E-Book, Englisch, 602 Seiten, eBook
Vadrevu / Ohara / Justice Vegetation Fires and Pollution in Asia
1. Auflage 2023
ISBN: 978-3-031-29916-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 602 Seiten, eBook
ISBN: 978-3-031-29916-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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 andLocal 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 andModeling 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.