eChapters

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.

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)

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.

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

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.

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.

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.

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’.

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)