eChapters

7.1 INTRODUCTION

Web technology revolutionised information technology and GIS of no exception. Analysis of maps available in internet through remote personal computer is called as web GIS. The term web is GIS synonymous with the term internet GIS. Most of the software vendors in the field of GIS have developed their GIS compatible to internet. The advantage of internet GIS is no need to own a GIS software in the personal computer. Maps available in a web site can be analysed for GIS functions as one could do with GIS in standalone personal computer. Applications of web GIS is not limited. Most of the governmental agencies, business people and others put their data in their server and the data could be analysed spatially for the users requirement. Internet mapping is simple, cost effective and reach vast audience.

Internet GIS is useful in field like civil engineering, government organisations, forestry, environment, goescience, utility planning etc.

Introduction

Famous French postmodern philosopher Jean Baudrillard commented on information once. “Information can tell us everything. It has all the answers. But they are answers to questions we have not asked, and which doubtless don’t even arise.” This seemingly paradox observation fits contemporary Internet age perfectly. Internet is a vast repository of information of all kinds and is bursting on its seams. The seeker needs to search with monumental grit and determination to have a full handle on the range of information available for any particular search. A search string for GIS returns more than 1185000 results, in a mere 0.26 seconds. Recommending a comprehensive resource list is not possible as new material gets continually added by way of additions and updates. However for a beginner the list given below will be handy. The flip side is GIS has innumerable resources and a broad range of content. Software vendors, organizations, individuals, universities and companies have provided a wealth of information. The readers are exhorted to make use of the materials to improve their understanding of the subject.

Interpretation of Drainage Patterns Through Aerial Photographs

Aerial photographs can provide a useful tool for interpreting the drainage patterns of a landscape. Drainage patterns are formed by the natural movement of water across the land and the way in which it flows from high to low areas, creating channels and streams that eventually converge into larger rivers and bodies of water. Different types of drainage patterns can be identified through aerial photographs, which can help to understand the underlying geology and topography of the landscape.

Here are some of the different drainage patterns that can be identified through aerial photographs:

1. Dendritic pattern

This pattern resembles the branches of a tree and is the most common type of drainage pattern. It occurs in areas where the underlying rock or soil is uniform and has no preferred direction of erosion. The streams converge into larger rivers, which may flow in a particular direction.

Rock

A rock is a solid, naturally occurring substance composed of minerals or mineraloids. It is typically formed through geological processes, such as cooling and solidification of molten lava or magma, or by the deposition and compaction of sediment over time. Rocks are classified into three main types based on their origin: igneous, sedimentary, and metamorphic.

Igneous rocks: Formed from the cooling and solidification of molten lava or magma. Examples include granite, basalt, and obsidian.

Sedimentary rocks: Formed from the accumulation and compaction of sediment, such as sand, mud, or organic matter, over long periods. Examples include sandstone, limestone, and shale.

Metamorphic rocks: Formed from the transformation of existing rocks under high temperature and pressure conditions. They undergo changes in mineral composition, texture, and structure. Examples include marble, slate, and gneiss.

Rocks serve as the building blocks of the Earth's crust and are an essential part of the geological processes that shape the planet. They can provide valuable information about Earth's history, including the formation of mountains, the movement of continents, and the presence of ancient life forms. Rocks are also used in various practical applications, such as construction, road building, and the production of minerals and resources.

Structural landforms are landforms that are created due to the underlying geological structures of the earth's crust. These structures can include folds, faults, and other features that have been formed due to the tectonic forces that have shaped the earth's surface over millions of years.

Examples of structural landforms include mountain ranges, plateaus, and rift valleys. Mountain ranges are formed due to the upliftment of the earth's crust along a fault line or due to the folding of the earth's crust. Plateaus are flat-topped landforms that are formed due to the upliftment of a large area of the earth's crust. Rift valleys are formed due to the stretching and pulling apart of the earth's crust along a fault line.

Denudational landforms, on the other hand, are landforms that are created due to the process of erosion and weathering. These landforms are formed due to the gradual wearing down of the earth's surface by natural forces such as wind, water, and ice.

1.    Introduction    3
2.    History and Scope of Microbiology    4
    2.1.    Controversy over the origin of microorganisms, 5
    2.2.    Germ theory of fermentation, 6
    2.3.    Germ theory of disease, 6
    2.4.    Development of laboratory techniques and pure cultures, 7
    2.5.    Discovery of immunization, 7
    2.6.    Discovery of protection against infection, 8
    2.7.    Discovery of chemotherapeutic agents, 8
    2.8.    Microorganisms as geochemical agents, 9

Introduction

Quantum Geographical Information System (QGIS) is an open source GIS environment. The software package is available freely in web https://www.qgis.org/en/site/forusers/download.html) and can be installed in a variety of computer platform e.g. Windows, Linux, Mac OS X, Android etc. Latest information on QGIS is available inhttp://www.qgis.org/en/site/. Basically, the QGIS GUI is divided into five areas: (i) Menu Bar, (ii) Tool Bar (iii) Map Legend, (iv) Map View and (v) Status Bar. QGIS allows users to define a global and project-wise coordinate reference system (CRS) for layers without a pre-defined CRS. It also allows the user to define custom coordinate reference systems and supports on-the-fly (OTF) projection of vector and raster layers. All of these features allow the user to display layers with different CRSs and have them overlay properly. QGIS has support for approximately 2,700 known CRSs. Definitions for each CRS are stored in a SQLite database that is installed with QGIS. The CRSs available in QGIS are based on those defined by the European Petroleum Search Group (EPSG) and the Institute Geographique National de France (IGNF) and are largely abstracted from the spatial reference tables used in Geospatial Data Abstraction Library (GDAL). For Post GIS layers, QGIS use the spatial reference identifier that was specified when the layer was created. For data supported by OGR, QGIS relies on the presence of a recognized means of specifying the CRS. In the following sections, few basic GIS analysis using example spatial data from arid western India is discussed. However, readers are advised to go through different tools and functions available in QGIS after installation of the system in personal computers.

Agriculture, the bedrock of human civilization, has always been intimately intertwined with the vagaries of weather. From the earliest cultivation efforts, the success or failure of harvests has been profoundly influenced by temperature, rainfall, sunlight, wind, and humidity. Agricultural meteorology, at its core, is the study of the relationship between meteorological conditions and agricultural production. It encompasses understanding how weather and climate impact plant growth, animal husbandry, pest and disease outbreaks, and overall farm management. This field seeks to apply meteorological knowledge to optimize agricultural practices, enhance productivity, and mitigate the adverse effects of weather-related risks.
While today we rely on sophisticated instruments, satellite imagery, and complex computer models to forecast and analyze weather for agriculture, our ancestors possessed an astute understanding of the natural world, honed through generations of observation. In ancient times, the acquisition of weather information for agricultural planning was a deeply empirical and often culturally embedded process.
Without thermometers, rain gauges, or barometers, early agricultural communities relied heavily on direct observation of natural phenomena. They meticulously watched the sky, noting the color and movement of clouds, the intensity and duration of rainfall, and the prevailing wind patterns. The appearance of halos around the sun or moon, the frequency of lightning, and even the behavior of animals were often interpreted as harbingers of impending weather changes.

Introduction

Water preceded all forms of life on earth and is believed to be the very origin of all organic life forms. For ages water was forming oceans, separating landmasses and shaping the terrain. It further influenced the emerging atmosphere of the young planet. The first organism formed and began to evolve in the primeval oceans. Mankind entered into the scene several million years later. The history is rather too long and infinitely complex. Variety of models with different degrees of certitude and consensus attempt to cogently explain what could have happened. But in spite of all the differences on the course of evolution, there is a universal consensus that water played a decisive role in the changes.

Across the globe, mankind managed to establish different civilizations with dissimilar cultural and material advancements much later. But then invariably all civilizations considered water holy and water bodies were sacred places. Holy wells, springs, rivers, cenotaphs were held in awe all through human history. The mysterious properties of water are studied from time immemorial. And water indeed is a strange compound! Availability of water for consumption and agriculture has determined the zenith and nadir of surviving and extinct civilizations.

Ancient Indian temples as part of design, have a prominent sacred well or a pond with an associated purana/myth narrating the mystical properties of the theertha / waterbody. It is still is a living tradition. In the west wishing wells survive from remote antiquity.

As global climate change becomes an increasingly urgent concern, the search for sustainable and renewable energy sources has intensified. Among the alternatives to fossil fuels, biofuels have emerged as a promising solution due to their potential to reduce greenhouse gas emissions and dependence on petroleum. Biofuels are derived from organic matter, such as crops, agricultural residues and other biomass, which can be converted into energy sources like ethanol, biodiesel, and biogas. For instance, crops like corn and soybeans contain oil extracts that can be processed into biofuels, offering a renewable and environmentally friendly alternative to traditional fossil fuels (Demirbas, 2009). However, the potential of biofuels extends beyond these conventional sources, as researchers explore a wide range of organic materials that can be sustainably regrown and harvested, minimizing ecological impacts (Naik et al., 2010). Biofuels have gained significant importance in both developed and developing economies, driven by their potential to enhance energy security and reduce carbon footprints. In 2023, the United States led global biofuel production with 15,550 million gallons, followed by Brazil with 8,260 million gallons. India ranked third, producing 1,430 million gallons of bioethanol and achieving an E11.7 blend rate during the 2022–2023 period. This blend was sourced from various feedstocks, including sugarcane juice (5%), cane molasses (5%), and damaged food grains (DFG) (1.7%). Historically, India’s ethanol production has relied heavily on sugarcane molasses, but the National Biofuel Policy (NBP) of 2018 has been instrumental in promoting the use of biofuels to reduce fossil fuel dependence, mitigate greenhouse gas emissions, and strengthen energy security (Ministry of Petroleum and Natural Gas, 2018). India, the third-largest energy-consuming nation globally, faces considerable challenges due to its heavy dependence on imported oil, posing risks to both economic stability and strategic security. With its share of global energy consumption projected to double by 2050, the country is actively seeking domestic alternatives to curb this reliance. Ethanol, produced within India, has emerged as a viable substitute. Since its initial pilot in 2001, ethanol-blended petrol has demonstrated notable environmental advantages, with every 10 million liters reducing CO2 emissions by 8,000–17,000 tonnes compared to conventional

1.1 An overview of biomass

Biomass is an abundant and renewable energy source that has the potential to meet the growing need for clean and sustainable energy solutions. This chapter provides an overview of biomass, its potential, and conversion technologies, which include various techniques for transforming biomass into useful forms of energy such as heat, electricity, and biofuels.

Biomass is an organic substance that can be obtained from agricultural crop waste, forest waste, animals, and microorganisms. It can be used as an energy source or a primary material in various applications. The energy in biomass is derived from photosynthesis, in which plants convert sunlight, carbon dioxide, and water into organic matter.

1.1 Introduction

The life on the earth is driven by the energy available in the various forms. Energy is the most crucial entity in development of the world. The sufficient and sustainable supply of energy is deciding factor in the global energy market. Solar energy from the sun is the basic source of energy on the earth which further manifest into the other energy forms. However, the fossil fuel energy is widely used energy on the larger scale on commercial basis due to its availability and technological advancement in handling these fossil fuels.

1.1 Forest Resources

Forest resources usually provide the raw materials for homes, workplaces, the books and newspapers, and the packaging that contains food and other products of our labor. Forest ecosystems supply our water, maintain our climate, and help purify the air, protect soils, and provide for wilderness experiences. Forests provide habitat for wildlife, and serve as preserves of biological diversity. Forests are sources of food, fuel and medicine for people all over the world. Forests shape the recreational landscape, help stabilize our farms, and enhance our cities.

About 30 per cent of the world’s total land areas are covered by forest with the area of 3.9 billion hectares. Nearly 47 percent of the world’s forests are in the tropics, 33 percent in the boreal zone, 11 percent in the temperate zones, and 9 percent in sub-tropical areas. The 94 million hectares of forest lost over the ten-year period, represented about 2 per cent of the world’s total forest cover, or an area larger than Venezuela. Two thirds of the world’s forests are located in ten countries: the Russian Federation, Brazil, Canada, the United States, China, Australia, the Democratic Republic of the Congo, Indonesia, Angola and Peru. Most of the deforestation work was performed in natural tropical forests, which lost 14.2 million hectares a year over the last decade. Africa and South America have suffered the most deforestation.

Africa was the region with the highest deforestation in the world, which lost 5.3 million hectares of forest per year in the 1990s. Forests are a major factor in the climate change issue. Forest ecosystems contain more than half of all terrestrial carbon, and account for about 80 per cent of the exchange of carbon between terrestrial ecosystems and the atmosphere. Deforestation in the 1980s may have accounted for a quarter of all human-induced carbon emissions, the second greatest emitter after fossil fuels. Forest plantations comprise 5 percent of the world’s forests. Asia has the largest area of plantations, accounting for 62 per cent of the world total. China accounts for 24 percent of that total and India, 18 per cent. Plantations supply about 35 percent of the world’s round wood. The area of forest plantations increased by an average of 3 to 4 million hectares per year during the 1990s. Half of this increase was the result of afforestation on land previously under non-forest land use, whereas the other half resulted from conversion of natural forest. There are reports that 12 percent of the world’s forests, or about 480 million hectares, are in protected areas.

Introduction

A geographic information system or geographical information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present all types of spatial or geographical data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. What goes beyond a GIS is a spatial data infrastructure, a concept that has no such restrictive boundaries. In a general sense, the term describes any information system that integrates stores, edits, analyzes, shares, and displays geographic information. GIS applications are tools that allow users to create interactive queries (user-created searches), analyze spatial information, edit data in maps, and present the results of all these operations. Geographic information science is the science underlying geographic concepts, applications, and systems.

GIS is a broad term that can refer to a number of different technologies, processes, and methods. It is attached to many operations and has many applications related to engineering, planning, management, transport/logistics, insurance, telecommunications, and business. For that reason, GIS and location intelligence applications can be the foundation for many location-enabled services that rely on analysis and visualization. GIS can relate unrelated information by using location as the key index variable. Locations or extents in the Earth space–time may be recorded as dates/times of occurrence, and x, y, and z coordinates representing, longitude, latitude, and elevation, respectively. All Earth-based spatial–temporal location and extent references should, ideally, be relatable to one another and ultimately to a “real” physical location or extent. This key characteristic of GIS has begun to open new avenues of scientific inquiry.

1.1 Introduction
Meteorology, at its heart, is the scientific endeavor dedicated to understanding the Earth’s atmosphere and the myriad phenomena that occur within it. More than just the art of predicting whether it will rain tomorrow, meteorology is a robust interdisciplinary science. It intricately weaves together principles from physics, chemistry, and mathematics to unravel the complexities of atmospheric processes. From the gentle caress of a breeze to the formidable power of a hurricane, meteorology seeks to explain the underlying mechanisms that drive our ever-changing weather and long-term climate patterns.
The study of meteorology encompasses a wide array of atmospheric characteristics. Meteorologists delve into the composition of the atmosphere, examining the various gases and tiny particles known as aerosols that reside within it. They also investigate its vertical structure, distinguishing between layers like the troposphere, where most weather occurs, and the stratosphere, home to the ozone layer. The motion of the atmosphere, manifested as wind systems ranging from local gusts to global circulations, is a central focus. Furthermore, meteorology explores the thermodynamics of the atmosphere, including how heat is transferred and how temperature changes, as well as the role of water in the atmosphere, from humidity to the formation of clouds and precipitation – the realm of atmospheric hydrology. Even the captivating
optical phenomena we sometimes witness, such as rainbows and halos, fall under the purview of meteorological inquiry.

Introduction

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. In a nutshell, R is an open-source software environment for statistical computing that is rapidly becoming the tool of choice for data analysis in the life sciences and elsewhere. It’s developed by a large international community of scientists and programmers and is at the forefront of new developments in statistical computing.

Introduction

R is one of the most popular platforms for data analysis and visualization currently available. It is free, open-source software, with versions for Windows, Mac OS X, and Linux operating systems. R is a language and environment for statistical computing and graphics, similar to the S language originally developed at Bell Labs. It’s an open source solution to data analysis that’s supported by a large and active worldwide research community. But there are many popular statistical and graphing packages available e.g. Microsoft Excel, SAS, IBM SPSS, Stata, and Minitab etc., however R has many interesting features so why it is mostly followed by researchers and academicians. Few of the major features of R are given below:

R has become the world-wide language for statistics, predictive analytics, and data visualization. R is not limited to statistics; it provides a wide range of tools for spectroscopy. It offers a wide range of methodologies for spectral data preprocessing, spectral analysis, multivariate analysis of the spectral data, machine leraning models for prediction of properties, and visualization. As an open source project, it’s freely available for a range of platforms, including Windows, Mac OS X, and Linux. An integrated development environment (IDE) for R, R Studio, allows interactive execution of R functions with user interface. RStudio is available in two formats - RStudio Desktop and RStudio Server - both available in free and fee-based (commercial) editions.
1.1. Download and Install R
The R software setup files can be downloaded from any of the widely distributed Comprehensive R Archive Network (CARN). To download R, go to url: https:// www.r-project.org/ and choose your preferred CRAN mirror, a location close to you and follow the steps to download and installation of R and Rtools.
1.2. Download and Install R Studio
Download and Install the R Studio once the base R is installed. Go to https://www. rstudio.com/products/rstudio/download/ and click on download R Studio Desktop with Open Source license.
1.3. Updating R
To update the R, we need the package “installr” and use function “updateR( )”

Introduction

The term “Remote Sensing” was coined in 1950s by Ms. Evelyn Pruitt, a geographer with the U.S. Office of Naval Research, and the term is now commonly used to describe as the science and art of identifying, observing, and measuring an object on the earth surface, without having any direct contact. This process involves the detection and measurement of radiation of different wavelengths reflected or emitted from distant objects or materials through which they may be identified and categorized by class/type, substance, and spatial distribution (National Aeronautics and Space Administration—NASA). Remote sensing technology has been widely applied in various applications such as water resources, agriculture, geological studies, forestry, land use, resource exploration, etc.

Elements of Remote Sensing

The remote sensing process involves an interaction between the incident radiation and the targets of interest, exemplified by the use of imaging systems in which the following seven elements are involved; however, remote sensing also involves sensing of emitted energy and using non-imaging sensors

Introduction
Remote sensing is the art and science of recording, measuring, and analyzing information about a phenomenon from a distance. Humans with the aid of their eyes, noses, and ears are constantly seeing, smelling, and hearing things from a distance as they move through an environment. Thus, humans are naturally designed to be remote sensors. In order to study large areas of the Earth’s surface geographers use devices known as remote sensors. These sensors are mounted on platforms such as helicopters, planes, and satellites that make it possible for the sensors to observe the Earth from above.

Definition
Remote sensing can be defined as any process whereby information is gathered about an object, area or phenomenon without being in contact with it. Our eyes are an excellent example of a remote sensing device. We are able to gather information about our surroundings by gauging the amount and nature of the reflectance of visible light energy from some external source (such as the sun or a light bulb) as it reflects off objects in our field of view. Contrast this with a thermometer, which must be in contact with the phenomenon it measures, and thus is not a remote sensing device.