Moscow Mountain -2003remote-sensing imagehttp://cloud.insideidaho.org/data/elevation/lidar/2007_dryCreekWatersheddatasetIdahoIdaho Lidar ConsortiumHorizon'sLight Detection Ranging (LiDAR) has emerged as a promising technology in many disciplines, including geology, forestry, and hydrology (Hudak et al. 2009). Despite a growing body of LiDAR literature, gaps in information on issues related to acquisition and processing of LiDAR data still exist (Gatziolis and Andersen, 2008, Evans et al. 2009). In recent years, various efforts have been made, at state level and beyond, for web-based distribution of raw LiDAR data (e.g. OpenTopography, CLICK) as well as LiDAR-derived products (e.g. INSIDE Idaho). However, proper processing of raw data, and documenting the processing steps in a standard-compliant metadata are essential before LiDAR data and value-added products can be made available to the public domain through data portals. This data provides a demonstration of a LiDAR workflow for NSF Idaho EPSCoR project Water Resources in a Changing Climate. This is collection level metadata for LAS files collected by USDA - Forest Service as a part of a larger project to use LiDAR for forestry application. The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, South Dakota. Lidar instrument was flown with Leica ALS40 over the period of Aug, 13-14, 2003. The data were delivered in ASCII format with information on return number, easting, northing, elevation and intensity for each return. 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 modes 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 one contiguous blocks totaling 32708 hectares in Moscow Mountain, Moscow, north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.To use LiDAR in support of natural resource research and management applications.20030813unknownground conditionIrregular529155.17431497942.174315193714.313315178295.313317751517mISO 19115 Topic CategoryElevationLidarNoneLiDARLAS fileGeographic Names Information SystemMoscow MountainProper credit to Idaho LiDAR ConsortiumUSDA Forest Service - RMRS - Moscow Forestry Sciences LaboratoryRob Liebermann1221 South Main StreetMoscowID83843USAMoscow MountainPublicMicrosoft Windows 7; ESRI ArcCatalog 9.3.1.3000noneground conditionNoneNoneData collation.None20030814NoneHorizon'smailing address3600 Jet DriveRapid CitySouth DakotaUSAsales@fugrohorizons.comUSDA - Forest Service, Moscow, IDEder Paulo Moreira1. Convertion of ASCII to LAS format; 2. LiDAR Point Cloud Classification using Multiscale Curvature Classification algorithm.10/11/2010Eder Paulo MoreiraUSDA Forest Service - RMRS - Moscow Forestry Sciences Laboratory1221 South Main StreetMoscowID83843USA1. Canopy Height Calculations; 2. Conversion of LAS to ESRI Shaperfile; 3. Intersection of the data with 20 meters m x 20 m polygons; 4. Exporting ESRI Shaperfile to ASCII format; 5. Metrics Calculations; 6. Conversion of ASCII to Shaperfile; 7. Conversion of Shaperfile to Raster.RasterGrid Cell31213154191120m20mGRIDUniversal Transverse Mercator110.999600500000.0000000.000000coordinate pairmetersNorth American Datum of 1983Geodetic Reference System 80North American Vertical Datum of 1988metersExplicit elevation coordinate included with horizontal coordinatesCollege of Natural ResourcesLinda TedrowRemote Sensing Specialistmailing addressMoscowID83843USA208-301-4945Downloadable DataAlthough these data have been processed successfully on a University of Idaho computer system, no warranty, expressed or implied, is made regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty.0.000None04/14/201104/14/2011USDA Forest Service - Rocky Mountain Research StationEder Paulo Moreiramailing and physical address1221 South Main StreetMoscowID83843USAFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeNoneNone<http://www.esri.com/metadata/esriprof80.html>ESRI Profile of the Content Standard for Digital Geospatial MetadataEnglish201106152015540020110615