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Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to maximize detection of forested inundation extent in the Delmarva Peninsula, USA

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Melanie Vanderhoof, Hayley Distler, Di Ana Mendiola, and Megan Lang, 2017, Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to maximize detection of forested inundation extent in the Delmarva Peninsula, USA: Remote Sensing, v. 9, iss. 105.

Summary

Natural variability in surface-water extent and associated characteristics presents a challenge to gathering timely, accurate information, particularly in environments that are dominated by small and/or forested wetlands. This study mapped inundation extent across the Upper Choptank River Watershed on the Delmarva Peninsula, occurring within both Maryland and Delaware. We integrated six quad-polarized Radarsat-2 images, Worldview-3 imagery, and an enhanced topographic wetness index in a random forest model. Output maps were filtered using light detection and ranging (lidar)-derived depressions to maximize the accuracy of forested inundation extent. Overall accuracy within the integrated and filtered model was 94.3%, with 5.5% and 6.0% [...]

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Type Scheme Key
local-index unknown 70181027
local-pk unknown 70181027
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.3390/rs9020105
series unknown Remote Sensing

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journalRemote Sensing
parts
typevolume
value9
typeissue
value105
languageEnglish
citationTypeArticle

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