Based on detailed research funded across two continents and involving universities in Argentina, Spain and the UK, this book sets out an innovative, multidisciplinary approach to assessing both environmental and social risks in a given territorial area. Using data from a number of Ibero-American nations, the study combines environmental, socio-economic and geographic factors to construct a set of spatial and technical indicators that measure the social vulnerability and industrial hazardousness of a defined area. Aggregating these indicators in a geographic information system (GIS) allows researchers to assess the potential risk to which a certain area and its population are subject as a result of the environmental deterioration caused by co-located industrial activity.

This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data. It explains the latest methods in processing and analyzing geodetic time series data from various space missions (i.e. GNSS, GRACE) and other technologies (i.e. tide gauges), using the most recent mathematical models. The book provides practical examples of how to apply these models to estimate seal level rise as well as rapid and evolving land motion changes due to gravity (ice sheet loss) and earthquakes respectively. It also provides a necessary overview of geodetic software and where to obtain them.

Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale. Part C sketches recent trends in automatic analysis of remote sensing data.

Remote Sensing of Geomorphology, Volume 23, discusses the new range of remote-sensing techniques (lidar, structure from motion photogrammetry, advanced satellite platforms) that has led to a dramatic increase in terrain information, and as such provided new opportunities for a better understanding of surface morphology and related Earth surface processes. As several papers have been published (including paper reviews and special issues) on this topic, this book summarizes the major advances in remote sensing techniques for the analysis of Earth surface morphology and processes, also highlighting future challenges. Useful for MSc and PhD students, this book is also ideal for any scientists that want to have a single volume guideline to help them develop new ideas. In addition, technicians and private and public sectors working on remote sensing will find the information useful to their initiatives.

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques.

Glaciers and ice sheets have been melting significantly during recent decades, posing environmental threats at local, regional and global scales. Changes in glaciers are one of the clearest indicators of alterations in regional climate, since they are governed by changes in accumulation (from snowfall) and ablation (by melting of ice). Glacier changes have been measured for the last century by traditional field measurements, resulting in long time series for a few glaciers. Remote sensing data and methods, and geographic information systems, provide the means to allow glacier changes to be monitored at a global scale, to be analysed rapidly and to store the results and present information to both scientific and popular audiences in a way which was not possible before the digital revolution. Remote sensing of glaciers began with terrestrial and aerial photography during the middle of the 20th century, but today the discipline embraces a large variety of data types from laser scanner data to very high resolution satellite imagery, which can be applied to the mapping of glacier changes in terms of area, surface zonation or thickness. This book highlights the history of the remote sensing of glaciers, the physics of glaciers and remote sensing of them, and focuses particularly on modern data and methods used by remote sensing specialists and glaciologists. The book presents examples of glacier research carried out, for example in the Alps, Norway, Iceland, Caucasus, Patagonia, Rocky Mountains, Pakistan, Antarctica, New Zealand, and Svalbard.
This book is of interest to specialists and students working in the field of remote sensing, glaciology, physical geography, geology and climate change.

This book comprises select proceedings of the International Conference on Trends and Recent Advances in Civil Engineering (TRACE 2020). The volume focuses on latest research works carried out in the area of water resources and transportation engineering. The topics include technological intervention and solution for water security, sustainability in water resources and transportation infrastructure, crop protection, resilience to disaster like flood, hurricane and drought, traffic congestion, transport planning etc. It aims to address broad spectrum of audience by covering inter-disciplinary innovative research and applications in these areas. It will be useful to graduate students, researchers, scientists, and practitioners working in water resources and transportation engineering domain.

In June/July 2008 the Institute for Geoinformation and Cartography at the Vienna University of Technology organized a scientific colloquium in this city, where 15 well-known scientists presented their ideas on research for the upcoming decade. This book contains papers prepared by the participants as well as by other researchers. The eighteen papers in this book reflect the opinion of a core group of Geoinformation scientists about future research topics. Dealing with these topics poses multiple research questions for the coming years

In recent years 3D geo-information has become an important research area due to the increased complexity of tasks in many geo-scientific applications, such as sustainable urban planning and development, civil engineering, risk and disaster management and environmental monitoring. Moreover, a paradigm of cross-application merging and integrating of 3D data is observed. The problems and challenges facing today's 3D software, generally application-oriented, focus almost exclusively on 3D data transportability issues - the ability to use data originally developed in one modelling/visualisation system in other and vice versa. Tools for elaborated 3D analysis, simulation and prediction are either missing or, when available, dedicated to specific tasks. In order to respond to this increased demand, a new type of system has to be developed. A fully developed 3D geo-information system should be able to manage 3D geometry and topology, to integrate 3D geometry and thematic information, to analyze both spatial and topological relationships, and to present the data in a suitable form. In addition to the simple geometry types like point line and polygon, a large variety of parametric representations, freeform curves and surfaces or sweep shapes have to be supported. Approaches for seamless conversion between 3D raster and 3D vector representations should be available, they should allow analysis of a representation most suitable for a specific application.

This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry.

The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages.

GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.

Volcanoes have terrified and, at the same time, fascinated civilizations for thousands of years. Many aspects of volcanoes, most notably the eruptive processes and the compositional variations of magma, have been widely investigated for several decades and today constitute the core of any volcanology textbook. Nevertheless, in the last two decades, boosted by the availability of volcano monitoring data, there has been an increasing interest in the pre-eruptive processes related to the shallow accumulation and to the transfer of magma approaching the surface, as well as in the resulting structure of volcanoes. These are innovative and essential aspects of modern volcanology and, as driving volcanic unrest, their understanding also improves hazard assessment and eruption forecasting. So far, the significant progress made in unravelling these volcano-tectonic processes has not been supported by a comprehensive overview. This monograph aims at filling this gap, describing the pre-eruptive processes related to the structure, deformation and tectonics of volcanoes, at the local and regional scale, in any tectonic setting. The monograph is organized into three sections ("Fundamentals", "Magma migration towards the surface" and "The regional perspective"), consisting of thirteen chapters that are lavishly illustrated. The reader is accompanied in a journey within the volcano factory, discovering the processes associated with the shallow accumulation of magma and its transfer towards the surface, how these control the structure of volcanoes and their activity and, ultimately, improve our ability to estimate hazard and forecast eruption. The potential readership includes any academic, researcher and upper undergraduate student interested in volcanology, magma intrusions, structural geology, tectonics, geodesy, as well as geology and geophysics in general.

Theoretical foundations of atmospheric remote sensing are electromagnetic theory, radiative transfer and inversion theory. This book provides an overview of these topics in a common context, compile the results of recent research, as well as fill the gaps, where needed. The following aspects are covered: principles of remote sensing, the atmospheric physics, foundations of the radiative transfer theory, electromagnetic absorption, scattering and propagation, review of computational techniques in radiative transfer, retrieval techniques as well as regularization principles of inversion theory. As such, the book provides a valuable resource for those who work with remote sensing data and want to get a broad view of theoretical foundations of atmospheric remote sensing. The book will be also useful for students and researchers working in such diverse fields like inverse problems, atmospheric physics, electromagnetic theory, and radiative transfer.

GeoComputation and Public Health is fundamentally a multi-disciplinary book, which presents an overview and case studies to exemplify numerous methods and solicitations in addressing vectors borne diseases (e.g, Visceral leishmaniasis, Malaria, Filaria). This book includes a practical coverage of the use of spatial analysis techniques in vector-borne disease using open source software solutions. Environmental factors (relief characters, climatology, ecology, vegetation, water bodies etc.) and socio-economic issues (housing type & pattern, education level, economic status, income level, domestics' animals, census data, etc) are investigated at micro -level and large scale in addressing the various vector-borne disease. This book will also generate a framework for interdisciplinary discussion, latest innovations, and discoveries on public health. The first section of the book highlights the basic and principal aspects of advanced computational practices. Other sections of the book contain geo-simulation, agent-based modeling, spatio-temporal analysis, geospatial data mining, various geocomputational applications, accuracy and uncertainty of geospatial models, applications in environmental, ecological, and biological modeling and analysis in public health research. This book will be useful to the postgraduate students of geography, remote sensing, ecology, environmental sciences and research scholars, along with health professionals looking to solve grand challenges and management on public health.

Soil quality is threatened by many human-induced activities, but can also be improved by good land management. In the relatively short history of mankind on earth, the landscape and soils of the world have been drastically modified from their "natural " state. Landscapes altered by man's activities are termed "Anthroscapes" which are inextricably linked to culture and history. The challenges for today's scientists are to devise and implement sustainable land management strategies in order to preserve the land for the benefit of future generations. This book is a valuable compendium of the research experiences so far gained in studies of the context and concept of the "Anthroscape" and highlights the potential future contributions of such research to sustainable development.

Sonic Detection and Ranging (SODAR) systems and Radio Acoustic Sounding Systems (RASS) use sound waves to determine wind speed, wind direction, and turbulent character of the atmosphere. They are increasingly used for environmental and scientific applications such as analyzing ground-level pollution dispersion and monitoring conditions affecting wind energy generation. However, until now there have been no reliable references on SODAR and RASS for practitioners in the field as well as non-experts who wish to understand and implement this technology to their own applications.

Authored by an internationally known expert in the design and use of SODAR/RASS technology, Atmospheric Acoustic Remote Sensing: Principles and Applications systematically explains the underlying science, principles, and operational aspects of acoustic radars. Abundant diagrams and figures, including eight pages of full-color images, enhance clear guidelines and tools for handling calibration, error, equipment, hardware, sampling, and data analysis. The final chapter explores applications in environmental research, boundary layer research, wind power and loading, complex terrain, and sound speed profiles.

Atmospheric Acoustic Remote Sensing offers SODAR and RASS users as well as general remote sensing practitioners, environmental scientists, and engineers a straightforward guide for using SODARs to perform wind measurements and data analysis for scientific, environmental, or alternative monitoring applications.

Get the latest information about online GIS using ArcGIS apps and functionality. Capabilities of Web GIS keep expanding, and Getting to Know Web GIS, fifth edition, describes some of the most cutting-edge and exciting innovations. From publishing data as services and configuring engaging web and mobile apps to automation, scripting, and real-world applications, this book shares how to use the most current software and apps for using ArcGIS in the cloud. In the newest edition of Getting to Know Web GIS, you can work with the latest releases of ArcGIS Online, ArcGIS Pro, ArcGIS StoryMaps , and ArcGIS mobile apps. You can experience ArcGIS Experience Builder, ArcGIS Field Maps, ArcGIS Instant Apps, ArcGIS Image for ArcGIS Online, ArcGIS Mission, and the latest advances in artificial intelligence, virtual reality, and tools for spatial data science. No programming is required, but you can learn more about Web GIS programming in this book using JavaScript, webhooks, and ArcGIS Arcade. Use the fifth edition to: improve your online visual storytelling, work with 2D smart mapping and 3D web scenes, create informative web experiences and dashboards, support field operations and data collection using mobile apps, use new data science tools for spatial analysis and geoprocessing, detect objects using deep learning packages, program a triggered notification using a visual interface, and more. GIS expert, instructor, and author Pinde Fu provides lecture slides and additional resources in an online story using ArcGIS StoryMaps. Today's modern GIS is Web GIS-get onboard with one of the most interesting and creative areas of GIS

Render three-dimensional data and maps with ease.

Written as a self-study workbook, "Introduction to 3D Data" demystifies the sometimes confusing controls and procedures required for 3D modeling using software packages such as ArcGIS 3D Analyst and Google Earth.

Going beyond the manual that comes with the software, this profusely illustrated guide explains how to use ESRI's ArcGIS 3D Analyst to model and analyze three-dimensional geographical surfaces, create 3D data, and produce displays ranging from topographically realistic maps to 3D scenes and spherical earth-like views. The engagingly user-friendly instruction:

- Walks you through basic concepts of 3D data, progressing to more advanced techniques such as calculating surface area and volume

- Introduces you to two major software packages: ArcGIS 3D Analyst (including ArcScene and ArcGlobe) and Google Earth

- Reinforces your understanding through in-depth discussions with over thirty hands-on exercises and tutorial datasets on the support website at www.wiley/college/kennedy

- Helps you apply the theory with real-world applications

Whether you're a student or professional in geology, landscape architecture, transportation system planning, hydrology, or a related field, "Introduction to 3D Data" will quickly turn you into a power user of 3D GIS.

A comprehensive resource on airborne synthetic aperture radar (SAR) systems, Airborne Circulatory Polarized SAR explains the theory, system design, hardware and software, and applications of airborne circularly polarized SAR in environmental monitoring and other uses. Readers learn how to build the hardware and software of circularly polarized SAR, the antenna system, and how to generate point target responses and images using the range doppler algorithm (RDA) from raw signal data. The book discusses applications and analyzing techniques using a circularly polarized SAR system and image processing. Images and MATLAB codes are provided to help professionals and researchers with their applications and future studies. Features 1. Provides the theory of circularly polarized wave and polarimetry related to system design, scattering analysis, polarimetric SAR, and applications in microwave remote sensing. 2. Explains the real radio frequency (RF) system and the original antenna, including circuit explanation and know-how of measurement technique to adjust to the required parameter in system design. 3. Discusses the technique of ground test and flight mission to calibrate and validate the performance of airborne circularly polarized SAR. 4. Highlights image signal processing with MATLAB codes and how to obtain a single look complex (SLC) image for further applications. 5. Includes several applications of airborne circularly polarized SAR from international leading experts. This book is beneficial to professionals, researchers, academics, and graduate students from disciplines such as Electronic Engineering; Radar Systems; Aerospace Engineering; Signal Processing; Image Processing; Environmental Remote Sensing.

Adjustment Models in 3D Geomatics and Computational Geophysics: With MATLAB Examples, Volume Four introduces a complete package of theoretical and practical subjects in adjustment computations relating to Geomatics and geophysical applications, particularly photogrammetry, surveying, remote sensing, GIS, cartography, and geodesy. Supported by illustrating figures and solved examples with MATLAB codes, the book provides clear methods for processing 3D data for accurate and reliable results. Problems cover free net adjustment, adjustment with constraints, blunder detection, RANSAC, robust estimation, error propagation, 3D co-registration, image pose determination, and more.

This is the first authored English book completely focused on global navigation satellite system reflectometry (GNSS-R). It consists of two main parts: the fundamental theory; and major applications, which include ocean altimetry, sea surface wind speed retrieval, snow depth measurement, soil moisture measurement, tsunami detection and sea ice detection. Striking a healthy balance between theory and practice, and featuring in-depth studies and extensive experimental results, the book introduces beginners to the fundamentals, while preparing experienced researchers to pursue advanced investigations and applications in GNSS-R.

This book focuses on monitoring and assessing various environmental processes in Tunisia using state-of-the-art remote sensing and GIS technologies. In addition to addressing the diversity of Tunisian landscapes and providing spatial analysis of natural, cultivated and urbanized environments. It presents and discusses several case studies on integrated RS / GIS approaches for mapping, modeling, monitoring and evaluation. Moreover, in this volume authored by experts in the topic from Tunisia and other countries, authors assess the agro-environmental applications from Tunisia and offer different methods and applications to environmental processes and risks including drought, degradation, flood, planning, Yield estimation, dust storm detection, dry land vulnerability, wetland dynamics and others. The material presented here will help decision-makers plan sustainable landscape and agricultural management policies that preserve biodiversity and contribute to achieving sustainability goals and for researchers, it will expose methodological approaches used in different fields of research. Graduate students and Practionioner engineers working in the field of RS/GIS will also benefit from the book. The book ends with a set of conclusions and recommendations to support researchers underscoring the need for further research in this area.

When we look at some of the most pressing issues in environmental politics today, it is hard to avoid data technologies. Big data, artificial intelligence, and data dashboards all promise "revolutionary" advances in the speed and scale at which governments, corporations, conservationists, and even individuals can respond to environmental challenges. By bringing together scholars from geography, anthropology, science and technology studies, and ecology, The Nature of Data explores how the digital realm is a significant site in which environmental politics are waged. This collection as a whole makes the argument that we cannot fully understand the current conjuncture in critical, global environmental politics without understanding the role of data platforms, devices, standards, and institutions. In particular, The Nature of Data addresses the contested practices of making and maintaining data infrastructure, the imaginaries produced by data infrastructures, the relations between state and civil society that data infrastructure reworks, and the conditions under which technology can further socio-ecological justice instead of re-entrenching state and capitalist power. This innovative volume presents some of the first research in this new but rapidly growing subfield that addresses the role of data infrastructures in critical environmental politics.

The book introduces two domains namely Remote Sensing and Digital Image Processing. It discusses remote sensing, texture, classifiers, and procedures for performing the texture-based segmentation and land cover classification. The first chapter discusses the important terminologies in remote sensing, basics of land cover classification, types of remotely sensed images and their characteristics. The second chapter introduces the texture and a detailed literature survey citing papers related to texture analysis and image processing. The third chapter describes basic texture models for gray level images and multivariate texture models for color or remotely sensed images with relevant Matlab source codes. The fourth chapter focuses on texture-based classification and texture-based segmentation. The Matlab source codes for performing supervised texture based segmentation using basic texture models and minimum distance classifier are listed. The fifth chapter describes supervised and unsupervised classifiers. The experimental results obtained using a basic texture model (Uniform Local Binary Pattern) with the classifiers described earlier are discussed through the relevant Matlab source codes. The sixth chapter describes land cover classification procedure using multivariate (statistical and spectral) texture models and minimum distance classifier with Matlab source codes. A few performance metrics are also explained. The seventh chapter explains how texture based segmentation and land cover classification are performed using the hidden Markov model with relevant Matlab source codes. The eighth chapter gives an overview of spatial data analysis and other existing land cover classification methods. The ninth chapter addresses the research issues and challenges associated with land cover classification using textural approaches. This book is useful for undergraduates in Computer Science and Civil Engineering and postgraduates who plan to do research or project work in digital image processing. The book can serve as a guide to those who narrow down their research to processing remotely sensed images. It addresses a wide range of texture models and classifiers. The book not only guides but aids the reader in implementing the concepts through the Matlab source codes listed. In short, the book will be a valuable resource for growing academicians to gain expertise in their area of specialization and students who aim at gaining in-depth knowledge through practical implementations. The exercises given under texture based segmentation (excluding land cover classification exercises) can serve as lab exercises for the undergraduate students who learn texture based image processing.