MangroveCarbon is a GIS-based analysis tool for the spatially explicit estimation of mangrove biomass and carbon based on NASA Shuttle Radar Topographic Mission (SRTM) canopy height data and mangrove coverage data from US Geological Survey (USGS). The objective in developing this application was to facilitate relative comparisons of mangrove biomass and carbon stocks at regional or national levels. The tool provides a convenient basis for planning and assessments in Africa.
The MangroveCarbon tool was developed using ESRI ArcGIS and Python. Using this GIS-based tool, cell- and class-level mangrove biomass and carbon can be derived. This GIS-based tool supports the estimation of mangrove metrics within either a single region (e.g., a country) or across multiple sub-regions. The MangroveCarbon tool was developed at the Center for Applied Geographic Information Science at the University of North Carolina at Charlotte.
Dr. Carl C. Trettin (from US Forest Service, Center for Forested Wetlands Research, Southern Research Station)
The current version of MangroveCarbon is 1.0. This GIS-based tool is free for non-commercial use only. For commercial use or any other questions, please contact Dr. Wenwu Tang (WenwuTang@uncc.edu). Please refer to http://gis.uncc.edu/mangrove for latest update.
* GIS-based Tool: MangroveCarbon Toolbox 1.0
* User Manual: User Manual for MangroveCarbon Toolbox 1.0
* Input Data: West Africa
* Output Data of Mangrove Biomass and Carbon: West Africa (GIS data and maps are included)
We thank support from U.S. Agency for International Development (USAID) West Africa Mission, which was managed through the International Programs Office of the USDA Forest Service. We appreciate the help from Dr. Marc Simard and Dr. Lola Fatoyinbo, NASA, in the applicaiton of the SRTM data. We also thank Meijuan Jia and Huifang Zuo for their assistance on data processing and analysis design.
* NASA SRTM Data: http://www2.jpl.nasa.gov/srtm/
* USGS Mangrove Coverage Data
* Global Administrative Area (GADM) database: Country boundary
* Tang, W., Feng, W., Jia, M., Shi, J., Zuo, H., and Trettin, C.C., 2016, The assessment of mangrove biomass and carbon in West Africa: A spatially explicit analytical framework. Wetland Ecology and Management. 24(2):153-171
* Fatoyinbo TE, Simard M (2013) Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM International Journal of Remote Sensing 34:668-681 doi:10.1080/01431161.2012.712224
* Fatoyinbo TE, Simard M, Washington-Allen RA, Shugart HH (2008) Landscape-scale extent, height, biomass, and carbon estimation of Mozambique's mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data Journal of Geophysical Research: Biogeosciences 113:G02S06 doi:10.1029/2007JG000551
* Giri C et al. (2011) Status and distribution of mangrove forests of the world using earth observation satellite data Global Ecology and Biogeography 20:154-159 doi:10.1111/j.1466-8238.2010.00584.x
Questions? Contact Dr. Wenwu Tang