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Title: Forest Cover Index for tree cover detection using Landsat-7 multispectral imagery
Authors: Feliciano-Cruz, Luisa I.
Becker, Sarah J.
Lasko, Kristofer D.
Daughtry, Craig S.T.
Russ, Andrew L.
Keywords: Trees
Forest cover indices
Land cover--Remote sensing
Remote-sensing images
Multispectral imaging
Publisher: Geospatial Research Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TR-19-1
Abstract: Forest cover monitoring using satellite imagery is important to U.S. military terrain analysis. Mobility models, cover and concealment, and precise surface feature delineation all rely on an accurate forest/non-forest cover layer. However, the challenge remains in distinguishing trees from other vegetative land covers when relying on single date imagery. A Forest Cover Index (FCI) algorithm was previously developed on Worldview-2 imagery and was designed to separate forest cover from non-forest covered areas. In this research, the FCI algorithm was applied to Landsat-7 imagery using the analogous red (636–673 nanometers (nm)) and near-infrared bands (851–878 nm) from a peak summer image on 16 August 2012. The results obtained with Landsat-7 imagery proved satisfactory with an overall accuracy (tree cover versus non-tree cover) of > 83 percent, according to testing with two different accuracy assessment tests. The application of the FCI to Landsat-7 imagery broadens the applicability of the FCI to freely available imagery.
Description: Technical Report
Gov't Doc #: ERDC/GRL TR-19-1
Rights: Approved for Public Release; Distribution is Unlimited
Appears in Collections:Technical Report

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