Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/8549
Title: Using high spatial resolution digital imagery
Authors: Cold Regions Research and Engineering Laboratory (U.S.)
Information Technology Laboratory (U.S.)
Geospatial Technology Research and Development Program (U.S.)
Campbell, Michael V.
Fischer, Robert L.
Pangburn, Timothy.
Hardenberg, Mark J.
Keywords: Digital image processing
High spatial resolution
Hyperspectral
Invasive species mapping
Multispectral
Remote sensing
Wetlands mapping
Data processing
Publisher: U.S. Army Topographic Engineering Center.
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC TR ; 05-1.
Description: Technical Report
Abstract: This document is the culmination of over 3 years worth of applied research. The overall objective of this multi-year investigation was to assess the utility of high spatial resolution digital imagery to Corps civil works operations. The sources of remotely sensed data used in this research effort include digital airborne multispectral imaging technology, digital airborne hyperspectral imaging technology, and digital satellite multispectral images. System selection was based on the anticipated benefits derived from the acquisition and processing of the unique high spatial resolution images, from each remotely sensed data source, at each independent study site. The project developed and implemented four applications to evaluate the use of high resolution digital remotely sensed data in standard Corps operations. This document summarizes the four projects. The intended audience for this document includes natural resource managers, biologists, ecologists, GIS specialists, and others that are already using or are potentially planning to use high spatial resolution digital remotely sensed imagery for current or future projects. The image and map products, including both raster and vector formatted data, are not provided with this report. The authors can provide the reader access to all of the imagery and final maps.
Rights: Approved for public release; distribution is unlimited.
URI: http://hdl.handle.net/11681/8549
Appears in Collections:Technical Report

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