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Land-Atmospheric Research Applications in South and Southeast Asia / / edited by Krishna Prasad Vadrevu, Toshimasa Ohara, Chris Justice
| Land-Atmospheric Research Applications in South and Southeast Asia / / edited by Krishna Prasad Vadrevu, Toshimasa Ohara, Chris Justice |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (726 pages) |
| Disciplina | 333.7313 |
| Collana | Springer Remote Sensing/Photogrammetry |
| Soggetto topico |
Remote sensing
Regional planning Urban planning Air pollution Physical geography Climate change Energy policy Energy and state Remote Sensing/Photogrammetry Landscape/Regional and Urban Planning Atmospheric Protection/Air Quality Control/Air Pollution World Regional Geography (Continents, Countries, Regions) Climate Change/Climate Change Impacts Energy Policy, Economics and Management |
| ISBN | 3-319-67474-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Preface -- Part 1: Regional Initiatives -- Chapter 1. SARI -- Chapter 2. SERVIR: Connecting Earth Observation Satellite data to local science applications -- Part 2: Greenhouse Gas Emissions, Biomass burning pollution and Impacts -- Chapter 3. Emission of toxic air pollutants and greenhouse gases from crop residue open burning in Southeast Asia -- Chapter 4. Impacts of biomass burning emissions on tropospheric NO2 vertical column density over continental Southeast Asia -- Chapter 5. Observations of Asian dust and agricultural fire smoke episodes: transport and impacts on regional air quality in southeast China -- Chapter 6. Spatio-temporal analysis of land and forest fire in Indonesia using MODIS active fire dataset -- Chapter 7. Severe air pollution due to peat fire during 2015 Super El Niño in Central Kalimantan, Indonesia -- Chapter 8. Forest and Land Fire in Riau Province concessions: a Case study in fire-prevention policy implementation with local concession holders -- Chapter 9. Biomass burning emissions variation from satellite-derived land cover, burned area, and emission factors in Vietnam -- Chapter 10. Enhancement of Fire Early Warning System in Vietnam using Spatial Data and Assimilation -- Chapter 11. Greenhouse gas budget of terrestrial ecosystems in Monsoon Asia: a process-based model study for the period 1901–2014 -- Chapter 12. Simulations of Emissions, Air Quality, and climate contribution in Southeast Asia for March and December -- Chapter 13. Study on lower tropospheric ozone over central and eastern China: Comparison of satellite observation with model simulation -- Chapter 14. Multi-scale simulations of atmospheric pollutants using a non-hydrostatic icosahedral atmospheric model -- Chapter 15. Project MANTRA: Multi-platform ANalysis of TRace gases and Aerosols with a focus on Atmospheric CO2 Measurements for Southeast Asia -- Chapter 16. Dry Deposition of Reactive Nitrogen species in Tropics -- Part 3: Aerosol Pollution -- Chapter 17. Aerosols and Climate Change: Present Understanding, Challenges and Future Outlook -- Chapter 18. Organic Aerosols in South and East Asia: Composition and Sources -- Chapter 19. Shortwave Radiation, Climate Change, and Anthropogenic Aerosols in China -- Chapter 20. Conceptualizing How Severe Haze Events Are Impacting Long-Term Satellite-Based Trend Studies of Aerosol Optical Thickness over Asia -- Chapter 21. Aerosol Properties Over Kuching, Sarawak from Satellite and Ground-based Measurement. Chapter 22 -- Investigating the aerosol type and spatial distribution during winter fog conditions over Indo-Gangetic Plains -- Chapter 23. Satellite Aerosol Optical Depth over Vietnam, an analysis from VIIRS and CALIOP aerosol products -- Chapter 24. Satellite remote sensing of aerosols and gaseous pollution over Pakistan -- Part 4: Land Use/Cover Change and Impacts -- Chapter 25. The impact of Land cover and land use change on the Indian monsoon region Hydroclimate -- Chapter 26. Decadal Land-cover Changes in China and Their Impacts on the Atmospheric Environment -- Chapter 27. Analyzing the influence of urban growth on thermal environment through demographic, environmental and physical parameters in Bangladesh -- Chapter 28. Ecosystem carbon stock, atmosphere and food security in slash-and-burn land use -- Chapter 29. Spatial Modeling of Land Use/Land Cover Change and its Effects on Hydrology within the Lower Mekong Basin -- Chapter 30. Land-Atmosphere Interactions In South Asia: A Regional Earth Systems Perspective. |
| Record Nr. | UNINA-9910299385803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Remote sensing of agriculture and land cover/land use changes in South and Southeast Asian countries / / edited by Krishna Prasad Vadrevu [and three others]
| Remote sensing of agriculture and land cover/land use changes in South and Southeast Asian countries / / edited by Krishna Prasad Vadrevu [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (618 pages) |
| Disciplina | 630.2085 |
| Soggetto topico |
Agricultural innovations
Agriculture - Remote sensing Land cover |
| ISBN | 3-030-92365-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910556889103321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Vegetation Fires and Pollution in Asia / / edited by Krishna Prasad Vadrevu, Toshimasa Ohara, Chris Justice
| Vegetation Fires and Pollution in Asia / / edited by Krishna Prasad Vadrevu, Toshimasa Ohara, Chris Justice |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (609 pages) |
| Disciplina |
069
363.3790954 |
| Soggetto topico |
Earth sciences
Natural disasters Geographic information systems Atmospheric science Physical geography Biogeography Earth Sciences Natural Hazards Geographical Information System Atmospheric Science Earth System Sciences Biogeosciences |
| Soggetto non controllato |
Forests And Forestry
Nature |
| ISBN | 3-031-29916-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Vegetation Fires and Biomass Burning in South/Southeast Asia – An Overview -- Section I: Mapping , Monitoring and Modeling of Vegetation Fires -- 2. Wildfire monitoring using infrared bands and spatial resolution effects -- 3. Status and Drivers of Forest Fires in Myanmar -- 4. Vegetation Fires and Entropy Variations In Myanmar -- 5. Crop residue burning and forest fire emissions in Nepal -- 6. Firewood Burning Dynamics by the Sri Lankan Households: Trends, Patterns, and Implications -- 7. Burnt Area Signal Variations in Agriculture and Forested Landscapes of India - A Case Study Using Sentinel A/B Synthetic Aperture Radar -- 8. Application of Interferometry SAR for Monitoring of Peatland Areas– Case Studies in Indonesia -- 9. Active Fire Monitoring of Thailand and Upper ASEAN by Earth Observation Data: benefits, lessons learned and what still needs to be known -- 10. Detecting Vegetation Regrowth after Fires in Small Watershed Settings Using Remotely Sensed Data and Local Community Participation Approach -- 11. Long-Term Spatiotemporal Distribution of Fire over Maritime Continent and their Responses to Climate Anomalies -- 12. Vegetation Fires in Laos - An Overview -- 13. Vegetation Fires, Fire Radiative Power and Intermediate Fire Occurrence Intensity (IFOI) Hypothesis Testing in Myanmar, Laos and Cambodia -- 14. Analyzing fire behavior and calibrating a fire growth model in a seasonal dry tropical forest area -- Section II: Greenhouse Gas Emissions and Air Pollution -- 15. Spatiotemporally resolved pollutant emissions from biomass burning in Asia -- 16. Twenty-year variations of aerosol optical depth over Asia in relation to anthropogenic and biomass burning emissions -- 17. Light Absorption Properties of Biomass Burning Emissions in Bangladesh: Current State of Knowledge -- 18. Remote Sensing of greenhouse gases and aerosols from agricultural residue burning over Pakistan -- 19. A comparative study of energy, emissions and economic efficiency of various cookstoves in Nepal -- 20. Estimation of Ultrafine Particulate Matter Emissions from Biomass Burning Using Satellite Imaging and Burn Severity -- 21. Characteristics of Transboundary Haze and General Aerosol over Pulau Pinang, Malaysia -- 22. Measurements of atmospheric carbon dioxide emissions from fire-prone peatlands in Central Kalimantan, Indonesia, using ground-based instruments -- 23. Air Pollution Caused by Deep Peatland Fire in Central Kalimantan -- 24. Chemical Speciation of PM0 Emissions from Peat Burning Emission in Central Kalimantan, Indonesia -- 25. GHG emissions estimation from Peatland fires in Indonesia – Review and Importance of Combustion Factor -- 26. Forest Fire Emissions in Equatorial Asia and Their Recent Delay Anomaly in the Dry Season -- Section III: Air Pollution Modeling and Decision Support Systems -- 27. Impact of vegetation fires on regional aerosol black carbon over South and East Asia -- 28. Detection and Modeling of South Asian Biomass Burning Aerosols from both Macro- and Micro-perspective -- 29. Remote sensing of agricultural biomass burning aerosols, gaseous compounds, long-distance transport and impact on air quality -- 30. Agricultural fires in Northeast China: Characteristics, Impacts, and Challenges -- 31. Air Pollution Modelling in Southeast Asia – An Overview -- 32. Trace gases and air quality in Northwestern Vietnam during recurrent biomass burning on the Indochina Peninsula since 0 – Field Observations and Atmospheric Simulations -- 33. Southeast Asian Transboundary Haze in the Southern Philippines, and Meteorological Drivers -- 34. An Operational Fire Danger Rating System for Thailand and Lower Mekong Region: Development, Utilization, and Experiences -- 35. Fires Hotspot Forecasting in Indonesia Using Long Short-Term Memory Algorithm and MODIS Datasets. |
| Record Nr. | UNINA-9910728396103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||