{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T05:03:58Z","timestamp":1787029438017,"version":"3.56.0"},"reference-count":86,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,5,5]],"date-time":"2020-05-05T00:00:00Z","timestamp":1588636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EPA Region 3 and Region 3 RARE Program","award":["DW-014-92508001"],"award-info":[{"award-number":["DW-014-92508001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u2019s Dynamic Surface Water Extent (DSWE) algorithm. Annual (2015\u20132018) 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.<\/jats:p>","DOI":"10.3390\/rs12091464","type":"journal-article","created":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T03:10:38Z","timestamp":1588821038000},"page":"1464","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S."],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0101-5533","authenticated-orcid":false,"given":"Melanie K.","family":"Vanderhoof","sequence":"first","affiliation":[{"name":"Geosciences and Environmental Change Science Center, U.S. Geological Survey, Denver, CO 80225, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jay","family":"Christensen","sequence":"additional","affiliation":[{"name":"Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH 45220, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yen-Ju G.","family":"Beal","sequence":"additional","affiliation":[{"name":"Geosciences and Environmental Change Science Center, U.S. Geological Survey, Denver, CO 80225, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2136-3401","authenticated-orcid":false,"given":"Ben","family":"DeVries","sequence":"additional","affiliation":[{"name":"Department of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, Canada"},{"name":"Department of Geographical Sciences, University of Maryland, College Park, MD 20740, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Megan W.","family":"Lang","sequence":"additional","affiliation":[{"name":"National Wetlands Inventory Program, U.S. Fish and Wildlife Service, Falls Church, VA 22041, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nora","family":"Hwang","sequence":"additional","affiliation":[{"name":"Region 5, Water Division, Wetlands Section, U.S. Environmental Protection Agency, Chicago, IL 60604, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christine","family":"Mazzarella","sequence":"additional","affiliation":[{"name":"Region 3, Water Division, Wetlands Branch, U.S. Environmental Protection Agency, Philadelphia, PA 19103, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6117-3691","authenticated-orcid":false,"given":"John W.","family":"Jones","sequence":"additional","affiliation":[{"name":"Hydrologic Remote Sensing Branch, U.S. Geological Survey, Leetown, WV 25430, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1111\/j.1365-2427.2005.01352.x","article-title":"Conflicting demands on wetland ecosystem services: Nutrient retention, biodiversity or both?","volume":"50","author":"Hansson","year":"2005","journal-title":"Freshw. 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