NDLI: Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data

Content Provider	Springer Nature Link
Author	Frohn, Robert C. Reif, Molly Lane, Charles Autrey, Brad
Copyright Year	2009
Abstract	There has been an increasing interest in characterizing and mapping isolated depressional wetlands due to a 2001 U.S. Supreme Court decision that effectively removed their protected status. Our objective was to determine the utility of satellite remote sensing to accurately detect isolated wetlands. Image segmentation and object-oriented analysis were applied to Landsat-7 imagery from January and October 2000 to map isolated wetlands in the St. Johns River Water Management District of Alachua County, Florida. Accuracy for individual isolated wetlands was determined based on the intersection of reference and remotely sensed polygons. The January data yielded producer and user accuracies of 88% and 89%, respectively, for isolated wetlands larger than 0.5 acres (0.20 ha). Producer and user accuracies increased to 97% and 95%, respectively, for isolated wetlands larger than 2 acres (0.81 ha). Recently, the Federal Geographic Data Committee recommended that all U.S. wetlands 0.5 acres (0.20 ha) or larger should be mapped using 1-m aerial photography with an accuracy of 98%. That accuracy was nearly achieved in this study using a spatial resolution that is 900 times coarser. Satellite remote sensing provides an accurate, relatively inexpensive, and timely means for classifying isolated depressional wetlands on a regional or national basis.
Starting Page	931
Ending Page	941
Page Count	11
File Format	PDF
ISSN	02775212
Journal	Wetlands
Volume Number	29
Issue Number	3
e-ISSN	19436246
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-01-01
Publisher Institution	Society of Wetland Scientists
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	detection imagery mapping segmentation Freshwater & Marine Ecology Environmental Management Ecology Hydrogeology Coastal Sciences Landscape Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology Environmental Chemistry

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