Geografiske informationssystemer (GIS) og fjernanalyse

Studies on South Asia are an emerging interdisciplinary field, this volume expands on the currently limited literature available on South Asia and focuses on the regions environmental, climatic and natural resource base by looking at case studies from Nepal, India and Bangladesh. The book contains twelve chapters which deal with various environmental challenges, such as the impacts of climate change on floods and droughts, population structure and regeneration dynamics of dominant  treeline species, environmental changes and rural livelihoods, and change analysis and impacts of hard coastal structures. Apart from the various thematic areas and diversity of geographical coverage, most of the studies also demonstrate the application of geospatial techniques for the collection of environmental data, and the use of GIS for spatial analysis of the data. The specific application of geospatial techniques and methods includes NDVI, NDWI, NDBI, SMI, SPOT-VGT NDVI, environmental flow, distribution and trend estimation of tropospheric formaldehyde, vegetation sensitivity to climate change, variability of tropospheric  ozone, and geo-environmental problems.The contributors are seasoned researchers currently engaged in  academic and research activities, and work at universities  in USA, India, Bangladesh, Bhutan and Japan.

This textbook addresses the most recent advances and main digital technologies used in farming. The reader will be able to understand the main concepts and techniques currently used to efficiently manage agricultural production systems. The book covers topics in a general and intuitive way, with examples and good illustrations.

This work focuses on the potential impact of climate change on soil erosion in a monsoon-dominated sub-tropical region. Water-induced soil erosion due to extreme rainfall during the monsoon period is a major problem worldwide, from different environmental and socio-economic perspectives. This study region covered (South Bengal) is one of the fertile agricultural belts that produces a good amount of produce and contributes to the country's GDP. However, the rate of agricultural output has decreased rapidly in recent times due to a decline in soil fertility.The monsoon-dominated sub-tropical region has unique characteristics in terms of seasonal temperature fluctuations and the availability of rainfall events. The sub-tropical region is densely populated, with the majority of the population relying on rain-fed agricultural production systems. The declining rate of agricultural production has also established that soil fertility is declining and soil erosion is increasing. Numerous studies show that soil erosion is the major cause of the region's rapidly increasing trend of land degradation. A homeostatic mechanism cannot replace soil erosion, and a gap arises between soil erosion and regolith formation. Extreme changes in land use and land cover, population growth and the lacking support for traditional agricultural practices and management practices can accelerate the rate of soil erosion and its associated reservoir sedimentation in most countries of the tropical and sub-tropical environment. Quantitative information with maximum possible accuracy through validation regarding soil loss can be an essential part of the appropriate and sustainable soil and water conservation planning. The precise aspects of modern day management strategies are soil erosion susceptibility mapping using empirical and semi-empirical models in a GIS platform or the use of probability statistics.The main objective of this work is to propose the most suitable development strategies considering the amount of soil erosion for the present and future periods. Extensive field research has been done to identify the support practice factor that the local stakeholders adopt in this region. 

The book presents the results of a doctoral thesis conducted under the supervision of two international governmental universities in Egypt and the USA. This book is very important for specialists in the field of Physical Geography with concentration of Geographic Information Science and Remote Sensing techniques for Coastal Hazard Assessment. It deals with coastal hazards and disasters using unique techniques and methods, such as Coastline Change Detection, Sea-Level Rise Modeling and Future Predication, Coastal Erosion Hazard Mapping, and Coastal Vulnerability Index. The integration of geospatial technologies that applied accurately in this book especially for the coastal hazard mitigation and protection devise evaluation makes it very helpful for researchers and academics, as well as for coastal and civil engineers.

Harness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysisKey FeaturesCreate GIS solutions using the new features introduced in Python 3.10Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJIdentify the tools and resources that best align with your specific needsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python.This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you'll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You'll also learn how to leverage Python to process real-time data and create valuable information products.By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learnAutomate geospatial analysis workflows using PythonUnderstand the different formats in which geospatial data is availableUnleash geospatial tech tools to create stunning visualizationsCreate thematic maps with Python tools such as PyShp, OGR, and the Python Imaging LibraryBuild a geospatial Python toolbox for analysis and application developmentUnlock remote sensing secrets, detect changes, and process imageryLeverage ChatGPT for solving Python geospatial solutionsApply geospatial analysis to real-time data tracking and storm chasingWho this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.Table of ContentsLearning about Geospatial Analysis with PythonLearning about Geospatial DataThe Geospatial Technology LandscapeGeospatial Python ToolboxPython and Geospatial AlgorithmsCreating and Editing GIS DataPython and Remote SensingPython and Elevation DataAdvanced Geospatial ModelingWorking with Real-Time DataPutting It All Together

This book covers a wide spectrum of water resources management, including water supply and demand, operation and maintenance of water distribution systems, water quality assessment, impacts of climate change on hydrological extremes, and water governance. Rapid urbanization, industrialization, and population growth are the major factors contributing to a significant rise in water demands across all the sectors in India. Although the Indian Summer Monsoon Rainfall contributes primarily to the available surface and groundwater resources, recurrent non-uniform/erratic rainfall events have resulted in widespread water scarcity. On many occasions, extreme meteorological conditions trigger the severity of water-related disasters such as floods and droughts. The untreated wastewater from domestic and industrial sources discharged through un-engineered means, adds to the issue as it ends up polluting the surface and groundwater resources. 

This book provides an original cross-thematic and wide scope review of crime prevention processes in urban areas that are explicitly based on the cooperation between different scientific and professional fields. Focusing primarily on environmental and community-based crime prevention, this book compiles a peer-reviewed collection of papers and prospective essays that explore how, and to what extent, multi-disciplinarity can be used as a cornerstone for achieving safer cities.Relying on the input from specialists, researchers, decision-makers, and practitioners from around the world, it covers the various stages from theory to implementation, by discussing theoretical stances, interpreting policy and planning guidelines, uncovering unique educational experiences, and narrating insights and lessons learned from innovative research and practice. Hence, it provides vivid discussions and invaluable insights into processes of partnership building, planning, and management, oriented towards establishing successful mechanism for preventing crime and reducing feelings of insecurity in urban areas.

This book explores the use of advanced geospatial techniques in geomorphic hazards modelling and risk reduction. It also compares the accuracy of traditional statistical methods and advanced machine learning methods and addresses the different ways to reduce the impact of geomorphic hazards.In recent years with the development of human infrastructures, geomorphic hazards are gradually increasing, which include landslides, flood and soil erosion, among others. They cause huge loss of human property and lives. Especially in mountainous, coastal, arid and semi-arid regions, these natural hazards are the main barriers for economic development. Furthermore, human pressure and specific human actions such as deforestation, inappropriate land use and farming have increased the danger of natural disasters and degraded the natural environment, making it more difficult for environmental planners and policymakers to develop appropriate long-term sustainability plans. The most challenging task is to develop a sophisticated approach for continuous inspection and resolution of environmental problems for researchers and scientists. However, in the past several decades, geospatial technology has undergone dramatic advances, opening up new opportunities for handling environmental challenges in a more comprehensive manner.With the help of geographic information system (GIS) tools, high and moderate resolution remote sensing information, such as visible imaging, synthetic aperture radar, global navigation satellite systems, light detection and ranging, Quickbird, Worldview 3, LiDAR, SPOT 5, Google Earth Engine and others deliver state-of-the-art investigations in the identification of multiple natural hazards. For a thorough examination, advanced computer approaches focusing on cutting-edge data processing, machine learning and deep learning may be employed. To detect and manage various geomorphic hazards and their impact, several models with a specific emphasis on natural resources and the environment may be created.

Unique and authoritative reference combining concepts, theories, and hands-on analysis in the ArcGIS Pro software environment Fundamentals of Geographic Information Systems (GIS) Analysis bridges the gap between academic discussions and research with public and private professional practices in the field. The book discusses and illustrates essential concepts and theories, with tutorials showing students how to conduct hands-on analysis in the ArcGIS Pro software environment. Supplementary material for this text includes data files for the tutorials and students exercises. All datasets are sourced from public domains, including the US Census Bureau data, the New York State ITS Geospatial Services (https: //data.gis.ny.gov/), the New York State Department of Environmental Conservation (NYSDEC), the GIS Services of Erie County New York, and others. Written by a highly qualified academic, the book covers topics such as: Digital data models representing geographic information, including vector, raster, and 3D models Methods of spatial data input in vector and raster data formats to incorporate geographic features and events with their attribute data Geographic data collections in natural sciences, engineering, and social sciences, and relational, spatial, and structural querying of a database Coordinate systems, map projection, geo-referencing, geographic analyses, and internet-enabled geographic information sharing Spatial interpolation and spatial statistical analysis, network analysis, digital mapping, and map presentations Uniquely combining academic research and discussions with professional practices in the software and data analysis environments, Fundamentals of Geographic Information Systems (GIS) Analysis is an essential reference for GIS analysts and technicians, urban planners, civil engineers, and computer scientists, along with students in related programs of study.

This book presents both updated and new measurements on water resources from selective pilot areas form the Middle East. Demand for water has become very crucial notably in arid and semiarid regions like in the Middle East. The changing climate and the increased population are the most striking challenges on water resources in this region where the largest part of its territory is dry lands and deserts with minimal precipitation and high evaporation rates, and thus, the average per capita of water does not exceed 25 m3/year. This resulted in developing many studies and researches in different Middle East countries to clearly identify and assess the hydrological characteristics of the available water resources and to explore new resources in order to secure balanced water supply/demand. As a first of its type, this book introduces comprehensive knowledge on the successful reports of the use of satellite images in water studies in the Middle East, and the economic value resulted from adopting these techniques. Based on illustrated case-studies the book will represent a significant resource for a large number of experts, academics, researchers, engineers and different-level stakeholders including the decision makers.     

This book introduces a planning support system called Strategic Spatial Plan Support System (SSP-SS) to visualize population growth and predict energy demand, land use, and waste discharge resulting from urbanization. By analyzing policy interactions between household agents, the book uses SSP-SS to visualize policy effects on urban areas during stages of growth and decline. Simulations are created based on these policy outcome assessments, taking into account the influences of energy and resource consumption on sustainable development in urban environments. The book is geared towards researchers, universities, and urban policy makers.The book begins by presenting a framework of urban growth simulation, and introducing SSP-SS. Then, household lifecycle and relocation models are employed for simulating policy impacts on urbanization, and investigating the impacts of spatial strategic planning. Several projects are assessed using agent-based modeling including shopping centre construction, day-care service for aging populations, and shelter accommodation capacities for earthquakes and other disasters. The final chapters discuss water and energy management, the environmental impacts of demand and consumption, and future recommendations for sustainable development and policy implementation.Introduces Strategic Spatial Plan Support System (SSP-SS) to visualize population growth and predict energy demand, land use, and waste discharge resulting from urbanization.Analyzes policy effects on urban areas during stages of growth and decline.Discusses the influences of water and gas consumption on environmental issues in urban areas for sustainable development.

This book discusses the threats and impacts of flash floods in Vietnam on environmental, human, and socio-economic resources, and covers monitoring, forecasting, warning, urgent action plans, and prevention solutions. While the work focuses on cases in Vietnam, it is applicable to many regions in the world that experience flash flooding as a common occurrence. Through data collection, field surveys, and investigational statistics from a specialized group of authors, the book provides comprehensive background knowledge on flash floods, and a flash flood hazard map using remote sensing and GIS techniques that can be used to assess the likelihood and potential impacts of flash floods before vulnerable areas and populations can be threatened. The intended audience of this manuscript is people interested in the fields of weather, environment, and natural disasters. It will serve as a reference for environmental managers, administrators of disaster planning, and extreme weather scientists.

Starting from concrete examples in Geomorphology, this comprehensive textbook explains to graduate and postgraduate students, point-cloud data technology and associated methods from acquisition to final-product generation. In the last few decades, Geo-sciences have experienced a paradigm shift from the challenge of collecting enough data to the need of creating new processing tools that can handle the billions of data. This shift has come to Geomorphology with the increasing use of surface-pointclouds obtained from photogrammetry, laser scanners and processed by specialist software, and it is thus necessary for the next generation of geomorphologist to be fluent in these technologies. Consequently, this book explains from concrete examples how to use pointcloud technologies, from data collection to processing and final product generation. The philosophy of this book relies on two principles, first: you do not have to be a tech-wizard to use pointcloud technologies, allowing the you to bring back the focus on your science; second pointcloud methods can be affordable, therefore the book provide a set of worked-examples in the different geomorphological environments using open source software and R and Python code samples. The book can be used as a textbook in a geomorphology, geology, physical geography, Sabo-sciences and engineering class, as well as a companion for the more seasoned scientist who wants to solve specific problems.

Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGISKey Features:Follow along with actionable instructions with this practical guideBecome well-versed in advanced spatial modeling and machine learning techniquesLearn best practices for performing spatial analysis from an expert spatial data analystBook Description:Geospatial analysis is industry agnostic and a powerful tool for answering location questions. Combined with the power of SQL, developers and analysts worldwide rely on database integration to solve real-world spatial problems. This book introduces skills to help you detect and quantify patterns in datasets through data exploration, visualization, data engineering, and the application of analysis and spatial techniques.You will begin by exploring the fundamentals of geospatial analysis where you'll learn about the importance of geospatial analysis and how location information enhances data exploration. Walter Tobler's second law of geography states, "the phenomenon external to a geographic area of interest affects what goes on inside." This quote will be the framework of the geospatial questions we will explore. You'll then observe the framework of geospatial analysis using SQL while learning to create spatial databases and SQL queries and functions.By the end of this book, you will have an expanded toolbox of analytic skills such as PostGIS and QGIS to explore data questions and analysis of spatial information.What You Will Learn:Understand geospatial fundamentals as a basis for learning spatial SQLGenerate point, line, and polygon data with SQLUse spatial data types to abstract and encapsulate spatial structuresWork with open source GIS combined with plug-insVisualize spatial data and expand QGIS functionality with PostgresApply location data to leverage spatial analyticsPerform single-layer and multiple-layer spatial analysesWho this book is for:This book is for anyone looking to leverage their SQL knowledge to perform geospatial analysis. GIS analysts, data analysts, and data scientists with a basic understanding of both geospatial analysis and SQL will find this book useful.

Get up to speed quickly on the core topics and career paths that open source GIS has to offer. Learn how to avoid vendor lock-in while building a free and open source toolkit for yourself.

Soil and crop sensing is a fundamental component and the first important step in precision agriculture. Unless the level of soil and crop variability is known, appropriate management decisions cannot be made and implemented. In the last few decades, various ground-based sensors have been developed to measure spatial variability in soil properties and nutrients, crop growth and yield, and pest conditions. Remote sensing as an important data collection tool has been increasingly used to map soil and crop growth variability as spatial, spectral and temporal resolutions of image data have improved significantly in recent years. While identifying spatial variability of soil and crop growth within fields is an important first step towards precision management, using that variability to formulate variable rate application plans of farming inputs such as fertilizers and pesticides is another essential step in precision agriculture.The purpose of this book is to present the historical, current and future developments of soil and crop sensing technologies with fundamentals and practical examples. The first chapter gives an overview of soil and crop sensing technologies for precision crop production. The next six chapters provide details on theories, methods, practical applications, as well as challenges and future research needs for all aspects of soil and crop sensing. The last two chapters show how soil and crop sensing technologies can be used for plant phenotyping and precision fertilization. The chapters are written by some of the world's leading experts who have contributed significantly to the developments of precision agriculture technologies, especially in the area of soil and crop sensing. They use their knowledge, experiences, and successful stories to present informative and up-to-date information on relevant topics. Therefore, this book is an invaluable addition to the literature and can be used as a reference by scientists, engineers, practitioners, and college students for the dissemination and advancement of precision agriculture technologies for practical applications.

This book provides a comprehensive, systematic description of modern timekeeping and its specializations. Introductory chapters discuss the concept of time and its definition, then briefly look at pre-Atomic Era timekeeping to set the stage for the introduction of the atomic clock. Subsequent chapters focus on concepts such as frequency stability and measurement uncertainty, as well as computer network time-synchronization protocols including Network Time Protocol (NTP) and Precise Time Protocol (PTP). The book then delves into the nuts and bolts of the Global Navigation Satellite Systems (GNSS), Two-Way Satellite Time and Frequency Transfer, and Optical Time and Frequency Transfer. Timescale theory is then described as a way to combine clock data, and the algorithms and procedures used to generate Coordinated Universal Time (UTC) are given. Finally, there is a look at modern applications of timekeeping and time transfer.Featuring a glossary of all key terms, this book is highly recommended for trained or incoming physicists, engineers, or mathematicians working, for example, in manufacturing or timing laboratories. Additionally, it is suitable for use in introductory university courses dealing with the subject of timekeeping.

This edited volume focuses on the use of remote sensing techniques to assess and monitor mountainous ecosystems in Africa, with a focus on tracking changes related to climate change and human activity. The book is timely, as the interaction of mountain environmental dynamics with conservation and sustainability is an under-researched issue. The chapters in this volume use remotely sensed data to study a variety of topics related to mountains and their ecosystems, including but not limited to vegetation, energy systems, environmental hazards, ecosystem services, diseases, climatic shifts, geological formations and geomorphological dynamics. The ability to monitor, assess and analyze mountainous regions is aided by the availability of remote sensing products such as optical and microwave sensors and low-cost unmanned aerial vehicles (UAVs). The works presented here push the frontier of knowledge on mountain studies and will help shape local, national and global assessments and policies, including efforts toward the achievement of the African Agenda 2063. The book will be of interest to researchers and students in remote sensing, geography, ecology and sustainability, as well as to government organizations and conservation specialists.

Learn to use ArcGIS Pro confidently, quickly, and effectively with the newest edition in this best-selling series. Getting to Know ArcGIS Pro 3.2 introduces readers to ArcGIS Pro, the world's most powerful desktop GIS. Getting to Know ArcGIS Pro 3.2 walks readers through how to build a geodatabase, discover 3D GIS, create maps for web and physical presentations, and more. With more than 300 full-color images, Getting to Know ArcGIS Pro 3.2 clarifies complicated processes such as developing a geoprocessing model, using Python to write a script tool, and creating space-time cubes for analysis in easy-to-follow workflows. This edition has been completely updated for use with ArcGIS Pro 3.2.Michael Law is a cartographer and GIS professional with more than 16 years of experience. He lives in Toronto, Canada. Amy Collins is a writer and editor who lives in Northern California.

No matter what electronic tools you take into the field, everyone takes a notebook or a guidebook. Along with all your equipment, be sure to include this fieldwork guide.   Fieldwork Handbook gives you tips, best practices, and activities that make your work in the field more productive and successful. No matter how you use location intelligence in the field, you can up your game with this book and improve your experience. Covering preparation, equipment, workflows, and data, this book will show you how to Organize and reconcile field dataEffectively coordinate and dispatch field resourcesRefine fieldwork workflowsSync the office with the fieldThis handbook is your friend in the field.

Sundarbans, a UNESCO heritage site, is the world's largest single chunk of mangroves distributed on the Indian and Bangladesh coasts. The mangroves and associated ecosystems are one of the most fertile ecosystems of the earth. Sundarbans Mangrove Systems: A Geo-Informatics Approach portrays different perspectives of studying Sundarbans and mangroves using geospatial analysis. This book highlights the major issues with the Sundarbans mangrove forest, its future conservation strategies and its ecological importance using geo-informatics technology. It explains the usage of remote sensing data for providing information about the present state of mangroves and their tropic status, including assessment in terms of extent, density of community, condition, diversity, identifying potential habitats and heterogeneity. Furthermore, it discusses the use of hyperspectral remote sensing data for species level classification of mangroves, community zonation for biodiversity assessment and for preparing management plans for conservation.KEY FEATURESExclusively covers the ecological state of Sundarbans (mangrove systems) through geo-informatic studiesDescribes the application of a combination of geomorphological, biogeochemical and remote sensing methods to the analysis of temporal changesIncludes environmental factors affecting the health and decline of mangrovesCovers biodiversity and ecological controls in mangroves ecosystemsDiscusses a remote sensing approach for tropical forested island and mangroves mappingThis book is aimed at graduate students and researchers in environmental sciences, ecology, marine sciences, biology, geosciences and GIS/remote sensing areas.

Re-envisioning Remote Sensing Applications: Perspectives from Developing Countries aims at discussing varied applications of remote sensing, with respect to upcoming technologies with diverse themes. Organized into four sections of overlapping areas of research, the book covers chapters with themes related to agriculture, soil and land degradation studies; hydrology, microclimates and climate change impacts; land use/land cover analysis applications; resource analysis and bibliometric studies, culminating with future research agenda. All the topics are supported via case studies and spatial data analysis. Features:Provides the applications of remote sensing in all fields through varied case studies and spatial data analysis Includes soil and land degradation, microclimates, and climate change impactsCovers remote sensing applications in broad areas of agriculture, hydrology, land use/land cover change and resource analysis Discusses usage of GPS-enabled smartphones and digital gadgets used for mapping and spatial analysisExplores future research agenda for applications of remote sensing in post-COVID scenarioThis book is of interest to researchers and graduate students in environmental sciences, remote sensing, GIS, agricultural scientists and managers, forestry scientists and managers, and water resources scientists and managers.

Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research tools, and applications in different fields.