Remote Sensing and GIScience : Challenges and Future Directions
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Remote Sensing and GIScience : Challenges and Future Directions
Springer, [2020]
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3.5 Zonal Change
収録内容
- Intro
- Foreword
- Contents
- About the Editors
- Part I: General
- Introduction to Challenges and Future Directions in Remote Sensing and GIScience
- Part II: Challenges in Sustainable Natural Resources Management
- Environmental and Livelihood Impact Assessment of 2013 Flash Flood in Alakananda and Mandakini River Valley, Uttarakhand (Indi...
- 1 Introduction
- 2 Study Area
- 3 Material and Methodology
- 3.1 Data Collection
- 3.2 Data Collection for the Survey
- 3.3 Analysis of the Satellite Images for Impacts of Flood
- 3.3.1 Image Acquisition
- 3.3.2 Georectification
- 3.3.3 Image Extraction (Subset/Mosaicking)
- 3.3.4 Image Classification
- 3.3.5 Unsupervised Classification
- 3.3.6 Digitization (for Vector Layer)
- 3.4 Environmental Impact Assessment of Flood
- 3.5 Normalized Difference Vegetation Index (NDVI)
- 3.6 Livelihood Impact Assessment
- 4 Result/Discussions
- 4.1 Land Use Changes in Alaknanda and Mandakini Basin
- 4.2 Changes in Forest Cover
- 4.3 Damage Caused by the Flood
- 4.4 Assessment of the Impact of the Flood on the Livelihood of Inhabitants
- 4.5 Environmental Evaluation System Using the Battelle Method
- 5 Discussion and Conclusion
- References
- Assessment of Vegetation Vigor Using Integrated Synthetic Aperture Radars
- 1 Introduction
- 2 Study Area and Datasets
- 2.1 Study Area
- 2.2 Datasets
- 3 Method
- 3.1 In-Situ Measurements
- 3.2 SAR Data Processing
- 3.2.1 Conversion from Slant to Ground Range
- 3.2.2 Generation of Amplitude and Power Images
- 3.2.3 Geocoding
- 3.2.4 Radiometric Calibration
- 3.2.5 Speckle Filtering
- 3.3 Integrated Regression Model
- 3.4 Statistical Metrics
- 4 Results
- 4.1 Model Structure
- 4.2 AGB-SAR Relationship
- 4.3 Synergy Model
- 4.4 Model Statistics
- 5 Discussion
- 6 Conclusions
- References
- Landslide Susceptibility Mapping Using Bivariate Frequency Ratio Model and Geospatial Techniques: A Case from Karbi Anglong We...
- 1 Introduction
- 2 Study Area
- 3 Database and Methodology
- 3.1 Landslide Inventory Map
- 3.2 Landslide-Conditioning Parameters
- 3.3 Landslide Susceptibility Model (Frequency Ratio)
- 3.4 Validation of the Map
- 4 Results
- 4.1 Validation
- 5 Conclusion
- References
- Retreating Glacier Dynamics Over the Last Quarter of a Century in Uttarakhand Region Using Optical Sensor Time Series Data
- 1 Introduction
- 2 Material and Methodology
- 2.1 Study Area
- 2.2 Data Used
- 2.3 Data Calibration
- 2.3.1 Digital Number to Radiance
- 2.3.2 Radiance to Reflectance
- 2.3.3 Radiance to Brightness
- 2.4 Indices
- 2.4.1 Normalized Difference Vegetation Index
- 2.4.2 Normalized Difference Snow Index
- 3 Results and Discussion
- 3.1 Spectral Curve
- 3.2 Histogram
- 3.3 Normalized Difference Vegetation Index
- 3.4 Normalized Difference Snow Index