Rusty Griffin
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Rusty Griffin has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Chengquan Huang
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
1 shared publication - Gregory W. McCarty
Hydrology and Remote Sensing Laboratory, USDA-ARS, Beltsville, MD 20705, USA
1 shared publication - Jeffrey C. Ingebritsen
U.S. Fish and Wildlife Service, National Wetlands Inventory, Madison, WI 53711, USA
1 shared publication - Jiaming Lu
School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
1 shared publication - Ling Du
Department of Environmental Science & Technology University of Maryland (UMD) College Park Maryland USA
1 shared publication - Megan W. Lang
U.S. Fish and Wildlife Service, National Wetlands Inventory, Falls Church, VA 22041, USA
1 shared publication
Latest Publications
- Open Access
- 18 August 2023
- Published by MDPI AG in Remote Sensing
- Vol. 15 (16) , 4075
Use of High-Resolution Land Cover Maps to Support the Maintenance of the NWI Geospatial Dataset: A Case Study in a Coastal New Orleans Region
The National Wetlands Inventory (NWI) is the most comprehensive wetland geospatial dataset in the United States. However, it can be time-consuming and costly to maintain. This study introduces automated algorithms and methods to support NWI maintenance. Through a wall-to-wall comparison between NWI and Coastal Change Analysis Program (C-CAP) datasets, a pixel-level difference product was generated at 1 m resolution. Building upon this, supplementary attributes describing wetland changes were incorporated into each NWI polygon. Additionally, new water polygons were extracted from C-CAP data, and regional statistics regarding wetland changes were computed for HUC12 watersheds. The 1 m difference product can indicate specific wetland change locations, such as wetland loss to impervious surfaces, the gain of open water bodies from uplands, and the conversion of drier vegetated wetlands to open water. The supplementary attributes can indicate the amount and percentage of wetland loss or water regime change for NWI polygons. Extracted new water polygons can serve as preliminary materials for generating NWI standard-compliant products, expediating NWI maintenance processes while reducing costs. Regional statistics of wetland change can help target watersheds with the most significant changes for maintenance, thereby reducing work areas. The approaches we present hold significant value in supporting NWI maintenance.
- 18 August 2023
- Published by MDPI AG in Remote Sensing
- Vol. 15 (16) , 4075
Open AccessUse of High-Resolution Land Cover Maps to Support the Maintenance of the NWI Geospatial Dataset: A Case Study in a Coastal New Orleans Region
The National Wetlands Inventory (NWI) is the most comprehensive wetland geospatial dataset in the United States. However, it can be time-consuming and costly to maintain. This study introduces automated algorithms and methods to support NWI maintenance. Through a wall-to-wall comparison between NWI and Coastal Change Analysis Program (C-CAP) datasets, a pixel-level difference product was generated at 1 m resolution. Building upon this, supplementary attributes describing wetland changes were incorporated into each NWI polygon. Additionally, new water polygons were extracted from C-CAP data, and regional statistics regarding wetland changes were computed for HUC12 watersheds. The 1 m difference product can indicate specific wetland change locations, such as wetland loss to impervious surfaces, the gain of open water bodies from uplands, and the conversion of drier vegetated wetlands to open water. The supplementary attributes can indicate the amount and percentage of wetland loss or water regime change for NWI polygons. Extracted new water polygons can serve as preliminary materials for generating NWI standard-compliant products, expediating NWI maintenance processes while reducing costs. Regional statistics of wetland change can help target watersheds with the most significant changes for maintenance, thereby reducing work areas. The approaches we present hold significant value in supporting NWI maintenance.