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https://hdl.handle.net/11681/34072| 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 |
| URI: | https://hdl.handle.net/11681/34072 http://dx.doi.org/10.21079/11681/34072 |
| Size: | 26 pages / 3.057 Mb |
| Types of Materials: | |
| Appears in Collections: | Technical Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-GRL TR-19-1.pdf | 3.13 MB | Adobe PDF |  View/Open |