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  • 1
    Online Resource
    Online Resource
    Polarization Remote Sensing Physics (2020)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Atmospheric science. ; Environment. ; Physics. ; Geographical Information System. ; Atmospheric Science. ; Environmental Sciences. ; Applied and Technical Physics.
    Description / Table of Contents: Physical rationale of polarized remote sensing -- Remote sensing of ground objects 1: physical characteristics of multi-angle polarized reflectance -- Remote sensing of ground objects 2: multispectral chemical characteristics of surface polarization reflection -- Remote sensing of ground objects 3: Surface roughness and density structure of polarization reflectance -- Remote sensing of land surfaces 4: Signal-to-background high contrast ratio filtering of polarimetric reflections -- Remote sensing of land surfaces 5: Characteristics of radiative transfer on surface polarization -- Atmospheric remote sensing 1: the nature and physical characteristics of the full-sky polarization pattern -- Atmospheric remote sensing 2: Neutral point areas of atmospheric polarization and land-atmosphere parameter separation -- Atmospheric remote sensing 3: atmospheric polarization characteristics and multi-angular three-dimensional chromatography -- New areas in polarization 1: bionic polarization for automatic navigation using the Earth’s polarization vector field -- New areas in polarization 2: remote sensing for advanced space exploration and global change research.
    Abstract: This book elaborates on the physical principles of polarization remote sensing. It explains the reflective characteristics of surface objects and atmosphere separately, including theory, experiment, instrument and application. In addition, it introduces how polarization remote sensing works in advanced research programs as it can be used in aviation, astronomy, disaster risk prevention and navigation fields. This book serves as a fundamental and comprehensive reference for researchers and students.
    Type of Medium: Online Resource
    Pages: XXVII, 337 p. 305 illus., 196 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789811528866
    Series Statement: Springer Remote Sensing/Photogrammetry,
    URL: https://doi.org/10.1007/978-981-15-2886-6
    DOI: 10.1007/978-981-15-2886-6
    DDC: 910.285
    Language: English
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  • 2
    Online Resource
    Online Resource
    Patterns in Past Settlements: Geospatial Analysis of Imprints of Cultural Heritage on Landscapes (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Geography. ; Cultural property. ; Archaeology. ; Geographical Information System. ; Regional Geography. ; Archaeology and Heritage.
    Description / Table of Contents: Landscape archaeology: role of remote sensing and GIS -- Landscape morphology and spatial patterning of archaeological signatures when viewed from above -- The science and technology of remote sensing in context of archaeology -- GIS: an array of exceptional tools for archaeology -- RS and GIS for preservation, conservation and management.
    Abstract: This book is an introduction to a new branch of archaeology that scrutinises landscapes to find evidence of past human activity. Such evidence can be hard to detect at ground-level, but may be visible in remote sensing (RS) imagery from aerial platforms and satellites. Drawing on examples from around the world as well as from her own research work on archaeological sites in India (including Nalanda, Agra, Srirangapatna, Talakadu, and Mahabalipuram), the author presents a systematic process for integrating this information with historical spatial records such as old maps, paintings, and field surveys using Geographic Information Systems (GIS) to gain new insights into our past. Further, the book highlights several instances where these insights are actionable -- they have been used to identify, understand, conserve, and protect the fragile remnants of our past. This book will be of particular interest not only to researchers in archaeology, history, art history, and allied fields, but to governmental and non-governmental professionals working in cultural heritage protection and conservation.
    Type of Medium: Online Resource
    Pages: XXIII, 168 p. 86 illus., 81 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811574665
    Series Statement: Springer Remote Sensing/Photogrammetry,
    URL: https://doi.org/10.1007/978-981-15-7466-5
    DOI: 10.1007/978-981-15-7466-5
    DDC: 910.285
    Language: English
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  • 3
    Online Resource
    Online Resource
    Theory and Practice of GNSS Reflectometry (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Telecommunication. ; Oceanography. ; Signal processing. ; Aerospace engineering. ; Astronautics. ; Geographical Information System. ; Communications Engineering, Networks. ; Ocean Sciences. ; Signal, Speech and Image Processing . ; Aerospace Technology and Astronautics.
    Description / Table of Contents: Introduction -- GNSS Signal -- Multipath Propagation -- Modeling and Simulation of GNSS Multipath Signals -- GNSS-R Receiver -- Data Processing for GNSS Reflectometry -- Wind Speed and Direction Retrieval -- Sea Surface Altimetry and Wave Height Estimation -- Sea Ice Detection -- Tsunami Detection and Parameter Estimation -- Snow Depth and Snow Water Equivalent Estimation -- Soil Moisture Retrieval.
    Abstract: 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. .
    Type of Medium: Online Resource
    Pages: XI, 369 p. 257 illus., 244 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811604119
    Series Statement: Navigation: Science and Technology, 9
    URL: https://doi.org/10.1007/978-981-16-0411-9
    DOI: 10.1007/978-981-16-0411-9
    DDC: 910.285
    Language: English
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  • 4
    Online Resource
    Online Resource
    A New GeoComputation Pattern and Its Application in Dual-Evaluation (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Image processing Digital techniques. ; Computer vision. ; Geography. ; Geographical Information System. ; Computer Imaging, Vision, Pattern Recognition and Graphics. ; Geography.
    Description / Table of Contents: Foreword -- Preface -- Part I The Theory of a New GC Pattern -- Research background -- Relevant Research -- The New GC Pattern -- GeoComputation Language -- Part II The Practice of the New GC Pattern -- Implementation of G language -- Dual evaluation system of Territorial and Spatial planning -- Part III The Dual-evaluation geocomputation model -- Individual Evaluation -- Integrated Evaluation -- Optional Evaluations -- Comparative Analysis -- Map Analysis -- Appendix Layer Style of Thematic Map.
    Abstract: This book introduces Document As System (DAS), a new GeoComputation pattern, which is also a new GIS application pattern. It uses the GeoComputation language (G language) to describe and execute complex spatial analysis model in the MS Word environment, which solves the bottleneck problem of GIS application, makes GIS become a popular tool for spatial data analysis from the spatial data visualization tool, and plays an important role in the wide application of GIS technology. This book systematically introduces the theory related to the new GeoComputation pattern and the application example in the “dual-evaluation” of territorial and spatial planning, which can be used as a learning and reference manual for GIS related professionals and business personnel engaged in the “dual-evaluation” of territorial and spatial planning.
    Type of Medium: Online Resource
    Pages: XIX, 277 p. 155 illus., 82 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789813364325
    URL: https://doi.org/10.1007/978-981-33-6432-5
    DOI: 10.1007/978-981-33-6432-5
    DDC: 910.285
    Language: English
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  • 5
    Online Resource
    Online Resource
    Geospatial Data Science in Healthcare for Society 5.0 (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Quantitative research. ; Artificial intelligence. ; Medical care. ; Geographical Information System. ; Data Analysis and Big Data. ; Artificial Intelligence. ; Health Care.
    Description / Table of Contents: Potential of Geospatial Data in Healthcare for Society 5.0 -- Geospatial Health Data Analytics for Society 5.0 -- Relevance of spatio-temporal data visualisation techniques in healthcare system -- GIS and Remote Sensing for public health -- Infectious diseases and their tracking in GIS.
    Abstract: The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
    Type of Medium: Online Resource
    Pages: VIII, 318 p. 116 illus., 73 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811694769
    Series Statement: Disruptive Technologies and Digital Transformations for Society 5.0,
    URL: https://doi.org/10.1007/978-981-16-9476-9
    DOI: 10.1007/978-981-16-9476-9
    DDC: 910.285
    Language: English
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  • 6
    Online Resource
    Online Resource
    Remote Sensing of Urban Green Space (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Sustainability. ; Environmental monitoring. ; Geography. ; Geographical Information System. ; Sustainability. ; Environmental Monitoring. ; Regional Geography.
    Description / Table of Contents: Introduction -- Remote Sensing Data Preprocessing Technology -- Remote Sensing Extraction Technology of Urban Vegetation Information -- Measurement Technology of Two-Dimensional Urban Green Space -- Measurement Technology of Three-Dimensional Urban Green Space -- Construction Technology of Multi-Scale Perception Model of Urban Green Space -- Evaluation Technology of Remote Sensing in Urban Green Space.
    Abstract: This book presents a systematic study of urban green space remote sensing from multi-dimensional and multi-scale technologies. On the basis of introducing the connotation, science and application value of urban green space, this book focuses on the two-dimensional and three-dimensional information extraction technology of urban vegetation, two-dimensional and three-dimensional measurement technology of urban green space and multi-scale perception technology and discusses the remote sensing evaluation method of urban green space. By exploring the technical advantages of ‘satellite remote sensing + aerial remote sensing + near-ground remote sensing’, urban green space remote sensing promotes the development of urban vegetation research from two-dimensional to three-dimensional observation, so that the quantity, quality and human perception of urban vegetation can be measured. In each chapter, an individual technology/method is introduced, and several cases are cited to demonstrate its practical application. This book offers a valuable reference guide for practitioners in urban planning, landscape greening, environmental protection and urban management, as well as teachers and graduate students engaged in urban remote sensing research.
    Type of Medium: Online Resource
    Pages: XVI, 240 p. 164 illus., 133 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819907038
    URL: https://doi.org/10.1007/978-981-99-0703-8
    DOI: 10.1007/978-981-99-0703-8
    DDC: 910.285
    Language: English
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  • 7
    Online Resource
    Online Resource
    Earth Data Analytics for Planetary Health (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Environmental health. ; Public health. ; Sustainability. ; Geographical Information System. ; Environmental Health. ; Public Health. ; Sustainability.
    Description / Table of Contents: Topic 1. Environmental Quality Monitoring -- Chap1: Applications of Remote Sensing for Air Pollution Monitoring in Thailand: An Early Warning for Public Health -- Chap2: A novel evaluation of air pollution impact from stationary emission sources to ambient air quality via time-series Granger causality -- Chap3: Groundwater Recharge, Monitoring and Finding Suitable Areas for Groundwater Recharge in Northeast Thailand -- Topic 2. Environmental Changes and Health -- Chap4: Health benefits of air pollution reduction during the COVID-19 lockdown period in Thailand using a machine learning algorithm -- Chap5: Satellite-Derived Vegetation Indices as A Criterion for Assessing Green Exposure that is Related to Human Health Burdens -- Chap6: Five common myths about land use change and infectious disease -- Topic 3. Data and Methodological Issues for Health Studies -- Chap7: Geospatial Environmental Data for Planetary Health Applications -- Chap8: Delineating zones of disease diffusion from the amenity-sharing network in Peninsular Malaysia -- Chap9: Approaches for spatial and temporal-spatial clustering analysis in avian influenza outbreaks -- Chap10: Detecting urban form using remote sensing: spatiotemporal research gaps for sustainable environment and human health.
    Abstract: Planetary health involves complex spatial–temporal interactions among agents, hosts, and earth environment. Due to rapid technical development of geomatics, including geographic information systems (GIS) and remote sensing (RS) in the era of big data analytics, therefore, earth data analytics has become one of the important approaches for monitoring earth surface process and measuring of the effects of environment changes on all humans and other living organisms on earth. Various methods in earth data analytics, including spatial–temporal statistics, spatial evolutionary algorithms, remote sensing image analysis, wireless geo-sensors, and location-based analytics, are an emerging discipline in understanding complex interactions in planetary health. This edited book provides a broad focus on methodological theories of earth data analytics and their applications to measuring the process of planetary health, with the goal to build scientific understanding on how geospatial analytics can provide valuable insights in measuring environmental risks in Southeast Asian regions. It is collection of selected papers covering both theoretical and empirical studies focusing on topics relevant to spatial perspectives on planetary health and environmental exposure studies. The book is written for senior undergraduates, graduate students, lecturers, and researchers in applications of geospatial technologies for public health and environmental studies.
    Type of Medium: Online Resource
    Pages: IX, 217 p. 60 illus., 47 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811987656
    Series Statement: Atmosphere, Earth, Ocean & Space,
    URL: https://doi.org/10.1007/978-981-19-8765-6
    DOI: 10.1007/978-981-19-8765-6
    DDC: 910.285
    Language: English
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  • 8
    Online Resource
    Online Resource
    Remote Sensing Intelligent Interpretation for Mine Geological Environment : From Land Use and Land Cover Perspective (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Machine learning. ; Signal processing. ; Geology. ; Environmental monitoring. ; Geographical Information System. ; Machine Learning. ; Signal, Speech and Image Processing . ; Geology. ; Environmental Monitoring.
    Description / Table of Contents: Preface.-Mine geological environment: An overview.-Multimodal remote sensing science and technology.-Deep learning technology for remote sensing intelligent interpretation.-Remote sensing interpretation signs of mine land occupation type -- Mine remote sensing dataset construction for multi-level tasks -- Mine target detection by remote sensing and deep learning -- Mine remote sensing scene classification by deep learning -- Mine land occupation classification based on machine learning and remote sensing images -- Mine land occupation classification based on deep learning and remote sensing images -- Concluding remarks.
    Abstract: This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of “target detection→scene classification→semantic segmentation." Taking China’s Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
    Type of Medium: Online Resource
    Pages: XII, 246 p. 110 illus., 89 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811937392
    URL: https://doi.org/10.1007/978-981-19-3739-2
    DOI: 10.1007/978-981-19-3739-2
    DDC: 910.285
    Language: English
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  • 9
    Online Resource
    Online Resource
    Temporal and Spatial Environmental Impact of the COVID-19 Pandemic (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Natural disasters. ; Environmental sciences Social aspects. ; Atmospheric science. ; Geographical Information System. ; Natural Hazards. ; Environmental Social Sciences. ; Atmospheric Science.
    Description / Table of Contents: Overview Of Geospatial Science And Technology -- Geospatial Appraisal Of Vegetation Health And Air Quality Of Delhi During Pre And Post Lockdown Phase Through Multi-Criteria Decision Model -- Pandemic Effect Of Covid-19: Identification, Present Scenario And Preventive Measures -- Impact Of Lockdown (Covid-19) On Air Pollution In India -- Impact Of Covid-19 Pandemic On Environmental Awareness: A Case Study Of Hyderabad City -- Examination Of Radiation Distribution And Its Relation With Stress Degree Day Index In Some Crops Of Yamne River Catchment In Arunachal Pradesh During Pre And Post Covid Times -- Covid 19 And Its Impact On Urban Health Care System -- Impact Of Covid-19 Pandemic On Education Sector Of Kashmir Valley Its Challenges And Future Prospects -- A Study On Socio-Economic Impact Of Covid 19 Pandemic On Tour Operators Of Vishakhapatnam City, Andhra Pradesh -- A Study On Problems Faced By The Street Vendors In Hyderabad City Post Covid-19 Pandemic.
    Abstract: This book identifies, evaluates and reports the impacts of the COVID-19 pandemic on the physical, biological and socioeconomic environment, using the science and technology of geoinformatics. It encourages the environmental considerations in the future city and policy planning and decision-making. For example, according to the World Health Organization, 80% of people living in cities are exposed to polluted air that exceeds healthy levels. City planners have applied the developing concepts of sustainability to modern debates over how cities and regions should be reviewed, regenerated and reformed since the introduction of the concept in developmental science. During the COVID-19 pandemic, a remarkable drop in air pollution has been observed in India and other countries, which has accelerated the shift to green and sustainable development. Geoinformatics can provide solutions and resources for local, sustainable activities in education, health, sustainable agriculture, resource management and related fields. This book serves researchers in a variety of areas, including hazards, land surveys, remote sensing, cartography, geophysics, geology, natural resources, environment and geography.
    Type of Medium: Online Resource
    Pages: X, 155 p. 68 illus., 67 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819919345
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-99-1934-5
    DOI: 10.1007/978-981-99-1934-5
    DDC: 910.285
    Language: English
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  • 10
    Online Resource
    Online Resource
    Spatial Observation of Giant Panda Habitat : Techniques and Methods (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Human ecology Study and teaching. ; Environment. ; Geographical Information System. ; Environmental Studies. ; Environmental Sciences.
    Description / Table of Contents: Chapter 1. Natural heritage sites and space observation -- Chapter 2. Space monitoring technology and method of natural heritage sites -- Chapter 3. Technology and method of fine information extraction of animal habitat elements -- Chapter 4. Analysis of changes of key environmental parameters of land surface characteristics of giant panda habitat -- Chapter 5. Spatial observation and assessment of ecological environment change of giant panda habitat -- Chapter 6. The evaluation model of long-term monitoring and restoration of ecological environment by remote sensing after earthquake -- Chapter 7. Fine-Scale Evaluation of Giant Panda Habitats and Countermeasures against the Future Impacts of Climate Change -- Chapter 8. Suggestions for sustainable development of giant panda habitat.
    Abstract: This book evaluates the past, present, and future habitat suitability of giant pandas based on spatial observation technology involving optical remote sensing, microwave remote sensing, and LiDAR to discover the mysterious ecological environment of giant panda habitat. Considering the problems faced by the world natural heritage site protection, it takes the world natural heritage site “Sichuan Giant Panda Sanctuaries – Wolong, Mt Siguniang and Jiajin Mountains” as the research area, exemplifies systematically the various techniques and methodologies of spatial information technology for monitoring, evaluation, and prediction of rare and endangered species habitats, and provides scientific suggestions for sustainable development of giant panda habitat based on a series of comprehensive case analysis at Wolong national nature reserve and Ya'an prefecture, Sichuan province, China. The book serves both as a textbook in the field of natural heritage protection, remote sensing, and GIS application, as well as a reference for managing natural heritage sites.
    Type of Medium: Online Resource
    Pages: XVII, 378 p. 167 illus., 106 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811987946
    URL: https://doi.org/10.1007/978-981-19-8794-6
    DOI: 10.1007/978-981-19-8794-6
    DDC: 910.285
    Language: English
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  • 11
    Online Resource
    Online Resource
    New Thinking in GIScience (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Artificial intelligence. ; Machine learning. ; Geographical Information System. ; Artificial Intelligence. ; Machine Learning.
    Description / Table of Contents: From Representation to Geocomputation: Some Theoretical Accounts of Geographic Information Science -- On Holo-Spatial Information System -- The Virtual Geographic Environment—More than the Digital Twin of the Physical Geographical Environments -- Big Remote Sensing Data as Curves -- GIScience from the Viewpoint of Information Science -- Towards Place-based GIS -- The Bottom-up Approach and De-mapping Direction of GIS -- The Geography of Geography -- Classification and Description of Geographic Information: a Comprehensive Expression Framework -- On the Third Law of Geography -- Human Mobility and the Neighborhood Effect Averaging Problem (NEAP) -- How to Form and Answer the So What Question in GIScience -- Prospects on Causal Inferences in GIS -- Bayesian Methods for Geospatial Data Analysis.
    Abstract: This book is a collection of seminal position essays by leading researchers on new development in Geographic Information Sciences (GIScience), covering a wide range of topics and representing a variety of perspectives. The authors propose enrichments and extensions to the conceptual framework of GIScience; discuss a series of transformational methodologies and technologies for analysis and modeling; elaborate on key issues in innovative approaches to data acquisition and integration, across earth sensing to social sensing; and outline frontiers in application domains, spanning from natural science to humanities and social science, e.g., urban science, land use and planning, social governance, transportation, crime, and public health, just name a few. The book provides an overview of the strategic directions on GIScience research and development. It will benefit researchers and practitioners in the field who are seeking a high-level reference regarding those directions.
    Type of Medium: Online Resource
    Pages: X, 381 p. 69 illus., 54 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811938160
    URL: https://doi.org/10.1007/978-981-19-3816-0
    DOI: 10.1007/978-981-19-3816-0
    DDC: 910.285
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  • 12
    Online Resource
    Online Resource
    Environmental Remote Sensing in Flooding Areas : A Case Study of Ayutthaya, Thailand (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Environmental monitoring. ; Environmental health. ; Epidemiology. ; Geographical Information System. ; Environmental Monitoring. ; Environmental Health. ; Epidemiology.
    Description / Table of Contents: Geographical characteristics of Study area -- Datasets and data preparation -- Flooding identification by vegetation index -- Flood identification by Support Vector Machine (SVM) -- Improved support vector machine classifier by Particle filter algorithm -- Flood related parameters affecting waterborne diseases -- Measure of Disease Risk -- Modeling Outbreak Risk based on Back Propagation Neural Network (BPNN) algorithm -- Application of surveillance communicable diseases risk using Expert system -- Conclusions.
    Abstract: This book introduces flood inundation area and flood risks assessment based on a comprehensive monitoring system using remote sensing and geographic information system technologies. Taking the 2011 flood disaster of Ayutthaya in Thailand as an example, it presents a flood intrusion zone identification method based on remote sensing technology, spatial information technology and geographic information system for flood disaster monitoring and early warning system. It introduces the study area and data, vegetation index, improved support vector machine and flood intrusion zone identification method. It also analyzes the flood remote sensing parameters and waterborne diseases, method of risk assessment of waterborne disease outbreak, waterborne disease outbreak risk monitoring based on backpropagation neural network and its expert system. It not only promotes a new interdisciplinary approach both in public health and space information technology, but also greatly supports decision makers in disaster reduction.
    Type of Medium: Online Resource
    Pages: XI, 148 p. 55 illus., 38 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811582028
    URL: https://doi.org/10.1007/978-981-15-8202-8
    DOI: 10.1007/978-981-15-8202-8
    DDC: 910.285
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  • 13
    Online Resource
    Online Resource
    The Geography and Remote Sensing Analysis of Sri Lanka (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Physical geography. ; Environmental monitoring. ; Geographical Information System. ; Physical Geography. ; Environmental Monitoring.
    Description / Table of Contents: Introduction -- The location of Sri Lanka in "One Belt And One Road -- National Geography -- Remote Sensing Analysis of Resources and Environment -- Remote Sensing Analysis of Socioeconomic Development.
    Abstract: This book presents a survey, dynamic monitoring and comprehensive analysis of Sri Lanka’s land, vegetation, surface water, ocean and other environmental resources, as well as its economic, transportation, urban, agricultural and tourism development. It offers readers accurate, systematic and comprehensive information on Sri Lanka’s ecological setting and socio-economic development. It also sheds light on policies for the protection of the environment and biodiversity.
    Type of Medium: Online Resource
    Pages: XIII, 263 p. 314 illus., 312 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789813346277
    URL: https://doi.org/10.1007/978-981-33-4627-7
    DOI: 10.1007/978-981-33-4627-7
    DDC: 910.285
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  • 14
    Online Resource
    Online Resource
    High Accuracy Surface Modeling Method: The Robustness (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Climatology. ; Planetary science. ; Bioclimatology. ; Geographical Information System. ; Climate Sciences. ; Planetary Science. ; Climate Change Ecology.
    Description / Table of Contents: Chapter1 Research Process of the surface modeling method -- Chapter 2 Modern method of high accuracy surface modeling -- Chapter 3 Sensitivity analysis of HASM -- Chapter 4 Effect of sampling information on HASM -- Chapter 5 Efficient computation methods for HASM -- Chapter 6 Different implementations of HASM in simulating climate variables.
    Abstract: This book focuses on the robustness analysis of high accuracy surface modeling method (HASM) to yield good performance of it. Understanding the sensitivity and uncertainty is important in model applications. The book aims to advance an integral framework for assessing model error that can demonstrate robustness across sets of possible controls, variable definitions, standard error, algorithm structure, and functional forms. It is an essential reference to the most promising numerical models. In areas where there is less certainty about models, but also high expectations of transparency, robustness analysis should aspire to be as broad as possible. This book also contains a chapter at the end featuring applications in climate simulation illustrating different implementations of HASM in surface modeling. The book is helpful for people involved in geographical information science, ecological informatics, geography, earth observation, and planetary surface modeling.
    Type of Medium: Online Resource
    Pages: XVIII, 187 p. 108 illus., 75 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811640278
    URL: https://doi.org/10.1007/978-981-16-4027-8
    DOI: 10.1007/978-981-16-4027-8
    DDC: 910.285
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  • 15
    Online Resource
    Online Resource
    Spatially Explicit Hyperparameter Optimization for Neural Networks (2021)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Artificial intelligence. ; Environmental sciences Social aspects. ; Economic geography. ; Geographical Information System. ; Artificial Intelligence. ; Environmental Social Sciences. ; Economic Geography.
    Description / Table of Contents: Chapter 1: Introduction -- Chapter 2: Literature Review -- Chapter 3: Methodology -- Chapter 4: Study I. Hyperparameter optimization of neural network-driven spatial models accelerated using cyber-enabled high-performance computing -- Chapter 5: Study II. Spatially explicit hyperparameter optimization of neural networks accelerated using high-performance computing -- Chapter 6: Study III. An integration of spatially explicit hyperparameter optimization with convolutional neural networks-based spatial models.
    Abstract: Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.
    Type of Medium: Online Resource
    Pages: XIX, 108 p. 45 illus., 43 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9789811653995
    URL: https://doi.org/10.1007/978-981-16-5399-5
    DOI: 10.1007/978-981-16-5399-5
    DDC: 910.285
    Language: English
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  • 16
    Online Resource
    Online Resource
    Dynamic and Precise Engineering Surveying (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Surveying. ; Cartography. ; Geotechnical engineering. ; Geographical Information System. ; Surveying. ; Cartography. ; Geotechnical Engineering and Applied Earth Sciences.
    Description / Table of Contents: Introduction -- Structural state surveying for transportation infrastructure -- Dynamic surveying in autonomous driving -- Indoor and underground space measurement -- UAV 3D measurement -- Coastal zone survey -- Outlook. .
    Abstract: Driven by the increasingly expanding needs of infrastructure construction, operation and maintenance, as well as the rapid developments of intelligent sensing and information technology, precise engineering surveying has been transformed from static, discrete, and manual into dynamic, continuous, and intelligent ways. This transformation leads to an advanced multidisciplinary field, dynamic and precise engineering surveying, on which the author has worked for over two decades. This book systematically summarizes the fundamentals, methods, and applications in dynamic and precise engineering surveying. The contents mainly include two parts: the first part introduces principles and methods of dynamic and precise engineering surveying; the second part presents representative applications in which innovative methods and advanced equipment are applied in the construction, operation and maintenance of mega and complex infrastructures. Readers engaged in surveying and mapping, civil engineering, water conservancy engineering, railway engineering, electronic information, and computer science, including undergraduates, graduates, researchers and engineers, will find it an informative reference.
    Type of Medium: Online Resource
    Pages: XXVIII, 498 p. 394 illus., 352 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819959426
    URL: https://doi.org/10.1007/978-981-99-5942-6
    DOI: 10.1007/978-981-99-5942-6
    DDC: 910.285
    Language: English
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  • 17
    Online Resource
    Online Resource
    Manual of Digital Earth (2020)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Physical geography. ; Computer networks . ; Big data. ; Sustainability. ; Climatology. ; Geographical Information System. ; Earth System Sciences. ; Computer Communication Networks. ; Big Data. ; Sustainability. ; Climate Sciences.
    Description / Table of Contents: Understanding Digital Earth -- Part I Digital Earth Technologies -- Digital Earth Platforms -- Remote Sensing -- Satellites for Digital Earth -- Satellite Navigation for Digital Earth -- Geospatial Information Infrastructures -- Geospatial Information Processing Technologies -- Geospatial Information Visualization and Extended Reality Displays -- Transformation in Scale for Continuous Zooming -- Big Data and Cloud Computing -- Artificial Intelligence -- Internet of Things -- Social Media and Social Awareness -- Part II Digital Earth for Multi-domain Applications -- Digital Earth for Sustainable Development Goals -- Digital Earth for Climate Change Research -- Digital Earth for Disaster Mitigation Research -- Digital City: An Urban Perspective on Digital Earth -- Digital Heritage -- Citizen Science in Support of Digital Earth -- The Economic Value of Digital Earth -- Part III Digital Earth Regional & National Development -- Digital Earth in Europe -- Digital Earth in Australia -- Digital Earth in China -- Digital Earth in Russia -- Part IV Digital Earth Education and Ethics -- Digital Earth Education -- Digital Earth Ethics.
    Abstract: This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is becoming vital for acquiring, processing, analysing and mining the rapidly growing volume of global data sets about the Earth. The main aspects of Digital Earth covered here include: Digital Earth platforms, remote sensing and navigation satellites, processing and visualizing geospatial information, geospatial information infrastructures, big data and cloud computing, transformation and zooming, artificial intelligence, Internet of Things, and social media. Moreover, the book covers in detail the multi-layered/multi-faceted roles of Digital Earth in response to sustainable development goals, climate changes, and mitigating disasters, the applications of Digital Earth (such as digital city and digital heritage), the citizen science in support of Digital Earth, the economic value of Digital Earth, and so on. This book also reviews the regional and national development of Digital Earth around the world, and discusses the role and effect of education and ethics. Lastly, it concludes with a summary of the challenges and forecasts the future trends of Digital Earth. By sharing case studies and a broad range of general and scientific insights into the science and technology of Digital Earth, this book offers an essential introduction for an ever-growing international audience.
    Type of Medium: Online Resource
    Pages: XIX, 852 p. 422 illus., 255 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789813299153
    URL: https://doi.org/10.1007/978-981-32-9915-3
    DOI: 10.1007/978-981-32-9915-3
    DDC: 910.285
    Language: English
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  • 18
    Online Resource
    Online Resource
    Monitoring of Desert Locust in Africa and Asia (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Agriculture. ; Environmental sciences Social aspects. ; Geographical Information System. ; Agriculture. ; Environmental Social Sciences.
    Description / Table of Contents: Foreword -- Preface -- Chapter 1 Introduction -- Chapter 2 Desert Locust Breeding Area and Migration Path in Africa and Asia -- Chapter 3 Monitoring of Desert Locusts in East Africa -- Chpater 4 Monitoring of Desert Locusts in West and South Asia -- Chapter 5 Remote Sensing Monitoring System of Desert Locust and its Application -- References.
    Abstract: This book deals with the topic on remote sensing monitoring of desert locust in Africa and Asia. Remote sensing monitoring of the occurrence and damage of desert locust is conducted by integrating cutting-edge technologies and methods in cross-disciplinary fields in remote sensing science, geographic information science, agronomy, plant protection, agricultural meteorology, mathematics, and computer science. The main contents include spatio-temporal data analysis and processing, desert locust breeding areas monitoring, pest migration path analysis and damage monitoring. Moreover, a desert locust remote sensing monitoring system is constructed and applied in the region of Africa and Asia countries. This book not only provides technical reference for remote sensing monitoring and application of desert locust but also serves as a research reference for scholars and graduate students engaged in agricultural remote sensing, agricultural information technology, plant protection and other related field. It will help to improve remote sensing monitoring and application of desert locust.
    Type of Medium: Online Resource
    Pages: XIV, 126 p. 116 illus., 113 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811972386
    URL: https://doi.org/10.1007/978-981-19-7238-6
    DOI: 10.1007/978-981-19-7238-6
    DDC: 910.285
    Language: English
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  • 19
    Online Resource
    Online Resource
    Geographic Information Systems in Urban Planning and Management (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Geography. ; Human geography. ; Environmental sciences Social aspects. ; Geographical Information System. ; Regional Geography. ; Human Geography. ; Environmental Social Sciences.
    Description / Table of Contents: Introduction of Geographic Information System -- Referencing and Coordinate Systems in GIS -- GIS Data Models -- Data Input in GIS -- Data Visualization and Output -- Spatial Data Analysis -- Non-spatial Data Management -- Applications of GIS in Urban Policy/Planning/Management -- Monitoring and Modelling of Urban Land Use Changes -- Simulating Future Urban Growth using Cellular Automata-Markov Chain Models -- Identification of Potential Sites for Housing Development Using GIS Based Multi-Criteria Evaluation Technique -- Urban Green Space Analysis and Potential Site Selection for Green Space Expansion -- A Multi-Criteria Decision Making for Alternative Landfill Site Selections Using Fuzzy TOPSIS Approach -- Urban Flood Susceptibility Modelling of Srinagar using Novel Fuzzy Multi-Layer Perceptron Neural Network (Fuzzy MLPNN) -- Assessment, Mapping and prediction of Urban Heat Island. .
    Abstract: Geographic Information Systems (GIS) play a pivotal role in the field of urban planning and management and provide better solutions for numerous urban problems. With GIS, one has the ability to better understand existing requirements of a city and its design to fulfill those needs. This book contributes to developing scientific knowledge based on geospatial technologies among planners, researchers, scientists, professionals, students, and laymen and providing them with better understanding for urban planning and management at various levels. The book manifests the importance of GIS in better understanding of current urban challenges and provides new insights on how to apply GIS in urban planning. It also encourages the various stakeholders of society to participate in the decision-making process and assists planners and authorities to formulate suitable plans for sustainable urban growth of a region. The book is divided into two parts. The first part describes the fundamental concepts of GIS and also deals with the advanced techniques of spatial planning. The second part addresses real-world case studies using various applications of GIS. The case studies include urban land-use changes, simulation of future urban growth, urban heat island, alternate landfill site selection and urban flood susceptibility mapping, among others. This book shows how to integrate GIS with remote sensing, geostatistics, artificial intelligence-machine learning techniques, and other cutting-edge technologies. Readers find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management.
    Type of Medium: Online Resource
    Pages: XVII, 252 p. 115 illus., 51 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789811978555
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-19-7855-5
    DOI: 10.1007/978-981-19-7855-5
    DDC: 910.285
    Language: English
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  • 20
    Online Resource
    Online Resource
    Geospatial Data Analytics and Urban Applications (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Quantitative research. ; System theory. ; Public health. ; Urban economics. ; Geographical Information System. ; Data Analysis and Big Data. ; Complex Systems. ; Public Health. ; Urban Economics.
    Description / Table of Contents: Introduction: Spatial Big Data and Urban Analytics -- Preferential Home Search in Urban Settings -- Air Quality Dynamics and Urban Heat Island effects during COVID-19 -- Mass Rapid Transit and Population Dynamics during Covid-19 in Singapore -- A Geospatial analysis of Tweets during Post-Circuit Breaker in Singapore -- Space-Time Analytics of New York City Shooting Incidents -- Spatial and Temporal patterns of Tourist Source Market Emissiveness: A Study of Shanghai, China -- Spatial Perspective of Crime Patterns in Chicago amid Covid-19 -- Geospatial analysis of Grab Trips in Singapore -- Ecological Vulnerability of Nyingchi, Tibet.
    Abstract: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.
    Type of Medium: Online Resource
    Pages: XVIII, 187 p. 106 illus., 95 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811676499
    Series Statement: Advances in 21st Century Human Settlements,
    URL: https://doi.org/10.1007/978-981-16-7649-9
    DOI: 10.1007/978-981-16-7649-9
    DDC: 910.285
    Language: English
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  • 21
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    Online Resource
    Geospatial Technology for Landscape and Environmental Management : Sustainable Assessment and Planning (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Environmental management. ; Climatology. ; Natural disasters. ; Database management. ; Geographical Information System. ; Environmental Management. ; Climate Sciences. ; Natural Hazards. ; Database Management.
    Description / Table of Contents: Spatio-temporal variability of channel planform dynamics in response to spatial expansion of brick kilns: a case study of the downstream course of Ichamati River, West Bengal, India -- Assessment of replenishable groundwater resource and integrated water resource planning for sustainable agriculture -- Spatial prediction of flood frequency analysis in a semi-arid zone: A case study from the Seyad basin (Guelmim Region, Morocco) -- Geospatial modeling in the assessment of environmental resources for sustainable water resource management in a Gondia district, India -- Hydrochemical characteristics of groundwater-assessment of saltwater intrusion along Krishna Godavari Delta Region, Andhra Pradesh, India -- Micro level planning for integrated natural resources management and sustainable development: an approach through a micro watershed using geospatial technology -- Ecohydrological perspective for environmental degradation of lakes and wetlands in Delhi -- Prioritization and quantitative assessment of Dhundsir Gad using RS and GIS: implications for watershed management, planning and conservation, Garhwal Himalaya, Uttarakhand -- Assessment of groundwater potential zones and resource sustainability through Geospatial Techniques: a case study of Kamina sub-watershed of Bhima River Basin, Maharashtra, India -- Morphometric analysis of Damodar River sub-watershed, Jharkhand, India, using remote sensing and GIS techniques -- The increasing inevitability of IOT in remote disaster monitoring applications -- Countering challenges of smart cities mission through participatory approach -- Urban growth modelling and prediction of land use land cover change over Nagpur city, India using Cellular automata approach -- Slum categorization for efficient development plan - a case study of Udhampur city, J&K using Remote sensing and GIS -- Urban growth trend analysis using Shannon Entropy approach – A case study of Dehradun City of Uttarakhand, India -- Geospatial approach for mapping of significant land use / land cover changes in Andhra Pradesh -- Assessing the impact of Delhi metro network towards urbanization of Delhi-NCR -- Analysis of urban heat island effect in the Rajkot city using Geospatial Techniques -- Multi spectral remote sensing for urban planning and development -- Analysis Of urban green spaces using geospatial techniques-a case study of Vijayawada urban local body Andhra Pradesh, India -- Magnetic susceptibility and heavy metals contamination in agricultural soil of Kopargaon Area, Ahmadnagar District, Maharashtra, India.
    Abstract: Geospatial technology is a combination of state-of-the-art remote sensing and technology for geographic information systems (GIS) and global navigation satellite systems (GNSS) for the mapping and monitoring of landscapes and environment. The main thrust of using geospatial technology is to understand the causes, mechanisms, and consequences of spatial heterogeneity, while its ultimate objective is to provide a scientific basis for developing and maintaining ecologically, economically, and socially sustainable landscapes. This book presents new research on the interdisciplinary applications of geospatial technology for identification, assessment, monitoring, and modelling issues related to landscape, natural resources, and environmental management. The book specifically focuses on the creation, collection, storage, processing, modelling, interpretation, display, and dissemination of spatio-temporal data, which help to resolve environmental management issues including ecosystem change, resource utilization, land use management, and environmental pollution. The positive environmental impacts of information technology advancements with regard to global environmental and climate change are also discussed. The book addresses the interests of a wide spectrum of readers who have a common interest in geospatial science, geology, water resource management, database management, planning and policy making, and resource management.
    Type of Medium: Online Resource
    Pages: XVII, 430 p. 203 illus., 193 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811673733
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-16-7373-3
    DOI: 10.1007/978-981-16-7373-3
    DDC: 910.285
    Language: English
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  • 22
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    Online Resource
    Optical and SAR Remote Sensing of Urban Areas : A Practical Guide (2022)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Cartography. ; Human geography. ; Geographical Information System. ; Cartography. ; Human Geography.
    Description / Table of Contents: - Geospatial Machine Learning in Urban Areas: Challenges and Prospects -- Exploratory Analysis and Transformation for Remotely-Sensed Imagery -- Mapping Urban Land Cover using Multi-seasonal Sentinel-2 Imagery, Spectral and Texture Indices -- Mapping Urban Land Cover using Multi-seasonal Sentinel-1 Imagery and Texture Indices -- Improving Urban Land Cover Mapping -- Land Cover Classification Accuracy Assessment -- Appendix.
    Abstract: This book introduces remotely sensed image processing for urban areas using optical and synthetic aperture radar (SAR) data and assists students, researchers, and remote sensing practitioners who are interested in land cover mapping using such data. There are many introductory and advanced books on optical and SAR remote sensing image processing, but most of them do not serve as good practical guides. However, this book is designed as a practical guide and a hands-on workbook, where users can explore data and methods to improve their land cover mapping skills for urban areas. Although there are many freely available earth observation data, the focus is on land cover mapping using Sentinel-1 C-band SAR and Sentinel-2 data. All remotely sensed image processing and classification procedures are based on open-source software applications such QGIS and R as well as cloud-based platforms such as Google Earth Engine (GEE). The book is organized into six chapters. Chapter 1 introduces geospatial machine learning, and Chapter 2 covers exploratory image analysis and transformation. Chapters 3 and 4 focus on mapping urban land cover using multi-seasonal Sentinel-2 imagery and multi-seasonal Sentinel-1 imagery, respectively. Chapter 5 discusses mapping urban land cover using multi-seasonal Sentinel-1 and Sentinel-2 imagery as well as other derived data such as spectral and texture indices. Chapter 6 concludes the book with land cover classification accuracy assessment.
    Type of Medium: Online Resource
    Pages: XI, 119 p. 103 illus., 90 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9789811651496
    Series Statement: Springer Geography,
    URL: https://doi.org/10.1007/978-981-16-5149-6
    DOI: 10.1007/978-981-16-5149-6
    DDC: 910.285
    Language: English
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  • 23
    Online Resource
    Online Resource
    Advanced Remote Sensing for Urban and Landscape Ecology (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Cartography. ; Urban ecology (Biology). ; Human geography. ; Geographical Information System. ; Cartography. ; Urban Ecology. ; Human Geography.
    Description / Table of Contents: Data And Urban Poverty: Detecting And Characterising Slums And Deprived Urban Areas In Low-And Middle-Income Countries -- Investigation Of Ecological Sustainability Through The Landscape Approach Of Geospatial Technology: Study From New Town Project In Eastern India -- Advanced Remote Sensing For Sustainable Decent Housing For The Economically Challenged Urban Households -- Impact Of Uncontrolled Tourism Development On Landscape Ecology Of Purba Medinipur Coastal Region, West Bengal: A 4-C Framework And Swoc Analysis -- Impact Of Urban Heat Island: A Local-Level Urban Climate Phenomenon On Urban Ecology And Human Health -- Identification Of Environmental Epidemiology Through Advanced Remote Sensing Based On Ndvi -- Assessment Of Land Utilization Pattern And Their Relationship With Surface Temperature And Vegetation In Sikkim, India -- Monitoring Land Use And Land Cover Change Over Bhiwani District Using Google Earth Engine -- Image And Perception Of Royal Heritage And Eco-Space Of The Medium Towns In India: Reflection From Burdwan Royal Heritage Site -- Governance And Floodplain Extent Changes Of Yamuna River Floodplain In Megacity Delhi -- Assessing Urban Compactness Using Machine Learning And Earth Observation Datasets: A Case Study Of Kolkata City -- Analysis Of Ecological Vulnerability Behind The Land Conversion From Agriculture To Aquaculture Of Purba Medinipur District In West Bengal, India -- Environmental Change Analysis Using Remote Sensing And Gis: A Study Of Upper Baitarani Basin, Odisha -- Mapping Urban Footprint Using Machine Learning And Public Domain Datasets.
    Abstract: This book introduces the use of various remote sensing data such as microwave, hyperspectral and very high-resolution (VHR) satellite imagery; mapping techniques including pixel and object-based machine learning; and geostatistical modelling techniques including cellular automation, entropy and land fragmentation. Remote sensing plays a vital role in solving urban and environmental challenges at the landscape level. Globally, more than half of the urban population is facing severe environmental and social challenges, especially those relating to climate change, agricultural land encroachment, green infrastructure and environmental degradation, mobility due to rapid rural–urban transformation and anthropogenic interventions. Mapping and quantification of such threats at the landscape level are challenging for experts using traditional techniques; however, remote sensing technology provides diverse spatial data at a varying scale, volume and accessibility for mapping and modelling, and it also analyses challenges at urban and landscape levels. Together, they address challenges at urban and landscape levels to support the Sustainable Development Goals (SDGs).
    Type of Medium: Online Resource
    Pages: XIII, 317 p. 153 illus., 129 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819930067
    Series Statement: Advances in Geographical and Environmental Sciences,
    URL: https://doi.org/10.1007/978-981-99-3006-7
    DOI: 10.1007/978-981-99-3006-7
    DDC: 910.285
    Language: English
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