Titlebook: Land-Atmospheric Research Applications in South and Southeast Asia; Krishna Prasad Vadrevu,Toshimasa Ohara,Chris Justi Book 2018 This is a

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Spatio-Temporal Analysis of Land and Forest Fires in Indonesia Using MODIS Active Fire Dataset fire as a land clearing tool, converting forests to agriculture and plantations. In this study, we use descriptive statistics to analyze fires from 2006 to 2015 using MODIS satellite data. Specifically, spatio-temporal patterns of fires have been analyzed in all provinces, forest types, peatlands,

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Forest and Land Fires in Riau Province: A Case Study in Fire Prevention Policy Implementation with Lment policies were implemented to minimize forest and land fire such as through constitution, government policy, President’s policy, Ministry of forestry policy, Ministry of Agriculture policy, and Director General policy. The regulations mandated that every permit owner both in forestry and plantat

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Biomass Burning Emissions Variation from Satellite-Derived Land Cover, Burned Area, and Emission FacIS-based burned area (BA), as well as global and regionally - averaged emission factors. The products and resulting emissions were compared for 3 years (2006–2008) in Vietnam. They were compared at four spatial scales including: (1) country level; (2) region level; (3) land cover; and (4) grid-cell

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Enhancement of Fire Early Warning System in Vietnam Using Spatial Data and Assimilationre risk can be mapped at varied spatial scales integrating multiple datasets. In Vietnam, forest protection department (FPD) leads the forest and fire management activities. FPD routinely generates fire early warning maps at a district level that depict fire risk varying from level I to level V with

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Multi-scale Simulations of Atmospheric Pollutants Using a Non-hydrostatic Icosahedral Atmospheric Moa global cloud-system-resolving model (NICAM-Chem). The model can simulate air pollutants with various grid sizes ranging from global low resolution (~200?km) on yearly scales to regional high resolution (~10?km) on monthly scales and global high resolution (<10?km) on weekly scales. To date, we hav

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