Global_NonFloodplain_Wetlands
Here, we provide the first global geodatabase of non-floodplain wetlands. We incorporate the recent development of a high-resolution global floodplain mapping algorithm based on digital terrain models by Nardi et al. (2019). We couple these spatial floodplain data with higher-resolution modifications to the gridded global wetland and open water data layers developed by Tootchi et al. (2019) that incorporates the Pekel et al. (2016) satellite-based inundation product, modeled groundwater-driven wetland extent (Fan et al. 2013), and ancillary satellite landcover data from Herold et al. (2015). We test the applicability of our global database of non-floodplain wetlands in 21 large and spatial-data rich watersheds across the CONUS. This novel global product identifying non-floodplain wetlands provides for the quantification and estimation of the locations and extent of important aquatic systems with abundant hydrological, biogeochemical, and biological functions, filling a noted research gap while delivering useful data for informed natural resource decision-making and management (Creed et al. 2017, Lane et al. 2022).
This dataset is associated with the following publication:
Lane, C., E. D'Amico, J. Christensen, H. Golden, Q. Wu, and A. Rajib. Mapping global non-floodplain wetlands. Earth System Science Data. Copernicus Publications, Katlenburg-Lindau, GERMANY, 15(7): 2927–2955, (2023).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Charles Lane",
"hasEmail": "mailto:lane.charles@epa.gov"
}
|
| description | Here, we provide the first global geodatabase of non-floodplain wetlands. We incorporate the recent development of a high-resolution global floodplain mapping algorithm based on digital terrain models by Nardi et al. (2019). We couple these spatial floodplain data with higher-resolution modifications to the gridded global wetland and open water data layers developed by Tootchi et al. (2019) that incorporates the Pekel et al. (2016) satellite-based inundation product, modeled groundwater-driven wetland extent (Fan et al. 2013), and ancillary satellite landcover data from Herold et al. (2015). We test the applicability of our global database of non-floodplain wetlands in 21 large and spatial-data rich watersheds across the CONUS. This novel global product identifying non-floodplain wetlands provides for the quantification and estimation of the locations and extent of important aquatic systems with abundant hydrological, biogeochemical, and biological functions, filling a noted research gap while delivering useful data for informed natural resource decision-making and management (Creed et al. 2017, Lane et al. 2022). This dataset is associated with the following publication: Lane, C., E. D'Amico, J. Christensen, H. Golden, Q. Wu, and A. Rajib. Mapping global non-floodplain wetlands. Earth System Science Data. Copernicus Publications, Katlenburg-Lindau, GERMANY, 15(7): 2927–2955, (2023). |
| distribution |
[
{
"title": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Global_NonFloodplain_Wetlands/",
"accessURL": "https://dmap-prod-oms-edc.s3.us-east-1.amazonaws.com/index.html#ORD/Global_NonFloodplain_Wetlands/"
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|
| identifier | https://doi.org/10.23719/1528331 |
| keyword |
[
"Landscape",
"Non-floodplain wetlands",
"Watershed",
"wetland management"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2022-11-22 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.5194/essd-15-2927-2023",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569017"
]
|
| rights |
null
|
| title | Global_NonFloodplain_Wetlands |