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Myanmar Ecological Forecasting: Utilizing NASA Earth Observations to Monitor, Map, and Analyze Mangrove Forests in Myanmar for Enhanced ConservationMangroves supply many essential environmental amenities, such as preventing soil erosion, filtering water pollution, and protecting shorelines from harmful waves, floods, storms and winds. The Mangroves in Myanmar not only provide citizens with a food source, but they also offer firewood, charcoal, and construction materials. The depletion of mangroves is threatening more than the biodiversity however; Myanmar's fiscal livelihood is also in harm's way. Mangroves are valued at $100,000 to $277,000 per square kilometer and if managed in a sustainable fashion, can infuse constant income to the emerging Myanmarese economy. This study analyzed three coastline regions, the Ayeyarwady Delta, Rakhine and Tanintharyi, and mapped the spatial extent of mangrove forest during the dry season in 2000 and 2013. The classifications were derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operation Land Imager (OLI) imagery, as well as the Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation model information. This data was atmospherically corrected, mosaicked, masked and classified in ENVI, followed by ArcGIS to perform raster calculations and create final products. Forest degradation collected from 2000 to 2013 was later used to forecast the density and health of Mangroves in the year 2030. These results were subsequently presented to project partners Dr. Peter Leimgruber and Ellen Aiken at the Smithsonian Conservation Biology Institute in Front Royal, VA. After the presentation of the project to the partners, these organizations formally passed on to the Myanmar Ministry of Environment, Conservation and Forestry for policy makers and forest managers to utilize in order to protect the Myanmar mangrove ecosystem while sustaining a healthy economy.
Document ID
20140006912
Acquisition Source
Langley Research Center
Document Type
Contractor Report (CR)
Authors
Weber, Samuel J.
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Keddell, Louis
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Kemal, Mohammed
(Science Systems and Applications, Inc. Greenbelt, MD, United States)
Date Acquired
June 9, 2014
Publication Date
May 1, 2014
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NASA/CR-2014-218274
NF1676L-18958
Funding Number(s)
WBS: WBS 389018.02.15.01.47
CONTRACT_GRANT: NNL11AA00B
Distribution Limits
Public
Copyright
Public Use Permitted.
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