eChapters

ABSTRACT

Hyperspectral image reduction processes use only information drawn from knowledge related to the surface reflectance properties. The chemical composition and crystal structure control the shape of spectral curve, position and amplitude of absorption bands. Spectral database provide a source of reference spectra useful in classification of hyperspectral images.

An attempt has been made to put all such available data on a structured database for easy access and visualization. A Web-based interface for reference spectra of natural surfaces facilitates data sharing and increases access to reference material for classification.

1. INTRODUCTION

Hyperspectral imaging refers to the imaging of a scene over a large number of discrete, narrow contiguous spectral bands in the visible through thermal infrared portion of the spectrum. Thus it is possible to construct a complete reflectance spectrum of every pixel in the scene.

Field spectroscopy is a nondestructive way to collect information on natural resources and is becoming a common exercise in remote sensing field campaigns. Specific absorption features of reflectance spectrum can be used to identify a number of important rock forming minerals, and have been used by geologists for geologic mapping and studies of volcanoes. Spectral database provide a source of reference spectra useful in classification of hyperspectral images.

9.1 Introduction

The objective of this chapter is to design an icloud and cayenne based perimeter monitoring system for agricultural field. Mobile app is designed to monitor the sensory data. The complete system comprises of two sections field device and mobile app. Field device comprises of NodeMCU, battery, motion sensors and laser sensors. The system is designed to monitor the agriculture field perimeter with motion and laser sensors, which are deployed at different locations of field. The sensory data is transmitted through NodeMCU and received at mobile app which can be accessed by authorized person. The same data can be accessed on webserver from anywhere in the world. Fig.9.1 shows a block diagram for a system. Table.9.1 shows the component list.

All agriculture universities have three main Directorates – Education, Research and Extension. Of the three, I have often observed that Extension Department comes in for maximum criticism. ‘Loose links’and ‘need to do much more in transfer of knowledge and technology’ are frequently emphasized at various levels – especially in meetings with farmers groups.

This is understandable – as it is said that less than 10% - often less than 6%, of lab scale knowledge and development reach the farmers fields in developing countries and even in many ‘developed’ counties. The situation is much more challenging when we consider a large population of small and marginal farmers – who as we saw can play extremely important role in eco-agriculture. A large percent of such farmers – women and men are practicing eco friendlyagriculture without realizing it. Their ‘ignorance’ can be converted in to advantage and new opportunity. The age old extension practice of reaching farmers through meetings, visit , seminars, camps, demonstrations all have limitations and need to be ‘scaled up’. New developments in information and communication Technology offer a great opportunity for a big jump in reaching the unreached. Again to alarge population of ‘Green Revolution’ – there is a new hope and opportunity.

ABSTRACT

The purpose of this paper is to utilize thermal infra red remote sensing data to find the location of heat processing units which contribute to high temperatures. These industries occur as anomalous pixels in urban area on the temperature map derived from the thermal remote sensing data. The night scenes of ASTER thermal infra red data were used for this study. It is concluded that analysis of temporal thermal remote sensing data can be used as a tool in environmental impact assessment and management. The temperature maps can be helpful in decision making process of siting / relocation of heat producing industries in and around cities.

1. INTRODUCTION

For sustainable industrial development, management and regular monitoring of the industries is needed. Knowledge of industrial impacts on the environment is an essential for environmental impact assessment and management. Thermal remotes sensing techniques can be applied for this.

ABSTRACT

The study was aimed to identify and delineate the groundwater potable zone in and around Madurai region. The study area is composed of Charnockites and Khondalites of Archaean age. The information of lithology, geomorphology and land use/land cover was generated using the Resourcesat (IRS P6 LISS IV data) and Survey of India (SoI) toposheets of scale 1:50,000 and integrated them with GIS to identify the groundwater potable zones of the study area. On the basis of hydrogeomorphology, groundwater potential zones was identified and delineated. From the overlay analyses landuse and EC, it is inferred that, poor category groundwater is found in the scrub forest, current fallow, canal and scrub with land areas.

Abstract

Geochemical processes occurring within the groundwater and reactions with aquifer minerals have a profound effect on water quality. Hydrogeochemical composition of groundwater can also be indicative of its origin and history of passage through underground materials which water has been in contact. Assessing groundwater quality and developing strategies to protect aquifers from contamination are necessary aspects for proper planning and designing water resources. Anthropogenic activities like explosion of population, industrial growth, inputs of fertilizer, pesticides, and irrigation has been a crucial factor for determining the quality of groundwater. In this scenario, 43 groundwater samples were collected from the Dindigul district of Tamilnadu, a Hard rock terrain. The samples wereanalyzed for major cations and anions along with heavy metals to derive the different quality parameters and to obtain the pollution indices of different samples. This study focuses to find out the spatial relationship between the analyzed fluoride concentration in groundwater and pollution indices derived from the heavy metal concentration in the groundwater of the study area and their variation with respect to season.

Abstract

A study on the Subsurface groundwater discharge (SGD) in the coastal Cuddalore region of south east India has been carried out. Measurement of surface water Radon, Water level, Electrical Conductivity (EC) and pH for a total of twenty four hours, by hourly interval the measurement has been calculated and promote correlated with tidal values calculated by WX Tide 32 software. The SGD measurements were made by using a modified seepage meter. The study reveals a match with water level variation and tide with minor variation due to influx of surface water. Saline discharges, fresh groundwater discharges and surface water mixing processes were identified along the coast. Lower SGD (37.24 – 79.16 cm/day) were observed during fresh groundwater discharge.

The sensors present over remote sensing satellites are designed to collect energy or radiance from the varied surface features having wide range of radiance i.e. from features like water bodies having very low radiance to features like sand or snow having very high radiance. But, most of the time, the study area may not have all these features; therefore, radiance values may remain confined to a narrow range. This reduces the contrast of the image, thereby decreases its visual quality. In this context, image contrast enhancement techniques are used for effective visualization and display of remote sensing image on computer screens or hard copy so that maximum amount of information can be derived through its visual interpretation.

Contrast enhancement of a digital image is a technique to modify the original grey levels of input image to the entire available range of the grey levels. This increases the contrast between various features in the image which improves the visual quality of original image. Contrast enhancement can be done by both linear and non-linear methods. Some of the commonly used contrast enhancement techniques with their implementation in R software are discussed in this chapter.

We need following packages for performing this exercise in R. raster package is required for importing of raster image and for performing contrast enhancement. RStoolbox package is also required for contrast enhancement as well as for visualization of raster data with ggplot2 package. rasterVis package is mainly used in this exercise for plotting histogram of the raster data.

The information of image is perfectly accepted by eyes when the image will be in convenient form. Always pictures accurately detail about information related to their position, sizes and inter-related with each other is objects. Actually images portray positional information which can be recognized as objects. Human eyes are exact example for differentiating that information from images to innate visual and mental ability.

Abstract

Before 1960’s, UAE was a poor developing country and almost there were no real signs of civilization. During the 1970’s two important things happened: H. H. Sheikh Zayed Bin Sultan Al Nahyan, the president of UAE, and the other Emirates rulers united together and established the United Arab Emirates and considerable oil findings were discovered. The UAE Leadership has proved to have deep future vision; in three decades the country jumped from a relatively backward scattered emirates to a well developed and civilized country.

Development is very obvious : from tents and sandy tracks to tower buildings and highways, from desert to green belts of palm trees and vegetables in all parts of the country, and most important, education, healthcare and all other services became the best in the region. Urban development was so sharp; someone who left the place 10 years ago can hardly know his location and services in all sectors became the best at the international level. The oil money was properly invested in development.

UAE Air Force Space Reconnaissance, used satellite and aerial images for the past 20 years and successfully utilized images from various sources including aerial photographs, Russian satellites images, SPOT and Landsat

Types of Biomedical Waste

1. Infectious waste: waste contaminated with blood and other bodily fluids (e.g. from discarded diagnostic samples), cultures and stocks of infectious agents from laboratory work (e.g. waste from autopsies and infected animals from laboratories), or waste from patients with infections (e.g. swabs, bandages and disposable medical devices)

2. Pathological waste: human tissues, organs or fluids, body parts and contaminated animal dead bodies

Horticulture, the branch of agriculture that deals with the art, science, technology, and business of cultivating plants, plays a vital role in food security, nutrition, and economic development globally. This diverse sector encompasses a wide array of activities, broadly categorized into:
• Pomology: The cultivation of fruits and nuts.
• Olericulture: The cultivation of vegetables.
• Floriculture: The cultivation of ornamental flowering plants.
• Landscape Horticulture: The design, construction, and maintenance of landscapes.
• Post-harvest Handling: The management of horticultural produce after harvest to maintain quality and reduce losses.
Each of these components is intricately linked with weather conditions, making the horticulture sector highly vulnerable to climate change.

Global warming has become a worldwide concern after feeling the rise of temperature much more clearly after 1990. Global warming has negatively affected agricultural production throughout the world attributed by the climate change parameters. Effects of climate change on horticultural crops reported nowadays include problems of biotic and abiotic stress, yield loss, quality loss, etc. To understand the impact of climate change problems in horticulture, it is prerequisite to comprehend the issues related to global carbon cycle, climate change phenomenon, relationship between climate change variables and direct as well as indirect climate change effects.

Agriculture is dependent directly on weather and indirectly on the consequences of climate change. Changes in temperature, precipitation, incoming solar radiation and CO2 concentration are expected to impact crop growth to a greater extent. The overall impact of climate change on worldwide food production is considered to be low to moderate only when there is successful adaptation strategies towards climate change (IPCC, 1998). Global agricultural production could be benefited by the doubling CO2 concentration. All sectors including agriculture will be impacted by the adverse effect of climate change imposed on water resources (Gautam and Kumar, 2007; Gautam, 2009). India is expected to face more seasonal variation in temperature with more warming in the winters than summers (Christensen et al., 2007; Cruz et al., 2007). The frequency of drought occurrence is increasing due to variations in the monsoonal rainfall. Climate change is posing a great threat to agriculture and food security. Water is the most critical agricultural input in India, as 55% of the total cultivated areas do not have irrigation facilities.

Even with the variations in climate conditions, food accessibility for the present generation is assured, but as far as the future is concerned there is still the uncertainity of agricultural production. All climate models predict that there will be more extreme weather conditions, with more droughts, heavy rainfall and storms in agricultural production regions. Such extreme weather events will inf luence pest and disease occurance, imposing severe risks of crop failure. In India, climate change could be a potential threat towards food security due to population growth, industrialization and economic development. India’s climate could become warmer under conditions of increased atmospheric carbon dioxide.

Abstract

Aquaculture is facing the serious effects of climate change in the form of scarcity of water and shift in dissolved oxygen level leading to outbreak of diseases. In a study conducted in Farm facilities of ICAR, Tripura it was seen that rise in temperature do have significant effect on hematological and biochemical parameters of fish which are basic index of good health of any organism. Many different diseases occur in the farmers’ pond and which can be controlled. So some basic diseases and their controlling strategies have been pointed out that can lead to better management of fish diseases in pond condition.

10.1 Introduction

The IPCC predicts the global average surface temperature to increase by 1.4 – 5.8 ^oC by 2100 with the increased atmospheric carbon dioxide (CO₂) concentration from 540-970 ppm over the same period. The atmospheric CO₂ concentration and temperature, both, showing a steep rise since last three decades and their impacts experienced across all sectors of agriculture. Serious concerns have been raised about the effects of global environmental change on community and ecosystem functioning. Climate change scenarios generated from General Circulation Models (GCM) with a doubling of atmospheric CO₂ predicted various extreme weather events viz., warming temperatures, increase in anti-cyclonic behaviour during the summer which may result in 20% increase in the precipitation, and long periods of drought between rain bearing storms.

Introduction

In the recent years, climate change emerged as the single most pressing problem globally, and accordingly received an increased attention (Berrang-Ford et al., 2011). It is evident that human activities are responsible for the climate change. Natural processes may also lead to climate variability and change. The climate change forecasts resulted from simulation models indicate that the future climate is likely to turn into more capricious nature with more occurrences of extreme events (IPCC, 2013b). Future projections according to the World Bank (2010) reveal the need of raising food production by 1.8% per annum between 2005 and 2050 due to climate change rather than 1% per annum if there were no impact of climate change. The effect of climate change can be seen on the quantity and quality of various components in the global hydrologic cycle (Milly et al., 2005; Bates et al., 2008).

In South Asia, vulnerabilities to the climate change are the largest in semi-arid and arid countries, where rainfall is concentrated over a few monsoon months, year to year variations are high, and where water resources are decreasing (Lenton, 2004). Cruz et al. (2007) indicated that climate trends and variability can be characterized by increased air temperatures, which are more pronounced during the winters compared to the summers. Across the entire Asia, both spatial and temporal variability in rainfall trends observed during the past few decades may be attributed to climate change. It is likely to happen that climate change will extend the dry season when negligible or very low flows occur, which particularly affects the water management process due to inability to rely on water storage reservoirs or groundwater resources situated at great depths (Giertz et al., 2006).

6.1 Introduction

The change in climatic factors over the years is affecting the entire ecosystem. According to Intergovernmental Panel on Climate Change (2007), the global surface temperature is predicted to increase between 1.4 and 5.8 ^oC by the year 2100. Microbial and plant metabolic processes are often dependent on environmental factors (for e.g. temperature and moisture), enzyme activity, and nutrient availability all of which are likely to be affected by climate change (IPCC, 2007). The global atmospheric concentration of carbon dioxide, an important greenhouse gas (GHG) largely responsible for global warming, has increased from a pre-industrial value of about 280 ppm to 389 ppm at present. Similarly, the global atmospheric concentration of other important GHGs like methane and nitrous oxides has also increased considerably. The increase in GHGs was 70% between 1970 and 2004.

Rising atmospheric CO₂ is able to change the physiological activities of plants and soil micro organisms which in turn control the flow of carbon (C) and nitrogen (N) in terrestrial ecosystems. The change in climatic factors also alters the beneficial plant-microbe interactions, which may be positive, negative, neutral or having variable effects. The survival and activity of microorganisms in the rhizosphere mainly depend on the flow of carbon in the root exudates. The composition of these root exudates is affected by various environmental factors such as soil type, pH, light intensity, oxygen status, soil temperature, soil moisture and nutrient availability. Diverse microbial activities pose a major challenge to predict the response of microbial community to global climate change. These changes in microbial activity have larger impacts on vital ecological processes such as nutrient cycling.

Sericulture, the art and science of silk production through silkworm rearing, is profoundly influenced by weather conditions. Optimal weather is not just beneficial; it’s often a prerequisite for successful mulberry cultivation and healthy silkworm development. Deviations from ideal conditions can lead to decreased productivity, increased disease incidence, and ultimately, economic losses for sericulturists.
20.1. Weather’s Influence on Mulberry Cultivation
Mulberry (Morus spp.) leaves are the sole food source for the most commercially important silkworm, Bombyx mori. Therefore, the health and productivity of mulberry plants are paramount. Weather parameters significantly affecting mulberry growth (Fig. 20.1) include:
Temperature: Mulberry thrives in a mean atmospheric temperature range of 24 to 28oC . While it can survive between 13.0 to 37.7oC, optimal growth and bud sprouting occur within the narrower ideal range. Temperatures outside this can stunt growth and leaf quality.
• Rainfall: An annual rainfall between 600 mm and 2500 mm is suitable for mulberry. In regions with lower rainfall, irrigation becomes essential. Consistent moisture is crucial for leaf yield and quality. Excessive rainfall can lead to waterlogging, harming the plants.