Keywords:
Geographic information systems.
;
Remote sensing.
;
Electronic books.
Type of Medium:
Online Resource
Pages:
1 online resource (270 pages)
Edition:
1st ed.
ISBN:
9783319998824
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=5603413
Language:
English
Note:
Intro -- Contents -- Part I: General -- Chapter 1: Introduction to Space Technology Challenges: Potential and Future Prospects -- Part II: Understanding of Sustainable Water Resource Management -- Chapter 2: Recharge Potential Mapping in Complex Hydrological System of Kosi Basin in the Mid-Himalayan Region -- 2.1 Introduction -- 2.2 Materials and Method -- 2.2.1 Characteristics of Study Area -- 2.2.2 Data Collection and Preprocessing -- 2.2.3 Multi-criteria Decision and Weightage Sum Analysis -- 2.3 Results and Discussion -- 2.3.1 Relief Aspect and Recharge Potentiality of Basin -- 2.3.2 Structural Aspect and Recharge Potentiality of Basin -- 2.3.3 Recharge Potential Evaluation and Mapping -- 2.4 Conclusion -- References -- Chapter 3: Application of Geoinformatics for the Integrated Watershed Management and Development Planning, Bal Ganga Basin, Te... -- 3.1 Introduction -- 3.1.1 Why Watershed -- 3.1.2 Natural Resource Degradation -- 3.2 Study Area -- 3.3 Materials and Method -- 3.3.1 Physiography Variables -- 3.3.2 Soil -- 3.3.3 Land Use/Land Cover -- 3.3.4 Drainage Network -- 3.3.5 Villages -- 3.3.6 Road Network -- 3.4 Integrated Resource Planning -- 3.5 Conclusions -- References -- Chapter 4: A Semi-analytical Approach to Understand Remote Sensing-based Backscattering Characteristics for Kerala Coast Using... -- 4.1 Introduction -- 4.2 Materials and Method -- 4.3 Results and Discussion -- 4.4 Conclusions -- References -- Chapter 5: Phytoplankton (chl-a) Biomass Seasonal Variability in the Gulf of Mannar, South India: A Remote Sensing Perspective -- 5.1 Introduction -- 5.2 Gulf of Mannar: Geographical Profile -- 5.3 Materials and Method -- 5.3.1 Extraction of Phytoplankton (chl-a) Concentration -- 5.3.2 Sea Surface Temperature Estimation -- 5.3.3 Seawater Salinity Estimation -- 5.4 Results and Discussion.
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5.4.1 Landsat ETM Image Reflectance Response to Phytoplankton Concentration -- 5.4.2 Estimation of Phytoplankton Concentration -- 5.4.3 Spatio-Temporal Variation of Phytoplankton (chl-a) Biomass -- 5.4.4 Factor Influencing Phytoplankton (Chl-s) Dispersal -- 5.4.4.1 Seawater Salinity -- 5.4.4.2 Sea Surface Temperature -- 5.4.4.3 Wave Height and Littoral Current -- 5.5 Conclusion -- References -- Part III: Global Modelling of Natural Hazard Risk Assessment -- Chapter 6: Flood Inundation and Hazard Mapping of 2017 Floods in the Rapti River Basin Using Sentinel-1A Synthetic Aperture Ra... -- 6.1 Introduction -- 6.2 Study Area -- 6.3 Material and Methodology -- 6.4 Results and Discussion -- 6.4.1 Cause and Occurrence of 2017 Floods -- 6.4.2 Flooded Area of the Rapti River Basin in 2017 -- 6.4.3 Downstream Movement of 2017 Floods -- 6.4.4 Development Block-Wise Flood Hazard Assessment -- 6.5 Conclusions -- References -- Chapter 7: Application of ASTER Remote Sensing for Lithological Mapping in the Udaipur District of Rajasthan, India -- 7.1 Introduction -- 7.2 Study Area and Geological Setting -- 7.3 Materials and Methodology -- 7.3.1 Field Spectra Reflectance Data Collection -- 7.3.2 ASTER Pre-processing and Image Calibration -- 7.3.3 Empirical Line Calibration (ELC) -- 7.3.4 Minimum Noise Fraction (MNF) Transformation -- 7.3.5 Spectral Angle Mapper Classification -- 7.4 Results and Discussion -- 7.4.1 ASTER Image Spectral Characteristics of Rock Types -- 7.4.2 Discrimination of Lithological Feature Using MNF Analysis -- 7.4.2.1 Locality 1: 73 53′ E to 74 40′ E and 24 20′ N to 24 30′ N (Area of Kotra, Jhamarkotra and Zawar) -- 7.4.2.2 Locality 2: 73 35′ E to 73 44′ E and 24 36′ N to 24 42′ N (Area of Thur, Badgaon, Fatehpura and a Part of National Hig... -- 7.4.3 SAM Classification of ASTER for Lithological Mapping -- 7.5 Conclusion -- References.
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Chapter 8: Interactive Approach for Earthquake Scenario Development and Hazards Resource Estimation -- 8.1 Introduction -- 8.2 Study Area -- 8.3 Material and Methodology -- 8.3.1 Land Use/Land Cover -- 8.3.2 Cartosat DEM -- 8.3.3 Slope Approach -- 8.3.4 Relief -- 8.3.5 Weightage Assignments -- 8.3.6 Trend Surface Analysis -- 8.3.7 Co-Kriging -- 8.3.8 Isoseismic Line -- 8.4 Results and Discussion -- 8.4.1 Land Use/Land Cover -- 8.4.2 Cartosat DEM -- 8.4.3 Slope Map -- 8.4.4 Relief -- 8.4.5 Earthquake Mapping -- 8.4.6 Seismic Hazard Map -- 8.5 Conclusion -- References -- Chapter 9: A Sediment Dynamic Modelling of Landsat OLI Image for Suspended Sediment Drift Along the Southwest Coast of India -- 9.1 Introduction -- 9.2 Study Area -- 9.3 Materials and Methodology -- 9.3.1 Data Used -- 9.3.2 Conversion of DN to TOA Reflectance -- 9.3.3 Rayleigh´s Reflectance Correction -- 9.3.4 Marine Reflectance Calculation -- 9.3.5 Physiography and Drainage System -- 9.3.6 Mean Significant Wave Height -- 9.3.7 Coastal Erosion and Accretion -- 9.3.8 Relative Sea Level Rise -- 9.3.9 Extraction of Suspended Sediments -- 9.4 Results and Discussion -- 9.4.1 Landforms and Drainage System -- 9.4.2 Hydrodynamic Processes Along the Coast -- 9.4.3 Monitoring of Suspended Sediments -- 9.5 Conclusion -- Reference -- Part IV: Progress and Perspective Scenario of Urban Growth Models -- Chapter 10: Inter-calibration and Urban Light Index of DMSP-OLS Night-Time Data for Evaluating the Urbanization Process in Aus... -- 10.1 Introduction -- 10.2 Study Area -- 10.3 Materials and Methodology -- 10.3.1 Spatial Analysis: Estimation of Detected Area Under Threshold Frequency -- 10.3.2 Urban Built-Up Area Extraction -- 10.3.3 Inter-calibration of the Night-Time Light Dataset -- 10.3.4 Statistical Data for Measuring ULI -- 10.3.5 Frequency of Calibration Data.
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10.3.6 Inter-calibrated Resulted Urban Light Index (ULI) -- 10.4 Results and Discussion -- 10.4.1 Light Detection Threshold Information Retrieval -- 10.4.2 Urban Light Indexation (ULI) of NTL Time Series Data -- 10.5 Discussion -- References -- Chapter 11: Modelling Spatial Patterns of Urban Growth in Pune Metropolitan Region, India -- 11.1 Introduction -- 11.2 Study Area and Data -- 11.3 Methods -- 11.3.1 Satellite Image Classification -- 11.3.2 Model Development -- 11.3.2.1 Dependent and Explanatory Variables -- 11.3.2.2 Variable Selection -- 11.3.2.3 Ordinary Least Squares Regression -- 11.3.2.4 Spatial Regression -- 11.4 Results -- 11.4.1 Ordinary Least Squares Regression -- 11.4.2 Spatial Regression -- 11.5 Discussion -- 11.5.1 Key Findings -- 11.5.2 Proposed Framework -- 11.5.3 Methodological Limitations -- 11.6 Conclusion -- References -- Chapter 12: Analysing Urban Sprawl and Spatial Expansion of Kolkata Urban Agglomeration Using Geospatial Approach -- 12.1 Introduction -- 12.2 Study Area -- 12.3 Database and Methodology -- 12.3.1 Assessment of the Degree of Urbanization -- 12.3.2 Shannon´s Entropy Model of Urban Expansion -- 12.4 Result and Discussion -- 12.4.1 Spatiotemporal Dynamics of LULC and Urban Built-Up Area -- 12.4.2 Builtup Density -- 12.4.3 Shannon´s Entropy Model for Urban Expansion -- 12.5 Conclusion -- References -- Chapter 13: Automated Extraction of Urban Impervious Area from Spectral-Based Digital Image Processing Techniques -- 13.1 Introduction -- 13.2 Materials and Methods -- 13.2.1 Study Area and Data Sets -- 13.2.2 Methodology -- 13.3 Results and Discussion -- 13.4 Conclusion -- References -- Part V: Future Challenges of Natural Resource Management and their Potential over Space and Time -- Chapter 14: Hybrid Polarimetric Synthetic Aperture Radar for the Detection of Waterlogged Rice Fields -- 14.1 Introduction.
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14.2 Materials and Methods -- 14.2.1 Test Site and SAR Data -- 14.2.2 Data Analysis -- 14.3 Results and Discussion -- 14.3.1 The Importance of Dataset Selection -- 14.3.2 Performance of Prediction Models -- 14.3.3 Best Performing Data and Models -- 14.4 Conclusion -- References -- Chapter 15: Assessment of Forest Species Diversity in Sariska Tiger Reserve, Rajasthan, India -- 15.1 Introduction -- 15.2 Materials and Methods -- 15.2.1 Study Area -- 15.2.2 Data Used -- 15.2.3 Determination of Sample Size and Species Sampling Distribution -- 15.2.4 Data Assembly and Basal Area -- 15.2.5 Empirical Analysis of Species Richness Diversity and Evenness Indices -- 15.2.5.1 Shannon-Wiener Index (H/) -- 15.2.5.2 Margalef Index of Species Richness (SR) -- 15.2.5.3 Simpson´s Diversity (D) Index -- 15.2.5.4 Pielou´s Index (J) -- 15.3 Results and Discussion -- 15.3.1 Land Use/Land Cover and Forest Stand Structure Analysis -- 15.3.2 Forest Type Classification -- 15.4 Species Diversity -- 15.5 Determination of Diversity Through Clustering -- 15.6 Conclusion -- References -- Chapter 16: Future Challenges and Perspective of Remote Sensing Technology.
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