eChapters

Remote sensing provides large-scale information about crops and agricultural environments through satellite, aerial and other sensing technologies. This chapter examines the integration of remote sensing and artificial intelligence for crop monitoring and yield prediction. It introduces the fundamentals of agricultural remote sensing, important sensors and data types, vegetation indices and crop health assessment. Data acquisition and preprocessing are followed by applications of AI models for monitoring crop conditions and predicting yields. Remote sensing datasets can be combined with machine learning and other AI techniques to identify patterns associated with crop performance. The chapter also discusses case studies, limitations, emerging technologies and future research opportunities in intelligent crop monitoring and yield forecasting

Abstract

The Remote Sensing and the followed up field based investigations show that the Tamil Nadu coast, India, is facing series of geoenvironmental problems due to tectonic movements and morphodynamic processes. Such problems pose a challenge to the engineering geologists. The paper discusses such challenging engineering geological problems and plausible remedial measures.

1. Introduction

Plant diversity is vital for the survival and well-being of humanity. A number of domesticated plant species are critical to food security. In addition to the cultivated species, many wild plants also play an important role in meeting local needs for food, fuel, medicine and construction materials; crop wild relatives are also of special interest for crop breeding programmes. There are currently hundreds of underutilized plant species and varieties displaying traits of interest to meet present and future needs, while the value of many other plant species is yet to be discovered (Stohlgren et al. 1997). Researchers have confirmed the importance of the contributions and interdisciplinary understanding in relation to taxonomy, physiology, reproductive biology, conservation biology, hydrology, soils, as well as socioeconomic and climate change for holistic understanding of biodiversity patterns (Dale 1999; Myers et al. 2000). It is thus necessary that the professionals studying plant diversity require a synoptic view on the regulators of biodiversity and the tools through which the processes could be understood.

Spatial analysis can contribute significantly for improved understanding and monitoring of plant diversity. Results obtained from spatial analysis make it possible to formulate and implement targeted conservation strategies, which can be more effective (Escudero et al. 2003; Dale 1999). Outputs from spatial studies can provide critical information like evaluation of the current status of plant species and prioritize areas for conservation on the plant diversity, in particular geographic region. Spatial information, combined with available characterization and/or evaluation data, is very useful for effective genebank management (e.g. definition of core collections, identification of collection gaps, etc.). This type of analysis is conducted using Geographic Information System (GIS) tools, which allows one to carry out complex analyses combining different (spatial) data sources and generate maps, to facilitate the development and implementation of conservation policies (Goodchild 1992; Crosetto et al. 2000; McCarthy 2001).

Abstract

The ever increasing population in India and the world, impeding threats from the climate change scenario and the increasing demand for land resources from the industrial sector calls for improved resource efficiency. The production strategies are changing from input intensive to integrated resource management strategies. The shift is towards adopting the precision farming technologies like addressing the site specific variability and crop needs. Remote sensing technology coupled with GIS has been recognized as reliable tool in agriculture to guide application of fertilizer, pesticides and other farm inputs. With precision farming, technologies such as grid soil sampling, remote sensing, on- the-go sensing, and electronic yield monitoring help farmers gather very detailed information about the heterogeneous makeup of a farm field. Site specific applications means application of required input only where it is required rather than entire fields or adjusting application rates accordingly. This chapter discussed the input management based on the time of intervention - Input management prior to crop sowing, in season crop management and end of the season.

Keywords : Management zones, soil variability and Remote Sensing

Introduction

Remote sensing is the science and art of obtaining information about an object, area or phenomenon through an analysis of the data acquired by a device which is not in contact with the object, area or phenomenon under investigation. The definition of remote sensing is restricted to mean the process of acquiring information about any object without physically contacting it in anyway regardless of whether the observer is immediately adjacent to the object or millions of miles away. It is further required that such sensing may be achieved in the absence of any matter in the intervening space between the object and the observer. Consequently, the information about the object, area or any phenomenon must be available in a form that can be impressed on a carrier vacuum.

Remote sensing and Geographic Information Systems provide spatial information for monitoring crops, land, soil and water resources. This chapter introduces their fundamental principles and explains developments involving satellites, UAVs, hyperspectral sensors, thermal imaging and cloud-based geospatial platforms. Analytical techniques include vegetation indices, time-series analysis, spatial modelling and artificial intelligence. Applications cover crop-health monitoring, yield forecasting, irrigation planning, drought assessment, pest and disease identification and soil-resource management. Integration with IoT, automation and other digital technologies improves the timeliness and resolution of agricultural information. These tools support evidence-based decisions responding to food-security, climate-change and natural-resource sustainability challenges.

Abstract

The development index and the developmental planning of a Country/Nation mostly depend on its natural resources potential including water resources. The fast emerging Remote Sensing and GIS technology has substantially reduced the problems of water resources management including groundwater. The groundwater is distinctly controlled by western crystallines, central Tertiary sandstone and eastern Quaternary sediments in Pudukkottai district. While the groundwater behavior in crystallines is dominantly controlled by secondary porosity, in Tertiary formations and Quaternary sediments, it is controlled primarily by the primary porosity and by secondary porosities also if these are structurally deformed.

Abstract

Remote Sensing (RS) and Geographic Information System (GIS) have emerged as potential tools for competent planning and administration of water resources. In this study, a new methodology is proposed to delineate groundwater target zones using integrated RS, GIS and Analytical Hierarchy Process (AHP) method. The developed methodology is confirmed by a case study in Karur district of Tamil Nadu, Southern India. Seven thematic layers, viz., Lithology, Lineament Density, Geomorphology, Slope, Post– Monsoon Water Level, Drainage Density and Land use / Land cover were considered in this study. Selected seven thematic layers and their features were assigned suitable weights on the Saaty’s scale according to their virtual significance in groundwater incidence. The assigned weights of the thematic layers and their features were then normalized by using AHP. Finally, the selected seven thematic maps were incorporated by weighted linear combination method in a GIS environment to produce a groundwater target map.

ABSTRACT

Topsoil erosion, loss of fertile soil and subsequent deposition in the reservoir as well as in the low-lying region are one of the major problems in the tropical mountainous region. Knowledge of sediment yield from the river basin is a prerequisite to address such issues. Rivers from the Western Ghat region of Uttara Kannada district bring lot of sediments causing siltation in their mouth. In the present study, sediment yield from a Venkatapur river basin in Bhatkal Taluk of Uttara Kannada district is estimated by Universal Soil Loss equation (USLE). Morphometric characteristics of the river basins that reflect sediment yield potential of the river basin are used to constrain the data obtained. Various parameters for USLE is derived from the IRS 1D LISS III image and data are handled in GIS environment. Sediment yields in the basin 101 tons/yr. Morphometric characters of the basin such as drainage density, bifurcation ratio, basin circularity (0.6) and form factor (0.43) suggest its low potential of sediment yield.

Abstract

Remote sensing and Geographic Information System (GIS) are integrated system in providing precise information on nature, extent and spatial distribution of land resources to assess their potential and limitations for planning, monitoring and management towards sustainable development. The use of remote sensing and GIS provide immense opportunities in the field of large-scale mapping, generate and update of existing geographical databases for decision making in site- specific management and development of land resources. Integration of remote sensing and GIS includes the use of each technology to benefit the other, as well as the application of both the technologies for geospatial modelling and decision support. Remote sensing and GIS integration has clearly benefited from advances in computing and Global Positioning System (GPS) technologies, including innovations in use of decision tree algorithms and neural networks. The generated precise spatial database in GIS on land resources, socio-economic and contemporary technologies could be effectively used to develop GIS based Spatial Decision Support Systems (SDSS) for sustainable management of land resources. In this article an attempt has been made to provide an overview on the remote sensing and GIS technologies as a special decision support tools in inventory, characterization and management of land resources particularly in digital terrain analysis, geomorphological mapping, hydrological applications, soil resource inventory, assessment of soil loss, land degradation and soil fertility, soil-site suitability and watershed prioritization.

Abstract

Food security to the increasing population on one side and the increasing export of food grains on the other side has lead to the immediate attention on to raise the food production in our country. The decreasing land availability for agriculture due to the increased degraded lands and use of agricultural lands for non agricultural purposes has still worsened the situation. In order to match with the food requirement from decreasing agricultural lands, Indian agriculture has been pushed towards indiscriminate use of farm inputs exploiting the non renewable natural resources without any concern to the environmental ill effects leading to further degrading of the situation. Even though the concept of sustainability is age old, the importance is felt recently. Sustainable use of resources at farm level can magnify the effect of conserving non renewable resources and reducing ill effects on the environment at state level and to the country. Sustained farm production is a key to manage our resources and environment. Adoption of new information technologies with the conventional agronomic practices to increase farm production is made inevitable due to our past experience. The advancement in the technology tools like Remote Sensing, Geographic Information System, Global Positioning System and Decision Support Systems have paved way for better and effective management of crop production at farm level. 46 Geospatial Technologies for Natural Resources Management

A systematic approach of management involving advanced technologies and conventional agronomic practices through understanding the factors like soil variability, weather parameters and crops that contribute for the sustainable farm production is need of the hour. The spatial and temporal variability of the farm production parameters are to be studied and mapped in relation to historical data of the farm for successful site specific management. Site specific management tools may improve decisions related to site conditions, thereby reducing the aspect of uncertainty in the management system. This approach of farm management using advanced technologies viz., Remote Sensing, Geographic Information System, Global Positioning System, Variable rate technology, crop production modeling and Decision Support System can enable sustainable farm production with beneficial effect on the environment in future.

Keywords : Remote sensing, GIS, Sustainable Farm production, Site Specific Management

Introduction
Accurate and detailed information on the geographical location, aerial extent, and spatial distribution of wastelands is crucial for their efficient management and sustainable rehabilitation. Among modern resource assessment tools, Remote Sensing (RS) and Geographical Information Systems (GIS) have emerged as powerful technologies for detecting, evaluating, mapping, and monitoring degraded lands. Space-borne multispectral imagery, with its ability to provide large-scale, repetitive coverage, has proven particularly effective in identifying salt-affected soils and waterlogged areas in a timely and cost-efficient manner. In visual interpretation of satellite data, regions with high soil moisture and surface waterlogging appear as dark grey to black, indicating areas prone to water stagnation. To analyze the spatial dynamics of wastelands and assess the effectiveness of high-resolution satellite imagery, IRS P6 satellite data (23.5 m resolution) alongside topographical maps (1:50,000 scale) are commonly used. Given the dynamic nature of wastelands, multi-temporal satellite data is essential for precise delineation. These images must be geo-referenced within a unified coordinate system for consistency. The Planning Commission of India has endorsed GIS as an indispensable tool for land-use planning and wasteland development, facilitating treatment area identification, landuse trade-off analysis, and impact assessment simulations. Recognizing the importance of wasteland management in national development, the Ministry of Environment and Forests (MoEF) initiated a GIS-based wasteland mapping project in 1991, building upon earlier efforts by the Department of Science (1986) under the National Wasteland Identification Project, which mapped 147 districts at a 1:50,000 scale. A Task Force was established to develop a standardized classification system, later approved by the Planning Commission, categorizing wastelands into:

Remote sensing

It is the art and science of obtaining information about an object, area, or phenomenon through the analysis of data acquired by a device without being in physical contact. Remote sensing technology involves acquiring information about the earth’s surface and atmosphere, using satellite based sensor, interpretation, of spectral measurements and characterization of land resources and environmental phenomena.

The information recorded by this technology is not visible to humankind. It provides synoptic view as well as three-dimensional view of larger area. And data are received periodically and helps in monitoring the changes at short intervals. The data recording is unbiased one which is stored permanently and can be used in many applications. Thus, processing of data is faster than the conventional interpretation method. Thus, soil resources data collected by extensive ground surveys and soil maps were prepared using cartographic techniques these were tedious, costly and time consuming. Multi date, multi spectral and real time satellite data provide a reliable accurate tool for assessment and repeat coverage of the same area at the same local time for monitoring soil resources (Joshi, 2013). In remote sensing, reflected energy from the object is recorded by a sensor. The information about the object is obtained through the analysis of reflected rays. Three energy interactions occurs when electromagnetic energy falls on any surface feature i.e., reflection, absorption and transmission.

Technical Term                                 Definition

Geographical Information System

Base Map                                          Basic representation of a region of the earth as it would appear if viewed from above. That is a map containing geographic

                                                          features that is used for reference. Roads, for example, are commonly found on base maps

Abstract

The southern part of the Indian Peninsula has long been regarded as a stable area free from Pleistocene tectonics as it represents the Precambrian shield region. But the frequent earth tremors even up to a magnitude of 6.5 (Richter scale) which occurred in Tamil Nadu have started encouraging the geologists to think that it could possibly be a seismic prone zone. In addition, images acquired by the polar orbiting satellites offered valuable information on the fracture systems and fluvial anomalies suggesting possible Pleistocene tectonism in South India. Hence, a study has been undertaken to evaluate the signatures of Pleistocene tectonism in South India using IRS-lA, LISS-1 FCC imagery (Indian Remote Sensing Satellite lA, Linear Imaging Self Scanning 1, False Colour Composite) involving band 2, 3 and 4 under blue, green and red bands respectively.

The study has brought out a series of E-W trending cymatogenic arches and N-S trending extension, NE-SW trending sinistral, NW-SE trending dextral and E-W trending release fractures with characteristic signatures supporting Pleistocene tectonism in Tamil Nadu and Kerala.

On the basis of such morphotectonic features, a Pleistocene tectonic model has been presented with a N-S trending greatest principal stress and an E-W oriented least principal stress related to the movement of the Indian plate towards the Tibetan plate. Based on the model developed for Tamil Nadu and Kerala, a series of E-W trending cymatogenic arches and deeps have been proposed for Cochin- Rameswaram in the south to the Himalayas in the north. Further studies for seismotectonics, geothermal resources and hydrocarbon search have also been suggested along such arches and deeps.

Abstract

The art of remote sensing has opened up many vistas in the study of river migration as satellite photographs, both in their normal and digitally enhanced modes, vividly show the rivers and their migratory signatures. The rivers migrate for various reasons amongst which tectonic movement is one of the main causes. In the present study an attempt has been made to exhibit the palaeochannel network of the rivers of Western India and integrate them with lineament fabric, so as to understand the Quaternary tectonics of the region. The study has shown that Western India shows considerable signs of Quaternary tectonics.

Abstract

The art of remote sensing has opened up many vistas in the study of river migration as satellite photographs, both in their normal and digitally enhanced modes, vividly show the rivers and their migratory signatures. The rivers migrate for various reasons amongst which tectonic movement is one of the main causes. In the present study an attempt has been made to exhibit the palaeochannel network of the rivers of Western India and integrate them with lineament fabric, so as to understand the Quaternary tectonics of the region. The study has shown that Western India shows considerable signs of Quaternary tectonics.

ABSTRACT

Coastal zones are credited for the important role they play in the economic, industrial and commercial activities of many countries. Starting from the early fifties of the last century, coastal zones have attracted greater attention from the earth scientists owing to the discovery of huge hydrocarbon deposits in the Persian Gulf, Africa and South America. In addition, coastal zones especially those bordering Precambrian Cratons house significant quantities of economically important placer minerals which are being explored and exploited vigorously. In the present paper, sedimentary basins located along the continental margins of Tamil Nadu state, their geology and hydrocarbon potential are discussed. In addition, an attempt has also been made to demonstrate the usefulness of remote sensing techniques in the exploration of this strategic mineral.

Remote sensing involves measurement of the physical properties of a body without actual contact with it. It is based on the reflectance when the electromagnetic radiation is incident upon a body or surface. The spectral characteristics of the reflected radiation vary depending upon the nature and condition of the surface. In case of vegetation, it absorbs light and can reflect light in the visible range. The leaf pigments dominate the reflectance properties (Fig.9.1). The radiation bands within which the reflectance of electromagnetic radiation takes place are classified as follows-
Spectrum Wave Length (nm)
Visible 400-700
Near Infrared 701-1300
Middle infrared 1301-2500
Far infrared >3000

9.1. Vegetation Indices
The vegetation index is a mathematical expression that uses spectral imaging data to characterize the health and growth of the vegetation indices are calculated using data collected by remote sensors like Satellites. The vegetation indices have wide range of applications in agriculture and hydrology including
• Classification of vegetation
• Apex health of vegetation
• Changes in land cover
• Drought monitoring
• Estimation of soil moisture
• Evaluate crop growth, vigour, biomass and chlorophyll content
• Irrigation scheduling

4.1 Introduction
Having explored the direct, “hands-on” approach of in situ observations in the previous chapter, we now turn our attention to remote sensing. In contrast to in situ methods, remote sensing allows us to gather information about the atmosphere without physically touching it. Instead, it relies on the detection of electromagnetic radiation (or acoustic waves) that has been emitted, reflected, or scattered by the atmosphere or its constituents.
This chapter will focus specifically on ground-based remote sensing platforms. Positioned on or near the Earth’s surface, these instruments offer unique advantages for continuous monitoring of the atmosphere above a fixed location, providing valuable insights into vertical profiles, temporal evolution, and localized phenomena. From radars that peer into storms to lidars that probe aerosols and winds, and radiometers that measure emitted radiation, ground-based remote sensing provides a vital link between highly localized in situ measurements and the broader spatial coverage offered by satellite and
airborne systems.
We will delve into the fundamental principles behind several key groundbased remote sensing instruments used in meteorology. This will include an examination of how they interact with the atmosphere, the types of atmospheric parameters they can measure (such as precipitation, wind, temperature, humidity, aerosols, and trace gases), and the strengths and limitations of each technique. By understanding the capabilities of these ground-based “eyes” on the sky, we can better appreciate their contribution to weather forecasting, atmospheric research, and environmental monitoring.

Remotely gathered data are available from a range of sources and data collection techniques is often one type of tool that is not always found within the public domain easily. This is larger due to the fact that most of the data are acquired by equipment is expensive to build and maintain. However, there are many types of basic imagery, high-quality imageries are readily available widely at subsidized costs, particularly the purpose intented.

Remote Sensing in Mineral Exploration

Remote sensing is a powerful tool used in mineral exploration to study and identify minerals and mineral deposits from a distance. This technology allows geologists to gather information about the Earth's surface and subsurface without having to physically access the site. Here are some ways remote sensing is used in mineral exploration:

Mapping Geology: Remote sensing can be used to map geology by identifying surface features associated with mineral deposits. Geologists use images collected by remote sensing satellites and aircraft to create detailed maps of the geology and topography of a region. These maps can help identify areas that are likely to contain mineral deposits.

Mineral Identification: Remote sensing can help identify specific minerals by analyzing the reflectance or absorption patterns of light. Different minerals have unique spectral signatures that can be detected by remote sensing instruments. By analyzing these signatures, geologists can identify the type and abundance of minerals present in an area.

Remote Sensing in Oil Exploration

Remote sensing plays a significant role in the oil exploration industry. It refers to the use of sensors and instruments to gather information about the Earth's surface and its environment from a distance. This information can be used to locate and evaluate oil and gas deposits.

There are different remote sensing techniques used in oil exploration, including

Seismic surveys: This technique involves creating sound waves underground and recording their reflection to determine the subsurface structure. It is commonly used in oil exploration to locate potential oil and gas deposits.

Magnetic surveys: This technique uses a magnetometer to measure the magnetic field of the Earth's surface. Magnetic anomalies can indicate the presence of underground geological structures that may contain oil or gas deposits.

Gravity surveys: This technique involves measuring variations in the Earth's gravitational field, which can indicate the presence of underground geological structures.

6.1 Introduction to Remote Sensing in Watershed Management

Remote sensing involves acquiring information about the Earth's surface without physical contact, using satellite or aerial imagery. This technology has revolutionized watershed management by providing detailed and timely data, crucial for effective planning and decision-making.

6.2 Remote Sensing Technologies and Techniques

Satellite Imagery

Satellite imagery involves capturing images of the Earth from space using satellites equipped with sensors. Some of the most notable satellite missions providing high-resolution imagery for large-scale environmental monitoring include Landsat, Sentinel, and MODIS.

a. Landsat: Operated by NASA and the US Geological Survey, Landsat satellites have been observing the Earth since 1972. Landsat provides medium-resolution images (15-60 meters per pixel) in both visible and infrared wavelengths, allowing for detailed monitoring of land use, vegetation health, and water bodies.

ABSTRACT

Leaf N and chlorophyll (Chl) concentration of crop are important indicators of plant nitrogen status. Laboratory determination of plant tissue N is time consuming and costly. Also remote sensing is quickly becoming recognized as a valuable tool that has the potential to asses a wide variety of physiological properties over a large area in a short amount of time. This study examined the relationship of sorghum and bajra canopy reflectance spectral response to its nitrogen and chlorophyll content. The study consisted of two nitrogen level (N₀ : no nitrogen and N₁: recommended dose of nitrogen for each crop) for two crops (sorghum and bajra) . Chlorophyll and N content were measured throughout the growing season for both crops. Reflectance at increased significantly as N fertilizer rate decreased. Chl and N were strongly related to canopy reflectance for either individual wavelength or for spectral vegetative indices or ratios. Sorghum nitrogen fertilizer rate mainly affected leaf reflectance at 575 and 623 nm, while bajra at 565 and 657nm. The reflectance values at 581 and 603 nm had the highest correlation with sorghum leaf N concentration. Similarly, bajra leaf N concentration was highly correlated with 619 and 696 nm. Sorghum and bajra leaf N concentrations were highly correlated with reflectance ratio of R₅₈₁/ R₃₈₁ (r²= 0.44*) and R₆₁₉/R₄₆₂ (r²= 0.78***) respectively with greatest r² value. Similarly, Sorghum and bajra leaf Chl concentrations were highly correlated with R677/R527 (r²= 0.63**) andR688/R409 (r²= 0.71***) or R615/R411 (r2=0.71***),

respectively. Thus our results suggest that spectral reflectance measurements hold promise for the assessment of some physiological parameter at the leaf level real time monitoring of sorghum and bajra N status and N fertilizer management.

Much has been talked about the mighty river systems and their migratory histories, since Purana and Vedic times. In Mahabharata the places where the Lord Krishna is said to have played with Gopis in the banks of River Yamuna are now forming flat lands many kilometers away from the present day Yamuna. In the same way, there is a mention in ancient literature about the ‘Indo-Brahm’ river which was originated from the Himalayas and flown through Brahmaputra valley, Indo-Gangetic plains, Rajasthan desert and met the Arabian Sea in Rann of Kutch. Such a mighty river is said to have fragmented into Brahmaputra, Ganges and the Indus rivers due to Tectonic activity in Himalayan regions. Similarly there are many evidences in the Tamil literature. For example in ‘Kalingathuparani’ it is mentioned that the river ‘Palar’ was flowing north of Kanchipuram but the same river is now flowing south of it.

All these facts show that the rivers have the tendency to frequently change their courses. The advent of modern Remote Sensing Technology has opened up new vistas in studying such migratory rhythms of the rivers, as such old and buried rivers exhibit spectacular ribbon like, linear, curvilinear and contorted features with typical darker tone in black and white images and reddish tone in false color composites (FCC) and other color coded images.

Abstract

From amongst various geomorphic features the landforms generated by the river systems are significant as these are not only the records of the life histories of the rivers, but also the various dynamic processes and phenomenon operated during their origin like tectonic movements, sea level changes, flood histories, climate changes etc. In this connection a study has been conducted using the satellite borne multi spectral remote sensing data in mapping the flood plains, particularly their anomalies like symmetrical, asymmetrical, multilevel, offset and meander scrolled flood plains of some selected rivers from Asia viz: Tamirabharani, Cauvery and Brahmaputra from India, Indus river from Pakisthan and Tineg river from Phillipines. The paper discusses about these and their significance in unfurling the ongoing tectonic movements, sea level changes, palaeo – ongoing strom surge / tidal activities, ongoing earth tremors etc.

Introduction

The Rivers are not simply the carriers of water from the mountain ranges to the plains and to the oceans. But they have well defined and characteristic life histories of their own, with youthful stage in the mountains, mature stage in the plains and the old stage in the coastal regions [6] and the life histories of the rivers are often compared with man’s life. Infact, once the rivers are born on the surface of the Earth, their only aim is to attain the Mean Sea Level (MSL) or the base level of erosion as early as possible and as short as possible. So, in the mountains, which are normally their regions of origin, since the rivers occur thousands of meters above the MSL, flow vibrantly taking advantage of the slope as short and straight drainages to cut deeply the terrain so as to attain the MSL easily. Since such vibrant activities of the rivers, appear to be similar to the human youths, the rivers are said to be in youthful stage in the mountain regions and the erosion is the only dominant activity. But, on climbing down the hills and reaching the plains, as they still occur at hundreds of meters above the MSL, continue to flow towards the sea but with meandering, sinuous and oscillatory paths as they have lost their elevations when compared to the mountains and in this process of meandering perform both erosion and deposition. As such stabilized flow or “Watch and walk phase” of the rivers in the plains resembles the matured behavior of the middle aged Men, it is called as mature stage of the rivers. In contrast, when the rivers reach the coastal zones as they have attained the MSL, they don’t have any energy to carry even their own load and hence dump all the sediments as deltas, oscillate here and there and finally somehow reach the sea. Such Brownian movement of the rivers as replicates the activities of the old Men, called as the old stage of the rivers. Thus the erosion, both erosion and deposition and only the deposition are respectively the activities of the rivers in these three stages, accordingly the respective and contrasting landforms are formed in these three different stages of the rivers.

Abstract

Drainages have characteristic pattern and life histories with youthful stage in hilly areas, mature stage in plains and old stage in the coastal zones. The deviations from their normal life histories, especially aberrations in their flow pattern in the form of various drainage anomalies have been inferred to be the indications of dominantly the Eustatic and Isostatic changes. This, especially after the advent of Earth Observing Satellites, has attracted the geoscientists from all over the world, for studying such drainage anomalies. In this connection, a study has been undertaken in parts of South India falling south of 14° south latitude to comprehensively map some drainage anomalies like deflected drainages, eyed drainages and compressed meanders and to evolve the tectonic scenario therefrom. The mapping of such mega drainage anomalies and the related lineaments/faults from the satellite digital data and the integration of such lineaments/faults with the overall lineament map of South India showed that the study area is marked by active N–S block faults and NE–SW sinistral and NW–SE dextral strike slip faults. Such an architecture of active tectonic grains indicates that the northerly directed compressive force which has originally drifted the Indian plate towards northerly is still active and deforming the Indian plate.

Introduction

Rivers have characteristic pattern and life histories with (1) short and straight drainages performing only erosion in the hilly catchments, (2) meandering and sinuous paths doing both erosion and deposition in the plains and (3) Brownian pattern of movement doing only dumping of sediments and building up of deltas in the coastal zones. Such characteristic life history of the rivers with youthful stage in the hills, mature stage in the plains and the old stage in the coastal zones in general are controlled by the base level of erosion or Mean Sea Level (Thornbury, 1985). But, the rock types and the geological structures of the terrain related to palaeo, time transgressive and ongoing tectonism too significantly control the drainage pattern and the related river flow dynamics in all these three stages. Hence, geoscientists from all over the world have all along been showing greater interest in understanding the drainage architecture in general and their anomalies in particular. That too, after the advent of Earth Observing Satellite technology, mapping of drainage pattern and their anomalies like dentritic, semi dentritic, trellis, parallel, annular, radial, deflected, pirated, avulted, eyed, compressed, preferentially migrated and other drainage anomalies have gained greater momentum, since, besides lithology, tectonics and sea level changes, these drainage anomalies have the credibility of providing information on the flood histories, seismic vulnerability, past climates and anthropogenic phenomenon too (Chitale, 1970; Chen and Stanley, 1995; Lillesand, 1989; Matmon et al., 1999; Miller, 1937; Reid, 1992; Saintot et al., 1999; Smith et al., 1997; Twidale, 2004; Thornbury, 1985 and many others). In different parts of the Indian sub-continent too, studies have been carried out on the drainage anomalies using topographic sheets, black and white panchromatic aerial photographs and orbital multimode and multispectral satellite data, to elucidate the structural fabric, tectonic processes, climatological and other phenomenon of especially the Quaternary period (Amalkar, 1988; Babu, 1975; Bakliwal and Sharma, 1980; Barooah and Bhattacharya, 1989; Mitra et al., 2005; Murty and Mishra, 1981; Narasimhan, 1990; Oldham et al., 1901; Philip et al., 1989; Rajaguru and Kale, 1985; Ramasamy, 1991, 2006; Ramasamy and Kumanan, 2000; Ramasamy et al., 1987, 1991, 2006; Singh et al., 1996; Sood et al., 1982; Thirunaranan, 1938; Vaidyanadhan, 1971; Yashpal et al., 1980).

Introduction

Aquaculture has developed quickly over the last three decades to turn into important economic activity world wide. It has been attracting heavy investment due to the availability of sound technologies and limitless potential for export especially shrimp. There are several forecasts on demand for aquatic foods and it is expected that it will be 183 million tonnes by 2030. As the capture fishery production is stagnating at around 90 million tonnes, aquaculture is seen as the only alternative to bridge the widening gap in demand and supply. Globally, Landings from worldwide aquaculture has increased 10-15 % per year in the last two decades and this growth was due to the combined effects of scientific farming, availability of infrastructure facilities, changing consumer preferences and export market potential to developed countries.

Shrimp farming is relatively new and its introduction on a commercial scale can be traced to the early seventies. Despite the recent introduction, one third of the world shrimp production is from farmed shrimp. The shrimp producing countries are found in all regions based on FAO statistics including Europe and Middle East. The major to five shrimp producing countries are China, Thailand, Vietnam, Indonesia, and India. The future increase in world aquaculture production will be driven by China with South Africa, Latin America, the Caribbean and the Europe providing small increases.

Introduction

What is Remote Sensing?

Remote sensing means sensing the objects that are far away from the reach of our senses. It is a tool to identify the characteristics of an object without having any direct contact over it.

In other words, it can be defined as, science of acquiring information about earth’s surface viz., land cover, oceans & coastal, agriculture, forestry, geographical mapping etc, through sensing, energy emission and processing, analysing and recording reflected images.

How does it Work?

Remote sensing process involves interaction between radiation emitted from the object and the target of focus. This can be explained by the use of imaging system that follows seven elements. However, it should be noted at this point that remote sensing not only uses imaging system but also uses non-imaging sensors and sens- ing of emitted energy.

Sustainable management of soil resources is essential for food, nutritional and economic security of the country. The continued degradation of soil resources is considered an important factor in lowering the total and partial factor productivity of agriculture in the country. The process like soil erosion, nutrient loss, water logging, desertification, acidification, compaction, crusting, salinization and soil contamination affect food and environmental security in most parts of the country. The future agricultural growth at higher rate cannot be sustained with a deteriorating soil resource base. We need to monitor the quality of soil resources and devise appropriate management strategies for sustainable crop production without deteriorating the environment.

In India, several agencies like National Commission on Agriculture (NCA), Ministry of Agriculture (Soil and Water conservation Division), Society for Promotion of Waste lands Development (SPWD), NBSS&LUP, Nagpur have been constantly inventorizing and characterizing soil resource for drawing up land use and development plans at National and State levels. However, there is a great variance in estimates due to differences in approaches and criteria for assessment. For an example,the total degraded land as estimated by NCA is 148.09 Mha as against, 175.0 Mha by Ministry of Agriculture (Soil and water conservation Division), 129.58 Mha by SPWD and 187.7 Mha by NBSS&LUP, Nagpur.

In soil profile development, we focused on vertical variability in soils - the differences among soil horizons. In this chapter we focused on horizontal variability- how soils differ from place to place across the landscape. Spatial variations in soil properties occurs across distances having geographic meaning for land management-from a few meters to many kilometers. We need to monitor regularly the status of our soil resources employing modern technologies to refine our understanding about them and renew our commitment to their preservation. The applications of Remote Sensing (RS), Geographical Information Systems (GIS) and Global Positioning System (GPS) have greater opportunities to offer in this regard.

Abstract

Remote sensing has wider applications in agriculture right from landscape mapping, soil moisture, planting dates, cropping systems to climate change effects. Growing uncertainties of weather and climate change pose a major threat to food security of the country and thus warrant for farmers empowerment of informed decision in agricultural risk management. The technology is competent to monitor crop growth, predict crop yield in terms of quantity and quality, assists in estimating crop acreage, its condition, disease and pest status. Over the last two decades, the development of space technology has led to a substantial increase in satellite earth observation systems. Simultaneously, the Information and Communication Technology (ICT) revolution has rendered increasingly effective the processing of data for specific uses and their instantaneous distribution on the World Wide Web (WWW). Satellite data provide better coverage in time and in area extent than any other alternative. It is important to make maximum use of this information to monitor our environment. Access to these Satellite data and products is only the beginning. In addition, the ability to interpret, combine, and make maximum use of this information is an integral part of weather and climate management at the national level. Production estimates, post harvest and quantity available for market enable the farmers and policy makers to chalk out sustainable strategy to match supply with market demand.

Remote sensing is emerged as an important application of science in all fields for collection of information from a far. This chapter describes the fundamental concepts of remote sensing, electromagnetic radiation (EMR), the interactions between EMR and earth surface features, satellites etc.

8.1 What is Remote Sensing?

Remote sensing is nothing but acquiring information about an object without touching the object itself. In other words, remote sensing is the acquisition of information about an object or phenomenon, without making physical contact with that object. In present era, the term generally refers to the use of aerial sensor technologies to detect and classify objects on the Earth by means of propagated signals. As remote sensing is obtaining information about objects without making physical contact with them, remote sensing can be described as ‘reconnaissance from a distance’, ‘teledetection’ or a form of the common phrase ‘look but don’t touch’.

The word ‘remote sensing’ was coined by Evelyn L. Pruitt, an American Geographer in 1960. Remote sensing is defined as collection and interpretation of information about a target without being in physical contact with it. Remote sensing is the science and art of obtaining information about an object, area or phenomenon through the analysis of data acquired by a device that is not in contact with the object, area or phenomenon under investigation (Lillesand and Keifer, 1994).

The information needs a physical carrier to travel from the objects/events to the sensors through an intervening medium. Any force field such as gravity, magnetic or electromagnetic could be used for remote sensing. However, the electromagnetic radiation is conventionally used as an information carrier in remote sensing. Remotely sensed data may be gathered by different devices, including sensors, film cameras, digital cameras and video recorders. Instruments capable of measuring electromagnetic radiation are called sensors.

Remote sensing is nothing but opposite of astronomy. In astronomy, man looks from the earth to the sky to understand and gain more knowledge about the celestial objects. But remote sensing refers to going upward in the sky to look downwards to understand and gain more knowledge about terrestrial objects. In remote sensing, the aerial sensor technologies are used to detect and classify objects on earth by means of electromagnetic radiation.

4.1. Introduction

Many countries have set up a network of agrometeorological observatories to regularly record important weather parameters such as clouds, rainfall, surface temperature, humidity, wind and wind direction, solar radiation, soil moisture, temperature and humidity profile of the atmosphere, etc. The observation process is performed either manually or through Automatic Weather Stations (AWS).

This recorded information is used for weather forecasting, natural resources management and for tracking agricultural production. However, these networks, which handle data of high spatial climate variability, are typically less robust than they should be. Moreover, the agrometeorological data collected from different ground stations is not transmitted in real time to a central collection point which limits the use of information.

Satellite remote sensing technology is an alternative system that is gaining popularity in the recent times which has allowed us to obtain frequent and precise measurements of vital agrometeorological parameters such as rainfall, solar radiation, temperature, evapotranspiration, albedo etc. Satellite data has many advantages over traditional ground stations, such as high spatial resolution (50 m–5 km), wide spectral bandwidth range (0.4–3.75 um) and high temporal frequency (even half an hour) and the prospect of collecting data from remote areas. In addition to routine repeated observations, satellites often provide synoptic views of the earth’s surface from space on a wide scale and have archive of information to create baseline data.

The preparation, planning and use of agricultural technologies for agriculture, needs application of agricultural meteorology. The role of agrometeorology in the last three decades has increased in terms of increasing food and nutritional security for the burgeoning population and natural resource management particularly in the context of global climate change. Agrometeorology can help to minimize inputs, thus clarifying the contribution of ecosystems and agriculture to the carbon budget in the event of global change. Agrometeorological information needs to be disseminated to users in time and space quite accurately, as agricultural activities are linked to the very local situation where the outputs of modern tools such as local area models, climate models, and dynamic crop simulation models are reduced to finer grid resolution and combined using GIS to extract practical suggestions. This chapter describes the recent applications of remote sensing in Agrometeorology.

AIRBORNE SENSING: Remote sensing from an airplane. (Related words: airphoto, aerial)

In beginning of aerial photography, the photos were taken to evaluate existing topography, plan observation and sampling incursion. After World War II, the assessments of aerial photographic data were much more difficult, and real geological data started to be extracted. The use of stereoscopic pairs enabled geologist to explain height structural features. But, the basic use of remote sensing data were collected was in explanation. These trends of comparative photography until development took place into the satellite age when satellite imagery began popular and commercially available. The availability of various imageries in several combinations opened a option to analyze regions in much more detail. Apart from this, the multiple flying allowed a prospect to be viewed in various light during differnt seasons. The development drastically decreased the cost of regional exploration by minimizing repeated trips to a place for reassessing. This permitted data to be gathered from the tropics and arid regions that was previously difficult task in wide regional field exploration. As computer age progressed being developed and enhanced the value of data that allows imagery as digitally highlighted specific features. Ground features like differential cropping, drainage patterns, and folds/faults may be identified.

1. The technique of acquiring information about some object by recording devices, without being in physical contact with the object under study is_____________. (Remote sensing)
2. The term remote sensing was coined by ____________. (Ms. Evelyn Pruitt)
3. Father of Indian remote sensing is ________________. (Pisharoth Rama Pisharoty)
4. In remote sensing_____________ type of radiation is utilized for photography.(Infra red)
5. First aerial photograph was taken in 1858 by Felix Tournachon, known as ________, from a tethered ballon over the Bievre Valley in France. (Nadar)
6. Remote sensing systems which provide their own source of energy for illumination are known as_____________. (Active sensors)
7. _____________ sensors are very useful in detecting and mapping forest fires. (Thermal sensors)
8. Land cover classification using three levels of the scale of 1 : 100000 was developed by _____________agency. (NRSA)
9. The forest survey of India (FSI) conducts forest cover survey once in every_____________. (2 years)

Remote sensing is a technology that enables us to acquire information about one object or phenomenon without making physical contact with the object. Generally, we are used to take observations in site or at the site. Development of remote sensing technology is now making it possible to quickly and almost simultaneously to collect information from the earth surface and other planets as well. Remote sensing is used to measure the thermal complexity and structural complexity of microclimates and how organisms respond to environmental changes. The thermal complexity is a result of the response and behaviour of different characteristics of the earth surface including vegetation, soils, structures, water bodies etc. Optical remote sensing makes use of visible, near infrared and short-wave infrared sensors to form images of the earth’s surface by detecting the solar radiation refl ected from targets on the ground. Different materials refl ect and absorb differently at different wavelengths. Thus, the targets can be differentiated by their spectral refl ectance signatures in the remotely sensed images (Fig.18.1). Satellite Refelcted Solar Radiation Forest Water Grass Bare Soil Paved Road Built-up Area Atmosphere Incident Solar Radiation Sun
Structural complexity is defi ned as minimum number of numerical specifi cations required to describe an object in physical space. Structural complexity is a key ecological factor that describes the three-dimensional physical structure of the ecosystem. It is often linked with biodiversity.

Introduction

We use our five senses to perceive the world around us. Some senses, like touch and taste, need contact with the objects. But we get most of our information about the environment through sight and hearing, which do not need close contact with the external objects. In scientific terms, we are doing remote- sensing all the time. Remote- sensing is the process of recording/observing/ perceiving (sensing) objects or events from a distance. Remote- sensing is a way of monitoring and detecting the features, usually physical, of a specific area by measuring its reflected and emitted radiation (usually from satellite or aircraft).

Term rendering is generally used to recover the fat from animal material by heating. However, today rendering word is applied in broad sense in by-products industry to recover stock feed, fertilizers and fats from slaughter house offals, parts and condemned material from animal body. Today many products are recovered by rendering process and can be utilized in different ways. Some of them may be categorized as edible and inedible. The major examples are lard and tallow which may be edible and inedible depending on the processing. Other valuable products include chemicals, meat meals and bone meals. To get these valuable products, various animal by-products are processed like viscera, bones, trimmings, dead stock, feather and other poultry materials.

Abstract

The increase in human population, their growing economic activities and more and more transport demands, on one side, have increased the requirement of automobile fuels more than ever before, but the political turmoil in Middle east oil producing countries, the quick declination in stock of fossil fuels, the high rise in petroleum prices and rapid increase in air pollution due to automobile emission, on the other side, have made people of both developed and developing countries to search some non-polluting renewable but commercially viable alternative automobile fuel as a national priority. Hydrogen based fuel cells and latest designed improved storage batteries are knocking the door to bring revolution in developing non-polluted electric drive vehicles for 21st century. Successful blending of bio-diesel with petro-diesel has shown promising results to give relief to the present generation for saving some petroleum for future generation, for reducing air pollution substantially and for generating employment opportunity for its rural masses.

Renewable energy in agriculture represents a transformative shift toward sustainability and efficiency in food production systems. This article explores the various renewable energy technologies that are being integrated into agricultural practices, including solar, wind, biomass, and geothermal energy. It examines the benefits of these technologies in reducing greenhouse gas emissions, lowering energy costs, and enhancing the resilience of agricultural operations against climate change. Additionally, the article discusses the challenges and barriers to widespread adoption, such as initial investment costs, technological limitations, and policy obstacles. Through case studies and real-world examples, the article highlights successful implementations of renewable energy in agriculture and offers insights into future trends and innovations. The integration of renewable energy into agriculture not only supports environmental sustainability but also promotes economic viability and energy independence for farmers, paving the way for a more resilient and sustainable agricultural sector.

Nearly 70% of the world’s population will live in cities by the year 2050, and cities currently pump out 70% of greenhouse gas emissions. Buildings alone contribute nearly 40% of emissions. This is also true for Indian cities, which are responsible for 40% of the energy use, 30% of raw material use, and 20% of land use. The residential and commercial buildings account for 31 % of the electricity consumption and are rising at 10-12 % annually. As per estimates, approximately 75% of the building stock that India will see in the year 2047 is yet to be built. For all these issues, renewable energy is the major solution.

Soil air, its composition, gaseous exchange

Soil air is a continuation of the atmospheric air. It is in constant motion from the soil pores into the atmosphere and from the atmosphere into the pore space. The circulation of air in the soil and renewal of component gases like oxygen and carbon dioxide is known as soil aeration. Soil aeration is essential for the respiration and survival of soil organisms and plant roots.

Composition of soil air

Soil air contains gases like nitrogen, oxygen, carbon dioxide, water vapour and others. The composition of soil air is different from atmospheric air. Soil air contains more carbon dioxide and less oxygen than atmospheric air. It also contains more water vapour than atmospheric air. The nitrogen content of soil air is almost equal to atmospheric air. (Table below)

Introduction

The extension approaches followed in agricultural sector during past decade is reoriented in various occasions and new system of approaches were implemented. The present day orientation is shifting the efforts of extension from production orientation to profit orientation. Under these circumstances, the key factor for success will largely depend upon the extension service provider’s orientation and farmer’s capacity to absorb new knowledge of improved practices and technology. In order to orient officials towards this change HRD is essential. This will help them to impart required competencies in knowledge and skill such as technical, organisational, managerial, communication and business skills.

The present day extension approach i.e. ATMA focusing towards block level planning, farmers participation in planning and implementation of various schemes, group approaches, importance to agri and allied aspects are the major focus of ATMA. The Tamilnadu government in the year 2007 reorganised the extension system in to twotier at district level with the major focus to block level. In each block Agricultural Extension Centres (BAECs) were established which houses for agriculture, horticulture, marketing, agri. engineering departments.

There are two assumptions necessary involved in the regression of repeatability. These are:
• The variances of the different measurements are equal and have their components in the same proportions, and
• The different measurements reflect genetically the same character. If these assumptions are not valid the repeatability concept becomes vague without precise meaning in relation to the variance components.
The repeatability differs very much depending on the following:
• The nature of the trait.
• The genetic properties of the population.
• Environmental conditions under which the individuals are kept or raised.
Repeatability indicates the proportion of observed differences in performance between animals caused by differences in real producing ability. That is say, repeatability of butterfat yield is 0.40, and if a cow has an age corrected butter fat yield of 30 kilograms above the herd average, her near producing ability will be equal to 30x 0.40 = 12 kg. above the herd average. This can also be explained in a different way, i.e., if two cows differ in one lactation by 30 kg in butter fat yield. They will have difference of 12 kg of butter fat in the next lactation.
Repeatability has a value 0 to 1 and may also be expressed in percentage. Repeatability of a trait is not a constant, and measurements error or generally, varying environmental conditions tend to increase VEt and thus to decrease repeatability, shrode et al (1960) have shown the effect of a change in environmental conditions on repeatability. They obtained repeatabilities of milk yield, butter fat yield and fat percentage as 0.37, 0.32 and 0.7 respectively and after improving the management removed some of the environmental variations that had marked the cows real producing abilities.