Advances in Remote Sensing for Natural Resource Monitoring

Name: Advances in Remote Sensing for Natural Resource Monitoring
Brand: Wiley-ISTE
Price: 179.99 EUR
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Prem C. Pandey Laxmi K. Sharma(Herausgeber*in)

Wiley-ISTE (Verlag)

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Erschienen am 18. Januar 2021

528 Seiten

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Inhalt

Cover
Title Page
Copyright
Contents
List of Abbreviations
List of Contributors
List of Editors
Preface
Section I General Section
Chapter 1 Introduction to Natural Resource Monitoring Using Remote Sensing Technology
1.1 Introduction
References
Chapter 2 Spectroradiometry: Types, Data Collection, and Processing
2.1 Introduction
2.2 Literature Review
2.3 The Types of Spectroradiometry
2.3.1 Spectroradiometry
2.3.2 Photometry and Colorimetry
2.4 Principle of the Spectroradiometer
2.5 Radiance Measurement
2.5.1 Factors Affecting Spectral Reflectance Measurements
2.5.2 Data Processing
2.5.2.1 Radiometric Calibration
2.5.2.2 Reflectance/Transmittance
2.5.2.3 Radiance/Irradiance/Emissivity
2.5.2.4 1st Derivative
2.5.2.5 2nd Derivative
2.5.2.6 Parabolic Correction
2.5.2.7 Other Methods
2.6 Data Collection
2.7 Generation of the Metadata
2.7.1 Continuum Removal
2.8 Applications of ASD in Agriculture and Forestry
2.9 Future Importance, Limitations, and Recommendations
Acknowledgment
References
Chapter 3 Geometric-Optical Modeling of Bidirectional Reflectance Distribution Function for Trees and Forest Stands
3.1 Introduction
3.2 Model Description
3.2.1 Sunlit Surfaces
3.2.2 Shaded Surfaces
3.2.3 Forest Stand Modeling
3.3 General Shape of the Apparent Luminance
3.4 Simulation and Discussion
References
Section II Vegetation Resource Monitoring (Forest and Agriculture)
Chapter 4 Mapping Stand Age of Indonesian Rubber Plantation Using Fully Polarimetric L-Band Synthetic Aperture Radar
4.1 Introduction
4.2 Methodology
4.2.1 Test Site and Dataset
4.2.2 Processing
4.3 Results and Discussion
4.3.1 Scattering Behavior
4.3.2 Classification Using Backscatter Coefficients
4.3.3 Classification Using Model-Based Decomposition
4.3.4 The Role of Combining Datasets
4.3.5 The Best Subset
4.4 Conclusion
Acknowledgments
References
Chapter 5 Responses of Multi-Frequency Remote Sensing to Forest Biomass
5.1 Background
5.1.1 Optical Remote Sensing
5.1.2 Microwave Remote Sensing
5.1.3 LiDAR Remote/Sensing
5.1.4 Synergic Use of Multi-Sensor Data
5.2 A Case Study in the Mixed Tropical Deciduous Forest of India
5.2.1 Study Area
5.2.2 Datasets
5.2.3 Methodology
5.2.4 Results
5.2.5 Conclusion
5.3 Uncertainties and Future Scope of Research in Biomass Estimation
5.3.1 Summary
Acknowledgment
References
Chapter 6 Crop Water Requirements Analysis Using Geoinformatics Techniques in the Water-Scarce Semi-Arid Watershed
6.1 Introduction
6.1.1 Crop Calendar
6.1.2 Crop Type Classification
6.1.3 Crop Water Requirements
6.1.4 CROPWAT Model
6.1.5 Meteorological Data
6.2 Reference Evapotranspiration (ETo)
6.2.1 Effective Rainfall
6.2.2 Crop Coefficient (Kc)
6.3 Soil Data
6.4 Crop Evapotranspiration (ETc)
6.5 Irrigation Water Requirement
6.6 Conclusion
Acknowledgment
References
Chapter 7 Biophysical Characterization and Monitoring Large-Scale Water and Vegetation Anomalies by Remote Sensing in the Agricultural Growing Areas of the Brazilian Semi-Arid Region
7.1 Introduction
7.2 Material and Methods
7.3 Results and Discussion
7.4 Conclusions
Acknowledgments
References
Section III Soil and Land Resource Monitoring
Chapter 8 SMOS L4 Downscaled Soil Moisture Product Evaluation Over a Two Year - Period in a Mediterranean Setting
8.1 Introduction
8.2 Experimental Setup
8.3 Datasets Description
8.3.1 SMOS L4 SM Product (1 km)
8.3.2 In-situ Soil Moisture Data
8.4 Methodology
8.4.1 SSM Extraction from SMOS
8.4.2 Pre-Processing of SMOS
8.4.3 Agreement Evaluation
8.5 Results
8.5.1 Station ES-CPA
8.5.2 Station N9
8.5.3 Station M5
8.5.4 Station H7
8.5.5 Station K9
8.6 Discussion
8.7 Conclusions
Acknowledgments
References
Chapter 9 Estimating Urban Population Density Using Remotely Sensed Imagery Products
9.1 Introduction
9.2 Spatial Data Disaggregation-MAUP Problem
9.2.1 Spatial Interpolation
9.3 Materials and Methods
9.3.1 Study Area and Data Sources
9.3.2 Areal Interpolation Using Cokriging
9.4 Areal Interpolation Using Geographically Weighted Regression (GWR)
9.5 Results and Discussion
9.6 Conclusions
References
Chapter 10 Impact of Land Cover Change on Surface Runoff
10.1 Introduction
10.2 Literature
10.3 Methodology
10.3.1 Supervised Classification
10.3.2 SWAT Model
10.3.3 SWAT Inputs
10.3.4 SWAT Outputs
10.4 Methodology
10.5 Study Area
10.5.1 Justification for Study Area Selection
10.6 Data Used
10.6.1 Weather Data
10.6.2 Satellite Data
10.6.2.1 LANDSAT Dataset
10.6.3 Digital Elevation Model
10.6.4 Soil Map
10.7 Results and Discussion
10.7.1 LU/LC Classification
10.7.2 LU/LC Map 1987
10.7.3 LU/LC Map 1997
10.7.4 LU/LC Map 2007
10.7.5 LU/LC Map 2017
10.7.6 Watershed Delineation
10.8 SWAT Results
10.8.1 HRU Analysis Report
10.8.2 Runoff Generated in Sub Basins
10.9 Conclusion
Acknowledgment
References
Chapter 11 Delineation of Groundwater Potential Zone and Site Suitability of Rainwater Harvesting Structures Using Remote Sensing and In Situ Geophysical Measurements
11.1 Introduction
11.2 Study Area
11.3 Data Used and Methodology
11.3.1 Data Used
11.3.2 Methodology
11.3.3 Vertical Electrical Sounding
11.3.4 Weightage Calculation
11.4 Results and Discussion
11.4.1 Land Use and Land Cover (LULC)
11.4.2 Soil
11.4.3 Hydro-Geomorphology
11.4.4 Lithology
11.4.5 Drainage Density
11.4.6 Lineament Density
11.5 Resistivity Survey
11.5.1 VES Survey and Cross Section
11.5.2 Interpolated Subsurface Soil Profile
11.5.3 Groundwater Potential Zone
11.5.4 Suitable Sites for Rainwater Harvesting Structures
11.6 Conclusions
Acknowledgment
References
Chapter 12 Structural Control on the Landscape Evolution of Son Alluvial Fan System in Ganga Foreland Basin
12.1 Introduction
12.2 Study Area
12.2.1 Geomorphological Setting of SAFS
12.2.2 Geology of the Son Valley and SAFS
12.2.3 Drainage
12.2.4 Climate
12.3 Materials and Methods
12.3.1 Data Used
12.3.2 Preprocessing of DEM
12.3.3 DEM Derived Parameters
12.3.4 Conceptual Background
12.3.4.1 Quantitative Measure of River Basin Dynamics/Reorganization
12.3.4.2 X (?)-Metrics and Cross-Divide ?-Anomaly
12.3.4.3 Rationale Behind Experimental Use of ?-Transform for Alluvial Stream Long Profiles
12.3.5 Normalized Channel Steepness Index (ksn) and Channel Concavity Index (?) Computation
12.3.6 Stream Sinuosity
12.3.7 Hypsometric Curve (HC)
12.4 Results and Discussion
12.4.1 Zones of (dis)equilibrium Over SAFS in Ganga Foreland Basin (GFB)
12.4.2 Sinuosity of Streams and Drainage Behavior Over SAFS
12.4.3 Extent of SAFS vis-à-vis Evolution of Ganga Plain
12.5 Conclusion and Recommendations
Acknowledgments
References
Section IV Water Resource Monitoring
Chapter 13 Managing the Blue Carbon Ecosystem: A Remote Sensing and GIS Approach
13.1 Introduction
13.2 Blue Carbon Ecosystem
13.2.1 Distribution
13.2.2 Mangrove
13.2.3 Seagrass
13.2.4 Salt Marshes
13.3 Factors Affecting Carbon Storage in Blue Carbon Ecosystems
13.4 Carbon Storage in the Blue Carbon Ecosystem
13.5 Pathways of Carbon in the Blue Carbon Ecosystem
13.6 Evaluation of Long-Term Carbon Deposition in Sediments
13.7 Ecosystem Services
13.8 Threats to Coastal Blue Carbon Ecosystems
13.9 Economy of Blue Carbon Ecosystems
13.10 Management
13.11 Conservation of Blue Carbon Ecosystem: A Remote Sensing Approach
13.11.1 Role of Optical Remote Sensing
13.11.2 Mapping the Mangrove Cover and Change Detection
13.12 Quantification of Biophysical Variables
13.12.1 Phenology
13.12.2 Role of Hyperspectral Remote Sensing
13.12.3 Mangrove-Mapping and Dynamics Studies Using Radar Data
13.12.4 Dependence on Frequency
13.12.5 Species Identification
13.13 Conclusion
Acknowledgment
References
Chapter 14 Appraising the Changing Climate and Extent of Snow in the Kashmir Himalaya Using MODIS Data
14.1 Introduction
14.2 Study Area
14.3 Materials and Methods
14.4 Results and Discussions
14.4.1 Trend in Air Temperature
14.4.2 Trend in Snow Cover Area
14.4.3 Variations in SCA Under Elevation Zones
14.5 Conclusion
Acknowledgments
References
Chapter 15 Knowledge-Based Mapping of Debris-Covered Glaciers in the Greater Himalayan Range
15.1 Introduction
15.1.1 Overview of Ablation Pattern of Glaciers in the Western Himalayas
15.1.2 Overview of Glacier Mapping Techniques
15.2 Study Area
15.3 Data Sources
15.4 Methodology
15.4.1 Pre-Processing of Satellite Data
15.4.2 Knowledge-Based Approach
15.4.2.1 Segregation of Snow and Ice from Other Land Covers Using Spectral Index
15.4.2.2 Segregation Between Snow and Ice Types Using Spectral Indices
15.4.2.3 Segregation of Supraglacial Debris Types from Non-Glacier Area
15.5 Results and Discussions
15.5.1 Accuracy Assessment of Supraglacial Covers Mapping of Pensilungpa Glacier
15.5.2 Knowledge-Based Approach Versus Manual Digitization for Mapping Pensilungpa Glacier
15.5.3 Uncertainty Analysis
15.5.4 Knowledge-Based Approach Versus Supervised Classification for Mapping Pensilungpa Glacier
15.5.5 Evaluation of Spatiotemporal Application Potential of the Knowledge-Based Approach
15.6 Summary and Conclusions
15.7 Future Scope
References
Chapter 16 Seawater Intrusion and Salinity Mapping in Coastal Aquifers: A Geospatial Approach
16.1 Introduction
16.1.1 Water Stress in Coastal Aquifers Due to Salinity: A Global Concern
16.1.2 Salinization of Aquifers in Semiarid Regions
16.1.3 Seawater Intrusion: Basic Concept
16.1.4 Various Approaches to Study Seawater Intrusion
16.2 Aquifer Vulnerability Concept
16.2.1 Vulnerability Types
16.2.1.1 Intrinsic Vulnerability
16.2.1.2 Specific Vulnerability
16.2.2 Aquifer Vulnerability Due to Seawater Intrusion
16.2.3 Methods to Assess Vulnerability
16.2.3.1 Sensitivity Analysis
16.2.4 Significance
16.2.5 Geophysical Approaches
16.2.5.1 Electromagnetic Surveys
16.2.5.2 Time Domain Electromagnetic (TDEM)
16.2.5.3 Frequency Domain Electromagnetic (FEM)
16.2.5.4 Self-Potential
16.2.5.5 Ground Penetrating Radar
16.2.6 Numerical Model for Explaining Seawater Intrusion
16.2.7 Remote Sensing for Salinity Mapping
16.2.7.1 Optical Remote Sensing for Salinity Mapping
16.2.7.2 Hyperspectral Remote Sensing
16.2.7.3 Microwave Remote Sensing for Salinity Mapping
16.3 Conclusion
Acknowledgments
References
Chapter 17 Wetland-Inundated Area Modeling and Monitoring Using Supervised and Machine Learning Classifiers
17.1 Introduction
17.2 Study Area
17.3 Data Sources and Methods
17.3.1 Data Sources
17.3.2 Methods for Wetland-Inundated Area Mapping
17.3.2.1 Methods for Machine Learning Classifiers
17.3.2.2 Method for Supervised Classifiers
17.3.3 Methods for Accuracy Assessment of Wetland-Inundation Area Mapping
17.3.4 Methods of Modeling Wetland Landscape Transformation
17.4 Results and Discussion
17.4.1 Wetland Mapping Using Different Classifiers
17.4.2 Validation of the Methods
17.4.3 Spatiotemporal Analysis of Hydrological Variability of the Wetlands
17.4.4 Fragmentation Analysis of the Hydrological Variability
17.5 Conclusion
Acknowledgment
References
Chapter 18 A Focus on Reaggregation of Playa Wetlandscapes in the Face of Global Ecological Disconnectivity
18.1 Introduction
18.2 Global Ecological Disconnectivity
18.3 Playa Wetlandscapes
18.3.1 Importance
18.3.2 Threats
18.3.3 Playas of India
18.4 Indian Playa Wetlandscapes for Global Ecological Connectivity
18.5 Reaggregation of Playa Wetlandscapes
18.6 Recent Approaches Used for Wetlandscape Studies
18.7 Limitations of Current Wetlandscape Studies
18.8 Scope of Integrated Playa Wetlandscape Modeling
Acknowledgment
References
Section V Disaster Monitoring of Natural Resources
Chapter 19 Flood Damage Assessment in a Part of the Ganga-Brahmaputra Plain Region, India
19.1 Introduction
19.2 Study Area
19.3 Materials and Methods
19.4 Results and Discussion
19.4.1 Flood-Prone and Flooded Areas
19.4.2 Flood Damage and Flood Protection Works
19.4.3 Trends in Flood Damage and Peak Flood Discharge
19.5 Conclusions
Acknowledgments
Declaration
References
Chapter 20 Texture-Based Riverine Feature Extraction and Flood Mapping Using Satellite Images
20.1 Introduction
20.2 Related Work
20.3 The Study Area and Data Resources
20.4 Methodology
20.4.1 Geometric Correction and Image Enhancement
20.4.2 Texture Feature Extraction and Optimal Feature Selection
20.4.3 Texture-Based Classification
20.4.4 Flood Hazard Mapping for Identification of Safe Islands
20.4.4.1 Flood Inundation Mapping
20.4.4.2 Validation of Flood Extent
20.4.4.3 Damage Assessment
20.5 Results and Discussions
20.5.1 Feature Selection and Classification
20.5.2 Flood Hazard Mapping
20.5.3 HEC-RAS Processing and Model Validation
20.5.4 Flood Damage Assessment
20.6 Conclusion
Acknowledgment
References
Chapter 21 Numerical Simulation and Comparison of Tsunami Inundation for Different Satellite-Derived Datasets for the Gujarat Coast of India
21.1 Introduction
21.2 Study Area
21.3 Methodology
21.3.1 Extraction of Different Satellite-Derived Datasets
21.3.2 Numerical Modeling
21.4 Results and Discussion
21.4.1 Analysis of Datasets
21.4.2 Parallel Transects
21.4.3 Perpendicular Transects
21.5 Conclusions
Acknowledgments
References
Section VI Future Aspect of Natural Resource Monitoring
Chapter 22 Future Aspects and Potential of the Remote Sensing Technology to Meet the Natural Resource Needs
22.1 Introduction
22.2 Advances in Remote Sensing for Natural Resources Monitoring
22.3 Potential Applications in Natural Resource Monitoring
22.4 Challenges and Future Aspects
22.5 Conclusion
Acknowledgment
References
Index
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