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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    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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  • 5
    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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  • 6
    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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  • 7
    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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  • 8
    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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  • 9
    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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  • 10
    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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