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Lower Illinois River Valley Ecological Forecasting: Inundation Mapping of the Lower Illinois River Valley Using Synthetic Aperture Radar and Optical Satellite Imagery for Wetland Conservation and Restoration Prioritization EffortsThe Lower Illinois River Valley (LIRV) is home to some of the richest agricultural lands in the United States and its wetlands provide key ecosystem services like clean water and flood reduction. It has also experienced extensive degradation due to development and urban pollution. The Great Rivers Land Trust (GRLT), the National Great Rivers Research & Education Center, Principia College, and the American Geophysical Union’s (AGU) Thriving Earth Exchange sought to incorporate inundation and surface water extent layers into their geodatabases to more accurately identify priority areas for wetland restoration. This project aimed to determine the feasibility of detecting inundation extent and duration along the valley using remotely sensed data. We used Sentinel-1 C-band Synthetic Aperture Radar (SAR) data to classify open water and inundated vegetation within the study site. The open water classification was compared to Dynamic Surface Water Extent(DSWE) derived from Landsat 8 Operational Land Imager. We successfully created layers of inundation minimum and maximum extent, as well as inundation duration across the study area for 2019 and 2020. The open water classification resulted in an overall accuracy of 86% when validated against DSWE classifications. These analyses will help end users to identify high priority areas along the LIRV best suited for land conversion projects in the future.
Document ID
20220015309
Acquisition Source
Langley Research Center
Document Type
Other - DEVELOP Summer 2022 technical report
Authors
Vanessa Machuca
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Dana Myers
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Hannah Rigdon
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Christiana Saldana
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Date Acquired
October 12, 2022
Publication Date
August 11, 2022
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 970315.02.02.01.08
CONTRACT_GRANT: NNL16AA05C
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Professional Review
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