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Vegetation Fires and Pollution in Asia 2023 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 602 pages, kõrgus x laius: 235x155 mm, 231 Illustrations, color; 14 Illustrations, black and white; XXIX, 602 p. 245 illus., 231 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 01-Jun-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031299183
  • ISBN-13: 9783031299186
  • Pehme köide
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  • Formaat: Paperback / softback, 602 pages, kõrgus x laius: 235x155 mm, 231 Illustrations, color; 14 Illustrations, black and white; XXIX, 602 p. 245 illus., 231 illus. in color., 1 Paperback / softback
  • Ilmumisaeg: 01-Jun-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031299183
  • ISBN-13: 9783031299186

Vegetation fires are prevalent in several regions of the world, including South/ Southeast Asia (S/SEA). Fire occurrence and spread are influenced by fuel type, topography, climate, weather, and lightning, among others. In S/SEA, human-initiated fires are responsible for most of the incidents in addition to natural factors. Through biomass burning, vegetation fires can emit large quantities of greenhouse gases and air pollutants such as CO2, CO, NOx, CH4, non-methane hydrocarbons, and other chemical species, including aerosols that can affect air quality and health at both local and regional scales. Moreover, biomass burning pollutants can travel long distances and impact regional climate. Therefore, quantifying vegetation fires and their impacts is critical at different spatial scales. 

This book includes contributions from renowned researchers from the USA and South/ Southeast Asia on various fire-related topics. The contributions resultedfrom several international meetings and workshops organized in Asia as part of the South/ Southeast Asia Research Initiative (SARI) under the NASA Land-Cover/Land-Use Change Program. The book is divided into three sections, each containing multiple contributions: a) Mapping, Monitoring, and Modeling of Vegetation Fires, b) Greenhouse Gas Emissions and Air Pollution, and c) Air Pollution Modeling and Decision Support Systems. These sections are preceded by an introductory chapter by the editors that highlights the latest satellite-derived fire statistics and the current fire situation in S/SEA. This book will be a valuable resource for remote sensing scientists, geographers, ecologists, atmospheric, climate, environmental scientists, including policymakers, and all who wish to advance their knowledge on vegetation fires and emissions in South/Southeast Asia.

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.
Dr. Krishna Prasad Vadrevu is a remote sensing scientist at NASA Marshall Space Flight Center, Huntsville, Alabama, USA. His research focuses on land cover and land-use change (LCLUC) studies, fires, and biomass burning emissions. He has more than 20 years of research experience in satellite remote sensing. He is currently serving as the Deputy Program Manager for the NASA LCLUC Program (lcluc.umd.edu) and leading the South/Southeast Research Initiative (www.sari.umd.edu).

Dr. Toshimasa Ohara is a scientist and Research Director at Center for Environmental Science (CESS) in Saitama, Japan. He has 33 years of research experience in air quality modeling, emission inventories, and pollution research. He is a lead developer for Regional Emission Inventory in Asia (REAS) and one of the highly cited researchers on the emissions. He is currently working on linking top-down and bottom-up approaches for emissions quantification from different sectors in Asia. 



Dr. Christopher Justice is a Professor at the Department of Geographical Sciences, University of Maryland, College Park, USA. He has 40 years of research experience. His current research is on land cover and land-use change and global agricultural monitoring using remote sensing. He is an authority on satellite remote sensing of fires. He serves as Project Scientist for the NASA LCLUC Program, the Land Discipline Lead for the NASA MODIS and the Suomi-NPP VIIRS Science Team. He is the Co-Chair of the GEO Global Agricultural Monitoring initiative (GEOGLAM), Chief Scientist for NASA HARVEST, and Chair of the international Global Observations of Forest and Land Use Dynamics (GOFC-GOLD) program.