Remote sensing of agriculture and land cover/land use changes in South and Southeast Asian countries / / edited by Krishna Prasad Vadrevu [and three others]

• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (618 pages)
• Disciplina: 630.2085
• Soggetto topico: Agricultural innovations; Agriculture - Remote sensing; Land cover
• Persona (resp. second.): VadrevuKrishna Prasad
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Foreword -- Preface -- Contents -- About the Editors -- Agricultural Information Needs and Research Priorities for Remote Sensing in South and Southeast Asian Countries -- 1 Introduction -- 2 Food Production and Security in South/Southeast Asia (S/SEA): Remote Sensing Needs and Priorities -- 2.1 Need for Operational Mapping of Land Use/Cover Changes (LCLUC) Focusing on Agriculture -- 2.2 Need for Long-Term Agricultural Research Site Data to Aid in Developing Operational Mapping and Monitoring of Cropping Systems -- 2.3 Crop Mapping and Monitoring in S/SEA Need to Move Beyond Rice and Focus on Additional Crops -- 2.4 Need for Characterizing Agricultural Field Size, Land Parcel Identification -- 2.5 Crop Masks, Cropping Systems and Rotations Characterization -- 2.6 Need for Crop Production, Acreage and Yield Estimates at a Much Higher Resolution -- 2.7 SAR Data Potential is Yet to Be Fully Explored for Agricultural Research and Applications in S/SEA Countries -- 2.8 Need for Locally Calibrated and Validated Robust Forecasting Tools on Crop Condition, Growth and Yield, Including Food security Indicators -- 2.9 Need for Robust Weather and Climate Datasets -- 2.10 Need for Microwave Soil Moisture Products and Evaluation -- 2.11 More Studies on Irrigation and Water Management Needed -- 2.12 Need for Operational Flood and Drought Early Warning and Monitoring Systems -- 2.13 Need for the Development of Geospatial Web Service Technologies for Data Access, Sharing, and Management -- 3 Smallholder Farmer Information Needs and Priorities -- 4 Capacity Building Needs and Priorities -- 5 Regional Space Agencies and Need for Stronger Cooperation on Agriculture -- 6 Obstacles to Progress -- References -- Part I: International, Regional and National Programs in Agriculture. ; South/Southeast Asia Research Initiative (SARI) and Agricultural Research Projects -- 1 Introduction -- 2 South/Southeast Asia Regional Research Initiative -- 3 South/Southeast Asian Agriculture -- 4 SARI Agricultural Projects -- 5 Discussion -- References -- The NASA Harvest Program on Agriculture and Food Security -- 1 Introduction -- 1.1 Background -- 2 NASA Harvest and GEOGLAM -- 2.1 The AMIS Crop Monitor -- 2.2 Crop Monitor for Early Warning -- 2.3 Essential Agricultural Variables -- 3 Example of Harvest Research and Development Activities -- 3.1 Crop Mapping -- 3.2 Crop Yield Estimation -- 3.3 Crop Yield Forecasting -- 3.4 Integrating Earth Observations into Crop Process Modelling -- 4 Example of Harvest Regional Activities -- 4.1 Africa -- 4.2 The Americas -- 5 Developing Private Sector Partnerships -- 5.1 The Sustainable and Regenerative Agriculture (SARA) initiative -- 6 Harvest Rapid Action for Policy Support (RAPS) -- 6.1 Supporting Farmers in Togo During COVID-19 -- 6.2 Derecho Crop Damage Assessment in Iowa, US -- 6.2.1 In-season Winter Wheat Area Assessment in Russia -- 7 Harvest Insurance Initiative -- 8 Field Data Collection -- 8.1 Helmets Labeling Crops -- 8.2 NASA Harvest - UN FAO Global Information and Early Warning System (GIEWS) -- 8.3 SIMA Partnership to Access Field Data -- 8.4 Educational Program for Engaging Rural Students for Agricultural In-situ Data Collection -- 9 Data and Communications -- 9.1 The Harvest Portal -- 9.2 Harvest Communications -- 10 The Way Forward -- References -- Asia-RiCE: Collaborative Framework for Rice Crop Management in Asia -- 1 Introduction -- 2 Asia-RiCE Objectives and the Framework -- 3 Overview of Achievements of Asia-RiCE -- 4 Conclusion and Way Forward -- References -- Rice Growth Outlook Using Satellite-Based Information in Southeast Asia. ; 1 Rice Growing Outlook for the Asia-RiCE Initiative -- 2 A Satellite Based Data Provision System for the Asia-RiCE Initiative -- 2.1 Overview of the JASMIN -- 2.2 Products Provided by the JASMIN -- 3 Rice Growing Outlook Activity in Asia-RiCE -- 3.1 A Framework of the Rice Growing Outlook Activities -- 3.2 Procedure for Publishing the Rice Growing Outlook -- 3.3 Examples of Rice Growing Outlook -- 4 Conclusions -- References -- RIICE: The Service and Its Operational Use -- 1 Part I: The Service -- 1.1 Introduction -- 1.2 Method -- 1.2.1 Rice Cultivated Area: Where and When Is Rice? -- 1.2.2 Yield Estimation: How Much Will Be/Is Rice? -- 2 Part II: Operational Use -- 2.1 Philippines -- 2.2 Vietnam -- 2.3 Cambodia -- 2.4 Odisha -- 2.5 Andhra Pradesh -- 2.6 Tamil Nadu -- 2.7 Conclusions -- References -- The Philippine Rice Information System (PRiSM): An Operational Monitoring and Information System on Rice -- 1 Introduction -- 1.1 Moving from Research to Operations -- 2 PRiSM Coverage -- 3 Data and Methods -- 3.1 Field Data -- 3.2 Synthetic Aperture Radar Data -- 3.3 Rice Area Mapping -- 3.4 Yield Estimation -- 4 PRiSM Products -- 4.1 Rice Area Estimates -- 4.2 Yield Estimates -- 5 Lesson Learned -- 5.1 Partnership -- 5.2 Communication -- 5.3 Capacity Building -- 6 Conclusion -- References -- An Initiation of National Institute for Precision Agriculture Research Network: A Case of Thailand Research Fund and Thailand Science Research and Innovation -- 1 Introduction -- 2 Study Area -- 3 Materials -- 3.1 The Framework -- 3.2 Research Projects -- 4 Results and Discussion -- 4.1 Traditional and SFSI Agricultural Research & -- Innovation -- 4.2 Organic Fragile Rice Transformation Research Project -- 5 Conclusion -- References -- Part II: Crop Mapping, Monitoring, Yield and Water Resources. ; Varietal Discrimination, Acreage Estimation and Yield Prediction of Basmati Aromatic Rice in North-Western India Using Satellite Data -- 1 Introduction -- 1.1 Importance of Basmati Rice -- 1.2 Physical Basis of Crop Varieties Discrimination and Crop Phenology in Remote Sensing -- 1.3 Objectives -- 2 Study Area -- 3 Methodology -- 3.1 Remote Sensing Data Used -- 3.2 Field Data Collection and GPS Measurements -- 3.3 Geographic Information System (GIS) Data -- 3.4 Crop Cutting Experiments (CCE) for Yield Estimation -- 3.5 Meteorological Data -- 3.6 Digital Data Analysis -- 3.6.1 Basmati and High Yielding Rice Variety Differentiation Using NDVI -- 3.7 Generation of Training Signatures and Separability Analysis -- 3.8 MXL Supervised Classification for Basmati and High Yielding Rice Varieties -- 3.9 Agro-meteorological Yield Model Development -- 3.9.1 Trend Predicted Rice Yields -- 3.9.2 Normalized Yield Deviation -- 3.9.3 Correlation and Regression Analysis -- 4 Results and Discussion -- 4.1 State- and District-level Basmati Rice Acreage Estimation -- 4.2 Post-classification Accuracy Assessment -- 4.3 NDVI Based Yield Estimation Using Multi-temporal Remote Sensing Data -- 4.4 Spectral Index - Yield Relationship -- 4.5 District-Level Agro-meteorological Rice Yield Models -- 4.6 District and State-Level Production Estimation of Different Rice Varieties -- 5 Conclusion -- References -- Mapping Smallholder Yields Using Planet and Sentinel-2 Satellite Data -- 1 Introduction -- 2 Study Area -- 3 Data and Methods -- 3.1 Field Data and Polygons -- 3.2 Satellite Data -- 3.2.1 Planet -- 3.2.2 Sentinel-2 -- 3.3 Approach -- 4 Results and Discussion -- 5 Conclusion -- References -- A Data-Analytical Way of Estimating Rice Crop Yield: Economic and Water Related Causative Factors -- 1 Introduction -- 2 Rivers and Water Redistribution -- 3 Method. ; 4 Findings on Yield Determination: Spatio-Temporal Rainfall Impacts -- 5 Discussion -- 6 Concluding Remarks -- References -- Rice Monitoring in Southeast Asia Using Earth Observation Satellite Data -- 1 Introduction -- 2 Overview of Rice Mapping Technology -- 3 Case Studies -- 3.1 Cambodia: Validation Framework for Rice Crop Statistics Using Synthetic Aperture RADAR in Cambodia -- 3.1.1 Introduction -- 3.1.2 Rice Planted Area Mapping from ALOS-2 Data with Machine Learning -- 3.1.3 Validation Framework Integrating Reported Statistics with Satellite-Derived Information -- 3.1.4 Results -- 3.1.5 Conclusions -- 3.2 Indonesia: SAR Satellite Data for Rice Crop Monitoring in Indonesia -- 3.2.1 Introduction -- 3.2.2 Objective -- 3.2.3 Approach -- 3.2.4 Results -- 3.2.5 Impact -- 3.2.6 Conclusions -- 3.3 Thailand: Space Data for Assessing Rice Production Under Climate Variation -- 3.3.1 Introduction -- 3.3.2 Drought Monitoring Index for Crop Yield Assessment -- 3.4 Vietnam: SAR Data for Rice Crop Mapping in the Mekong Delta, Vietnam -- 3.4.1 Introduction -- 3.4.2 Study Area -- 3.4.3 Data and Methods -- 3.4.4 Results -- 3.4.5 Conclusion -- 4 Way Forward -- References -- Crop LAI and Biomass Estimation from Different Polarization Modes of Simulated NISAR Data -- 1 Introduction -- 2 Test Site and Data Sets -- 2.1 Test Site and In-Situ Measurements -- 2.2 SAR Data and Data Preprocessing -- 3 Methodology -- 3.1 Radar Vegetation Indices -- 3.1.1 Generalized Radar Vegetation Index (GRVI) -- 3.1.2 Compact-Pol Radar Vegetation Index (CpRVI) -- 3.1.3 Dual-Pol Radar Vegetation Index (DpRVI) -- 3.2 Crop Biophysical Parameter Estimation Using Vegetation Indices -- 4 Results and Discussion -- 5 Summary -- References -- Pixel-Based Evaluation of Rice Production and Related Greenhouse Gas Emissions in the Mekong Delta Integrating SAR Data and Ground Observations. ; 1 Introduction.
• Titolo autorizzato: Remote Sensing of Agriculture and Land Cover
• ISBN: 3-030-92365-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910556889103321
• Lo trovi qui: Univ. Federico II