Keywords:
Environmental monitoring-India-Case studies.
;
Electronic books.
Description / Table of Contents:
This book brings together real-world case studies accurately surveyed and assessed through spatial modeling and focuses on the effectiveness of combining remote sensing, GIS, and R. The use of open source software, remote sensing, and GIS, help researchers and practitioners to better understand the phenomena and the prediction of future analyses.
Type of Medium:
Online Resource
Pages:
1 online resource (349 pages)
Edition:
1st ed.
ISBN:
9781000401462
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=6607605
DDC:
363.70630954
Language:
English
Note:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Introduction to Part I: Mapping, Monitoring, and Modeling of Land Resources -- 1.1 Introduction -- 1.2 Individual Chapters -- References -- Chapter 2 Spatio-Temporal Investigation of Mining Activity and Its Effect on Landscape Dynamics: A Geo-Spatial Study of Beejoliya Tehsil, Rajasthan (India) -- 2.1 Introduction -- 2.2 Materials and Methods -- 2.2.1 Study Area -- 2.2.2 Data Used -- 2.2.3 Methodology -- 2.3 Results and Discussion -- 2.3.1 LULC Change Assessment -- 2.3.2 LULC Gain and Losses and Prediction Modeling -- 2.3.3 NDVI Change Assessment -- 2.3.4 Elevation Profile Change Assessment -- 2.4 Conclusion -- References -- Chapter 3 Mapping Areas for Growing Pulses in Rice Fallows Using Multi-Criteria Spatial Decisions -- 3.1 Introduction -- 3.2 Materials and Methods -- 3.2.1 Study Area -- 3.2.2 Data and Methodology -- 3.2.3 Potential Areas for Identification of Pulses -- 3.2.4 Identification of Assessment Factors -- 3.2.5 Fuzzy Set Modeling -- 3.2.6 Analytical Hierarchy Process (AHP) Approach -- 3.2.7 Calculation of Suitability Index Using Multiple-Criteria Decision-Making (MCDM) -- 3.2.8 Generating Land Suitability Maps -- 3.3 Results and Discussion -- 3.4 Conclusion -- References -- Chapter 4 Assessing Desertification Using Long-Term MODIS and Rainfall Data in Himachal Pradesh (India) -- 4.1 Introduction -- 4.2 Study Area -- 4.3 Materials and Methods -- 4.3.1 Methodology -- 4.3.2 MODIS NDVI Analysis -- 4.3.3 RUE -- 4.3.4 Residual Image -- 4.3.5 Statistical Significance Test -- 4.3.6 Significance Level -- 4.4 Results and Discussion -- 4.4.1 Relationship between NDVI and Rainfall -- 4.4.2 RUE -- 4.4.3 RUE Trend -- 4.4.4 Residual Trend and Human-Induced Desertification.
,
4.4.5 Regression Slope between Residual NDVI and Time (Year) -- 4.4.6 Comparison between RUE and RESTREND -- 4.5 Conclusions -- 4.6 Scope for Further Research -- Bibliography -- Chapter 5 Land Use/Land Cover Characteristics of Odisha Coastal Zone: A Retrospective Analysis during the Period between 1990 and 2017 -- 5.1 Introduction -- 5.2 Study Area -- 5.3 Data Used -- 5.4 Methodology -- 5.4.1 Pre-processing of Satellite Image -- 5.4.2 Land Use Land Cover (LULC) Map Preparation -- 5.4.3 Land Use/Land Cover Change Analysis -- 5.4.4 Accuracy Assessment -- 5.4.5 Estimation of Resource Degradation -- 5.5 Results -- 5.5.1 Spatio-temporal Distribution of LULC Categories -- 5.5.1.1 Agricultural Fallow Land -- 5.5.1.2 Cultivated Land -- 5.5.1.3 Aquaculture -- 5.5.1.4 Fallow/Open Land -- 5.5.1.5 Beach/Sand Dune (with Vegetation) -- 5.5.1.6 Industrial Built-up Area -- 5.5.1.7 Mudflat -- 5.5.1.8 Mangrove -- 5.5.1.9 Marshy Land -- 5.5.1.10 Open Vegetation -- 5.5.1.11 Rural and Urban Settlement -- 5.5.1.12 Scrub Land -- 5.5.1.13 Water Bodies (Streams/Canals/Ponds/Lakes) -- 5.5.1.14 Ocean -- 5.5.2 Estimation of Land Degradation Characteristics -- 5.6 Discussion -- 5.7 Conclusion -- Acknowledgments -- References -- Chapter 6 Evaluating Landscape Dynamics in Jamunia Watershed, Jharkhand (India) Using Earth Observation Datasets -- 6.1 Introduction -- 6.2 Materials and Methods -- 6.2.1 Study Area -- 6.2.2 Data Processing -- 6.2.3 LULC Classification -- 6.2.4 Landscape Metrics Analysis -- 6.3 Results and Discussion -- 6.3.1 Classification and Accuracy Assessment of LULC Images -- 6.3.2 Fragmentation Analyses -- 6.4 Summary and Conclusions -- References -- Chapter 7 Drought Frequency and Soil Erosion Problems in Puruliya District of West Bengal, India: A Geo-Environmental Study -- 7.1 Introduction -- 7.2 Role of Open Source Software Packages -- 7.2.1 SAGA -- 7.2.2 QGIS.
,
7.2.3 GRASS GIS -- 7.2.4 Integrated Land and Water Information System (ILWIS) -- 7.2.5 Others -- 7.3 Materials and Methods -- 7.3.1 Study Area -- 7.3.2 Methodology -- 7.3.2.1 Assessment and Monitoring of Vegetative Drought -- 7.3.2.2 Modeling Soil Erosion: -- 7.4 Results and Discussion -- 7.4.1 Spatio-Temporal Severity of Drought -- 7.4.2 Threat of Soil Erosion -- 7.5 Conclusion -- Acknowledgment -- References -- Chapter 8 Effects of Cyclone Fani on the Urban Landscape Characteristics of Puri Town, India: A Geospatial Study Using Free and Open Source Software -- 8.1 Introduction -- 8.2 Materials and Methods -- 8.2.1 Study Area -- 8.2.2 Data Source -- 8.2.3 Image Processing -- 8.2.4 LULC Classification -- 8.2.5 Normalized Difference Vegetation Index (NDVI) based assessment -- 8.2.6 Community Perception-Based Vegetation Appraisal -- 8.2.7 Change Detection Analysis -- 8.3 Results and Discussion -- 8.3.1 Land Use and Land Cover Pattern of Puri Town -- 8.3.2 Pre-Fani Vegetation Scenario -- 8.3.3 Post-Fani Vegetation Scenario -- 8.3.4 Cyclone-Induced Changes in Vegetation Cover -- 8.3.5 Community-Formulated Plantation Guidelines -- 8.4 Conclusions -- Acknowledgments -- References -- Chapter 9 Land Resource Mapping and Monitoring: Advances of Open Source Geospatial Data and Techniques -- 9.1 Introduction -- 9.2 Combinatorial Innovation in Sustainable Land Management -- 9.3 Big (Geo) Data -- 9.3.1 Coarse Resolution Satellite Data (> -- 100 m Pixel Size) -- 9.3.2 Medium Resolution Satellite Data (10-99 m Pixel Size) -- 9.3.3 High Resolution Satellite Data (< -- 10 m Pixel Size) -- 9.4 Web Search Engine for Free Access Remote Sensing Data -- 9.4.1 Open Source Vector Data -- 9.5 Open Source Software for Land Resource Mapping and Monitoring -- 9.6 Crowdsource Platform -- 9.7 High-Quality Ground Truth and Land Use Management -- 9.8 Cloud Computing.
,
9.9 Conclusion -- References -- Chapter 10 Introduction to Part II: Mapping, Monitoring, and Modeling of Water Resources -- 10.1 Introduction -- 10.2 Individual Chapters -- References -- Chapter 11 Improving Wetland Mapping Techniques Using the Integration of Image Fusion Techniques and Artificial Neural Network (ANN) -- 11.1 Introduction -- 11.2 Study Area -- 11.3 Materials and Methodology -- 11.3.1 Materials -- 11.3.2 Methods for Image Fusion -- 11.3.3 Methods for Evaluating the Performances of Image Fusion Techniques -- 11.3.4 Artificial Neural Network for Wetlands Mapping -- 11.3.5 Validation of Wetland Maps -- 11.3.6 Comparisons of Wetland Mapping Models -- 11.3.6.1 Kendall Correlation -- 11.3.6.2 Spearman's Correlation -- 11.4 Results and Discussion -- 11.4.1 Analysis of Image Fusion Techniques -- 11.4.2 Evaluation of the Image Fusion Techniques -- 11.4.3 Wetland Mapping Using Artificial Neural Network -- 11.4.4 Validation of the Wetland Modeling Models -- 11.4.5 Comparison of the Association among Wetland Modeling Models -- 11.5 Conclusion -- Acknowledgments -- Conflict of Interest -- References -- Chapter 12 Open Source Geospatial Technologies for Generation of Water Resource Development Plan -- 12.1 Introduction -- 12.2 Study Area -- 12.3 Data Used -- 12.4 Methodology -- 12.4.1 WRDP Generation Using Open Source Desktop GIS -- 12.4.2 WRDP Generation Using Web-Enabled Open Source GIS -- 12.4.2.1 Creation of Database and Web Services -- 12.4.2.2 Development of Customized Web GIS Application for WRDP Generation -- 12.5 Results and Discussion -- 12.5.1 Desktop Interface -- 12.5.2 Web Interface -- 12.6 Conclusions -- Acknowledgments -- References -- Chapter 13 Geo-Spatial Enabled Water Resource Development Plan for Decentralized Planning in India: Myths and Facts -- 13.1 Introduction -- 13.1.1 Water Resource Development Program in India.
,
13.2 Materials and Methods -- 13.2.1 Extent and Size of Water Resource Development Plans -- 13.2.2 Effect of Scale on Water Resource Development Plan -- 13.2.2.1 Study Area -- 13.2.2.2 Remote Sensing/GIS Data Used -- 13.2.2.3 Remote Sensing / GIS Software Used -- 13.2.2.4 Process Flow for Image Analysis -- 13.3 Results and Discussion -- 13.3.1 Generation of Thematic Map -- 13.3.2 Slope -- 13.3.3 Land Capability -- 13.3.4 Erosion -- 13.3.5 Soil Depth -- 13.3.6 Drainage -- 13.3.7 Land Use/Land Cover -- 13.3.7.1 Land Evaluation and Land Use Plan -- 13.3.8 Water Resource Action Plan Generation -- 13.3.9 Weighted Overlay Techniques -- 13.3.10 Resource Conservation Practices in India -- 13.3.10.1 Water and Soil Conservation Activities in Maharashtra State -- 13.4 Conclusion -- 13.4.1 Effect of Water Resources on the Community -- References -- Chapter 14 Automatic Extraction of Surface Waterbodies of Bilaspur District, Chhattisgarh (India) -- 14.1 Introduction -- 14.2 Study Area -- 14.3 Methods -- 14.3.1 Spectral Water Indexes -- 14.3.2 Normalized Difference Water Index (NDWI) -- 14.3.3 Modified Difference Water Index (MNDWI) -- 14.3.4 Water Ratio Index (WRI) -- 14.3.5 Automated Water Extraction Index (AWEI) -- 14.3.6 Accuracy Assessment -- 14.3.7 Correlation Analysis And Evaluation -- 14.4 Results and Discussion -- 14.5 Conclusion -- References -- Chapter 15 Valuing Ecosystem Services for the Protection of Coastal Wetlands Using Benefit Transfer Approach: Evidence from Bangladesh -- 15.1 Introduction -- 15.2 Materials and Methods -- 15.2.1 Study Area -- 15.2.2 Methodology -- 15.2.3 Land Use Land Cover Classification -- 15.2.4 Ecosystem Services Value (ESV) Estimation -- 15.2.5 Spatial Analysis of ESV Flow -- 15.2.6 Sensitivity Factor -- 15.3 Results -- 15.3.1 Land Cover Classes in the Study Area -- 15.3.2 Estimation of Total ESV.
,
15.3.3 Estimation of Ecosystem Function Value (ESVf).
Permalink
