1. ERDC Knowledge Core
  2. Engineer Research and Development Center (ERDC)
  3. Geospatial Research Laboratory (GRL) (formerly Topographic Engineering Center (TEC))
  4. Publication
  5. Technical Report
Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/34072
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dc.contributor.authorFeliciano-Cruz, Luisa I.-
dc.contributor.authorBecker, Sarah J.-
dc.contributor.authorLasko, Kristofer D.-
dc.contributor.authorDaughtry, Craig S.T.-
dc.contributor.authorRuss, Andrew L.-
dc.date.accessioned2019-09-13T17:40:42Z-
dc.date.available2019-09-13T17:40:42Z-
dc.date.issued2019-09-
dc.identifier.govdocERDC/GRL TR-19-1-
dc.identifier.urihttps://hdl.handle.net/11681/34072-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/34072-
dc.descriptionTechnical Report-
dc.description.abstractForest 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.en_US
dc.description.sponsorshipUnited States. Army. Corps of Engineers.en_US
dc.description.tableofcontentsAbstract ..................................................................................................................................................... ii Figures and Tables .................................................................................................................................. iv Preface ...................................................................................................................................................... v Unit Conversion Factors .......................................................................................................................... vi Acronyms and Abbreviations ................................................................................................................. vii 1 Introduction ...................................................................................................................................... 1 1.1 Objective .......................................................................................................................... 1 1.2 Approaches ..................................................................................................................... 2 1.2.1 Index-based approaches ........................................................................................... 2 1.2.2 Classification-based approaches ............................................................................... 2 1.3 Scope ............................................................................................................................... 2 2 Project Background and Description .............................................................................................. 3 3 Project Methodologies ..................................................................................................................... 5 3.1 Landsat-7 FCI workflow and accuracy assessment from purposive sampling of vegetation regions of interest (ROI) ........................................................................... 5 3.2 Stratified-random points accuracy assessment ........................................................... 7 4 FCI Results and Accuracy Assessments ......................................................................................... 9 5 Discussion ...................................................................................................................................... 11 6 Conclusions .................................................................................................................................... 12 References............................................................................................................................................. 13 Appendix A: Confusion Matrix for Landsat-7, 16 August 2012, Calculated With ENVI Classic ............................................................................................................................................ 15 Report Documentation Page-
dc.format.extent26 pages / 3.057 Mb-
dc.format.mediumPDF-
dc.language.isoen_USen_US
dc.publisherGeospatial Research Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TR-19-1-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectTreesen_US
dc.subjectForest cover indicesen_US
dc.subjectLand cover--Remote sensingen_US
dc.subjectRemote-sensing imagesen_US
dc.subjectMultispectral imagingen_US
dc.titleForest Cover Index for tree cover detection using Landsat-7 multispectral imageryen_US
dc.typeReporten_US
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