Isolating Anthropogenic Wetland Loss by Concurrently Tracking Inundation and Land Cover Disturbance across the Mid-Atlantic Region, U.S.
Chesapeake Bay
Landsat
harmonic regression
permit
surface water
wetland fill
Journal
Remote sensing
ISSN: 2072-4292
Titre abrégé: Remote Sens (Basel)
Pays: Switzerland
ID NLM: 101624426
Informations de publication
Date de publication:
05 May 2020
05 May 2020
Historique:
entrez:
30
7
2021
pubmed:
5
5
2020
medline:
5
5
2020
Statut:
ppublish
Résumé
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 km
Identifiants
pubmed: 34327008
doi: 10.3390/rs12091464
pmc: PMC8318154
mid: NIHMS1594385
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1464Subventions
Organisme : Intramural EPA
ID : EPA999999
Pays : United States
Déclaration de conflit d'intérêts
Conflicts of Interest: The authors declare no conflict of interest.
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