DOI: http://dx.doi.org/10.5069/G9F18WNM
OT Collection ID: OT.042012.26911.7
Dataset Name: Idaho LiDAR Consortium (ILC): Nez Perce Reservation
Short Name: ILC02_Nez
Collection Platform: Airborne LiDAR

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Dataset Overview: The lidar survey was conducted by vendor Spencer B. Gross, 13545 NW Science Park dr.,97229, Portland, OR. Lidar instrument Leica ALS40 was flown over the period of 13 and 26 July 2002. The primary goal of the study is to provide operational implementation of LiDAR technology in support of project level planning. The proposed applications of LiDAR in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of LiDAR technology. The technical specifications have been defined to specifically support vegetation modeling using LiDAR data. The project area consists of four blocks totaling 24, 729 hectares in Nez Perce Reservation, which is located in central Idaho and is a land of beautiful rivers and steep mountains.The data were delivered in ASCII format with information on easting, northing and elevation for each LiDAR pulse. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). Evans, J.S., and A.T. Hudak. (2007) A multiscale curvature algorithm for classifying discrete return lidar in forested environments. IEEE Transactions on Geoscience and Remote Sensing 45(4): 1029-1038.

Dataset Acknowledgement: Proper credit to Idaho LiDAR Consortium.The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007):Evans, J.S., and A.T. Hudak. (2007) A multiscale curvature algorithm for classifying discrete return lidar in forested environments. IEEE Transactions on Geoscience and Remote Sensing 45(4): 1029-1038. http://dx.doi.org/10.5069/G9F18WNM

Dataset Keywords: Idaho

Survey Date: 07/13/2002 - 07/26/2002

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Data Provider and Roles:
	1. Spencer B. Gross, Inc.
	Role: Collector
	Url: Not Available.

	2. The University of Idaho
	Role: Funder
	Url: http://www.uidaho.edu/

	3. Bureau of Indian Affairs
	Role: Partner
	Url: http://www.bia.gov/

	4. Idaho LiDAR Consortium 
	Role: Partner
	Url: http://www.idaholidar.org/

	5. United States Forest Service Rocky Mountain Research Station
	Role: Partner
	Url: http://www.fs.fed.us/rmrs/


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Total LiDAR Points: 145,508,203 pts

Area: 247.289 km^2

Shot Density: 0.59 pts/m^2

Coordinates System: 
	Horizontal: UTMz11N NAD83  [EPSG: 26911]
	Vertical: NAVD88  [EPSG: 5703]

Survey Report: https://cloud.sdsc.edu/v1/AUTH_opentopography/www/metadata/ILC/ILC09_Nez_metadata.zip

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Download and Access Products: 
	1. Point Cloud Data
		opentopoID: OTLAS.042012.26911.7
		Download and Processing: http://opentopo.sdsc.edu/gridsphere/gridsphere?gs_action=lidarDataset&cid=geonlidarframeportlet&opentopoID=OTLAS.042012.26911.7


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Dataset Extent in KMZ format: https://cloud.sdsc.edu/v1/AUTH_opentopography/www/lidarkmls/point_cloud/ILC09_Nez_bounds.kmz

Dataset Spatial Bounds:
	North: 46.5118°
	South: 46.1403°
	East: -116.1052°
	West: -116.8432°