These LiDAR data were collected to measure the effect of bark-beetle outbreak on the above-ground forest carbon stocks and to estimate carbon of a beetle-infested forest.
This data series contains 142 Light Detection and Ranging (LiDAR) LAS (version 1.2 format) tiles. The data cover an area of the Challis National Forest near Stanley Idaho. The original LiDAR data was collected by Watershed Sciences, Inc. (WS) on August 4th and 5th, 2010. Ground point classification was done using the command-line tool MCC-LIDAR (http://sourceforge.net/apps/trac/mcclidar/) that incorporates a multiscale curvature algorithm. This algorithm requires two variables: a scale parameter and a threshold parameter. For each of the tiles the scale parameter was 0.66667 and the threshold parameter was 0.07.
Each tile in the dataset includes a supplemental information section with a listing of the LAS headers.
Access constraints: Data will be provided to all who agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. By downloading these data and using them to produce further analysis and/or products, users agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. | Use constraints: Acceptable uses of data provided by Idaho EPSCoR include any academic, research, educational, governmental, recreational, or other not-for-profit activities. Any use of data provided by the Idaho EPSCoR must acknowledge Idaho EPSCoR and the funding source(s) that contributed to the collection of the data. Users are expected to inform the Idaho EPSCoR Office and the PI(s) responsible for the data of any work or publications based on data provided.
EPSCoR Grant number EPS-0814387.
Data and Resources
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POLYGON ((-114.81536865234 44.279031038014, -114.81536865234 44.795869816421, -114.27703857422 44.795869816421, -114.27703857422 44.279031038014))
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Challis National Forest, Idaho, USA
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Wednesday, November 21, 2012 - 00:00
English (United States)
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