Note: Intro -- Foreword -- Contents -- About the Editors -- Introduction -- Part IClassical Remote Sensing Applications -- 1 Remote Sensing-Based Determination of Conifer Needle Flushing Phenology over Boreal-Dominant Regions -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Description of the Study Area and Data Requirements -- 2.2 Generation of AGDD Maps -- 2.3 Determination of AGDD and NDWI Thresholds for CNG Occurrence -- 2.4 Integration of both AGDD and NDWI Threshold for CNG Occurrence -- 2.5 Mapping of CNF Using the Best Prediction Criteria -- 3…Results and Discussion -- 3.1 Determination of AGDD Threshold for CNF Occurrence -- 3.2 Determination of NDWI Thresholds for CNF Occurrence -- 3.3 Integration of both AGDD and NDWI Thresholds -- 3.4 Spatial Dynamics of CNF Across the Landscape -- 4…Concluding Remarks -- Acknowledgements -- References -- 2 Information System for Integrated Watershed Management Using Remote Sensing and GIS -- Abstract -- 1…Introduction -- 1.1 Why Management of Natural Resources on Watershed Basis? -- 1.2 Role of Geographic Information System (GIS) and Remote Sensing (RS) in Watershed Management -- 1.3 Decision Support System in Watershed Management -- 1.4 Need for Advanced and Augmented Techniques for Watershed Management -- 2…Study Area -- 3…Conceptual Design -- 3.1 Data Used -- 3.2 Tools and Technologies Used -- 3.3 System Architecture -- 4…Online Generation and Implementation of WATMIS -- 5…Conclusion -- References -- 3 Sensitivity Exploration of SimSphere Land Surface Model Towards Its Use for Operational Products Development from Earth Observation Data -- Abstract -- 1…Introduction -- 2…Sensitivity Analysis: An Overview -- 3…Materials and Methods -- 3.1 SimSphere Model -- 3.2 The Bayesian GSA Method -- 3.3 BACCO Implementation -- 4…Results -- 4.1 Emulator Validation -- 4.2 SA Results -- 5…Discussion. , 6…Conclusions -- Acknowledgments -- References -- 4 Remote Estimation of Land Surface Temperature for Different LULC Features of a Moist Deciduous Tropical Forest Region -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Study Area and Datasets -- 2.2 Image Interpretation for LULC -- 2.3 Surface Temperature Estimation -- 3…Results and Discussions -- Acknowledgments -- References -- 5 Geospatial Strategy for Estimation of Soil Organic Carbon in Tropical Wildlife Reserve -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Study Area -- 2.2 Data Used -- 2.3 Image Interpretation -- 2.4 Estimation of Soil Organic Carbon -- 3…Results and Discussion -- 3.1 Land Use Land Cover Classification -- 3.2 Bare Soil Index -- 3.3 Soil Type Map -- 3.4 Soil Organic Carbon and Regression Analysis -- 4…Conclusion -- Acknowledgment -- References -- Part IIAdvanced Remote Sensing Applications -- 6 A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam -- Abstract -- 1…Introduction -- 2…Study Area and Spatial Database -- 2.1 Study Area Characteristics -- 2.2 Spatial Database -- 2.2.1 Landslide Inventory -- 2.2.2 Digital Elevation Model and Derivatives -- 2.3 Lithology and Distance to Faults -- 2.4 Land Use and Soil Type -- 3…Methodology -- 3.1 Training and Validation Dataset -- 3.2 Fuzzy Unordered Rules Induction Algorithm -- 3.3 Decision Tree -- 3.4 Bagging -- 3.5 Generation of Landslide Susceptibility Maps -- 4…Validation and Comparison of Landslide Susceptibility Models -- 4.1 Model Performance and Evaluation -- 4.2 Model Validation -- 4.3 Relative Contribution of the Conditioning Factors -- 5…Conclusion -- Acknowledgement -- References. , 7 Application of Geo-Spatial Technique for Flood Inundation Mapping of Low Lying Areas -- Abstract -- 1…Introduction -- 2…Study Area and Datasets -- 2.1 Tapi Basin -- 2.2 Surat City -- 2.2.1 Geology and Soil Conditions -- 2.2.2 Ground Water Table -- 2.2.3 Climate -- 2.2.4 Temperature and Rainfall -- 2.2.5 Demography/Population in the Study Area -- 2.3 Hydraulic Structures at LTB -- 2.3.1 Ukai Dam -- 2.3.2 Kakrapar Weir -- 2.3.3 Singanpur Weir -- 2.4 Flood Event 2006 -- 2.5 Data Collection -- 3…Methodology -- 4…Results and Discussion -- 5…Validation -- 6…Conclusion -- Acknowledgments -- References -- 8 Spatial Variations in Vegetation Fires and Carbon Monoxide Concentrations in South Asia -- Abstract -- 1…Introduction -- 2…Data Sets and Methodology -- 2.1 Vegetation Fires -- 2.2 MOPITT CO Retrievals -- 2.3 Aerosol Optical Depth (AOD) and Aerosol Small Mode Fraction (SMAF) -- 2.4 Spatial Gridding, Ordinary Linear Regression (OLR) and Locally Weighted regression -- 3…Results and Discussion -- Acknowledgements -- References -- 9 Land Use Fragmentation Analysis Using Remote Sensing and Fragstats -- Abstract -- 1…Introduction -- 2…Study Area -- 3…Materials and Methods -- 3.1 Classification of Satellite Data -- 3.2 Fragmentation Analysis -- 4…Result and Discussion -- 4.1 Land Use and Land Cover Distribution -- 4.2 Landscape Level Metrics -- 4.3 Class Level Metrics -- 4.4 Class Level Metric Analysis -- 4.5 Land Fragmented Class Analysis -- 4.6 Estimating Effects on Water Quality -- 5…Conclusion -- Acknowledgments -- References -- 10 Chlorophyll Retrieval Using Ground Based Hyperspectral Data from a Tropical Area of India Using Regression Algorithms -- Abstract -- 1…Introduction -- 2…Materials and Methods -- 2.1 Field Experiment and Canopy Spectral Measurements -- 2.2 Data Analysis -- 2.3 Chlorophyll Estimation -- 2.4 Statistical Analysis. , 2.4.1 Descriptive Statistics -- 2.4.2 Regression Analysis -- 2.4.3 Paired t Test -- 3…Results and Discussion -- 3.1 Descriptive Statistics of the Data -- 3.2 Continuum Removal and REIP Evaluation -- 3.3 Calculation of Vegetation Indices -- 3.4 Relationship of Chlorophyll with Vegetation Indices -- 3.5 Sensitivity Analysis of the Empirical Relationships Developed -- 4…Conclusion -- Acknowledgment -- References -- 11 Remote Sensing Based Identification of Painted Rock Shelter Sites: Appraisal Using Advanced Wide Field Sensor, Neural Network and Field Observations -- Abstract -- 1…Introduction -- 2…Material and Methodology -- 2.1 Study Area -- 2.2 Satellite and GIS Datasets -- 2.3 Classifiers/Algorithms Implemented in this Study -- 2.3.1 Artificial Neural Network (ANN) -- 2.3.2 Maximum Likelihood Classification (MLC) -- 3…Accuracy Assessment of the Classified Images -- 4…Results and Discussion -- 4.1 Land Covers Distribution and Accuracy Assessment -- 4.2 Interpretation of the Results and Archaeological Relevance -- 5…Conclusion -- Acknowledgment -- References.