Wetland mapping in the Upper Midwest United States: an object-based approach integrating lidar and imagery data

An object-based approach integrating lidar and imagery data

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23 Citations (Scopus)

Abstract

This study investigated the effectiveness of using high resolution data to map wetlands in three ecoregions in Minnesota. High resolution data included multispectral leaf-off aerial imagery and lidar elevation data. These data were integrated using an Object-Based Image Analysis (OBIA) approach. Results for each study area were compared against field and image interpreted reference data using error matrices, accuracy estimates, and the kappa statistic. Producer's and user's accuracies were in the range of 92 to 96 percent and 91 to 96 percent, respectively, and overall accuracies ranged from 96-98 percent for wetlands larger than 0.20 ha (0.5 acres). The results of this study may allow for increased accuracy of mapping wetlands efforts over traditional remote sensing methods.

Original languageEnglish (US)
Pages (from-to)439-448
Number of pages10
JournalPhotogrammetric Engineering and Remote Sensing
Volume80
Issue number5
DOIs
StatePublished - May 2014

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Optical radar
Wetlands
lidar
imagery
wetland
Image analysis
Remote sensing
Statistics
Antennas
ecoregion
image analysis
remote sensing
matrix

Cite this

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