Next Article in Journal
Fully Convolutional Networks and a Manifold Graph Embedding-Based Algorithm for PolSAR Image Classification
Next Article in Special Issue
Elevation and Climate Effects on Vegetation Greenness in an Arid Mountain-Basin System of Central Asia
Previous Article in Journal
Optimal Soybean (Glycine max L.) Land Suitability Using GIS-Based Multicriteria Analysis and Sentinel-2 Multitemporal Images
Previous Article in Special Issue
Drought Sensitivity and Trends of Riparian Vegetation Vigor in Nevada, USA (1985–2018)
Open AccessArticle

Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S.

1
Geosciences and Environmental Change Science Center, U.S. Geological Survey, Denver, CO 80225, USA
2
Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH 45220, USA
3
Department of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, Canada
4
Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA
5
National Wetlands Inventory Program, U.S. Fish and Wildlife Service, Falls Church, VA 22041, USA
6
Region 5, Water Division, Wetlands Section, U.S. Environmental Protection Agency, Chicago, IL 60604, USA
7
Region 3, Water Division, Wetlands Branch, U.S. Environmental Protection Agency, Philadelphia, PA 19103, USA
8
Hydrologic Remote Sensing Branch, U.S. Geological Survey, Leetown, WV 25430, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(9), 1464; https://doi.org/10.3390/rs12091464
Received: 26 March 2020 / Revised: 30 April 2020 / Accepted: 1 May 2020 / Published: 5 May 2020
Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover disturbance and inundation extent across the Mid-Atlantic region, United States, using the Landsat archive in Google Earth Engine. Disturbance was identified as a change in greenness, using a harmonic linear regression approach, or as a change in growing season brightness. Inundation extent was mapped using a modified version of the U.S. Geological Survey’s Dynamic Surface Water Extent (DSWE) algorithm. Annual (2015–2018) disturbance averaged 0.32% (1095 km2 year-1) of the study area per year and was most common in forested areas. While inundation extent showed substantial interannual variability, the co-occurrence of disturbance and declines in inundation extent represented a minority of both change types, totaling 109 km2 over the four-year period, and 186 km2, using the National Wetland Inventory dataset in place of the Landsat-derived inundation extent. When the annual products were evaluated with permitted wetland and stream fill points, 95% of the fill points were detected, with most found by the disturbance product (89%) and fewer found by the inundation decline product (25%). The results suggest that mapping inundation alone is unlikely to be adequate to find and track anthropogenic wetland loss. Alternatively, remotely tracking both disturbance and inundation can potentially focus efforts to protect, manage, and restore wetlands. View Full-Text
Keywords: Chesapeake Bay; wetland fill; harmonic regression: Landsat; permit; surface water Chesapeake Bay; wetland fill; harmonic regression: Landsat; permit; surface water
Show Figures

Graphical abstract

MDPI and ACS Style

Vanderhoof, M.K.; Christensen, J.; Beal, Y.-J.G.; DeVries, B.; Lang, M.W.; Hwang, N.; Mazzarella, C.; Jones, J.W. Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S. Remote Sens. 2020, 12, 1464. https://doi.org/10.3390/rs12091464

AMA Style

Vanderhoof MK, Christensen J, Beal Y-JG, DeVries B, Lang MW, Hwang N, Mazzarella C, Jones JW. Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S. Remote Sensing. 2020; 12(9):1464. https://doi.org/10.3390/rs12091464

Chicago/Turabian Style

Vanderhoof, Melanie K.; Christensen, Jay; Beal, Yen-Ju G.; DeVries, Ben; Lang, Megan W.; Hwang, Nora; Mazzarella, Christine; Jones, John W. 2020. "Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S." Remote Sens. 12, no. 9: 1464. https://doi.org/10.3390/rs12091464

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop