This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. It presents recent developments and applications specifically by utilizing new earth observation datasets such as TRMM/GPM, AMSR E/2, SMOS, SMAP and GCOM in combination with GIS, artificial intelligence, and hybrid techniques. By linking geospatial techniques with new satellite missions for earth and environmental science, the book promotes the synergistic and multidisciplinary activities of scientists and users working in the field of hydrological sciences.
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1 Introduction to Geospatial Technology for Water Resources |
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3 | (8) |
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Akhilesh Singh Raghubanshi |
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Section II Geographical Information System Based Approaches |
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2 GIS Supported Water Use Master Plan: A Planning Tool for Integrated Water Resources Management in Nepal |
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11 | (24) |
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3 Spatial Integration of Rice-based Cropping Systems for Soil and Water Quality Assessment Using Geospatial Tools and Techniques |
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35 | (18) |
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Akhilesh Singh Raghubanshi |
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4 A Geographic Information System (GIS) Based Assessment of Hydropower Potential within the Upper Indus Basin Pakistan |
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53 | (12) |
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5 Flood Risk Assessment for Kota Tinggi, Johor, Malaysia |
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65 | (13) |
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Muhammad Zulkarnain Abd Rahman |
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6 Delineation and Zonation of Flood Prone Area Using Geo-hydrological Parameters: A Case Study of Lower Ghaghara River Valley |
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78 | (23) |
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7 Geospatial Technology for Water Resource Development in WGKKC2 Watershed |
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101 | (14) |
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Section III Satellite Based Approaches |
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8 Predicting Flood-vulnerability of Areas Using Satellite Remote-sensing Images in Kumamoto City, Japan |
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115 | (15) |
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9 Validation of Hourly GSMaP and Ground Base Estimates of Precipitation for Flood Monitoring in Kumamoto, Japan |
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130 | (14) |
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10 Appraisal of Surface and Groundwater of the Subarnarekha River Basin, Jharkhand, India: Using Remote Sensing, Irrigation Indices and Statistical Technique |
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144 | (26) |
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11 Spatial and Temporal Variability of Sea Surface Height Anomaly and its Relationship with Satellite Derived Chlorophyll a Pigment Concentration in the Bay of Bengal |
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170 | (9) |
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12 Monitoring Soil Moisture Deficit Using SMOS Satellite Soil Moisture: Correspondence through Rainfall-runoff Model |
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179 | (18) |
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Section IV Artificial Intelligence and Hybrid Approaches |
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13 A Deterministic Model to Predict Frost Hazard in Agricultural Land Utilizing Remotely Sensed Imagery and GIS |
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197 | (29) |
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14 A Statistical Approach for Catchment Calibration Data Selection in Flood Regionalisation |
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226 | |
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Prashant K. Srivastava, PhD, research scientist, ESSIC/NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Dawei Han, PhD, professor of hydroinformatics, Department of Civil Engineering, University of Bristol, UK
Akhilesh Singh Raghubanshi, PhD, director, Institute of Environment & Sustainable Development, Banaras Hindu University (BHU), Varanasi, India
Pavan Kumar, MSc, is affiliated with Bansthali University, Tonk, Rajasthan, India
Prem Chandra Pandey, MSc, is affiliated with the University of Leicester, UK
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