five

2m Digital Surface Model From Photogrammetric Data, Niwot Ridge LTER Project Area, Colorado

收藏
DataONE2015-02-28 更新2024-06-27 收录
下载链接:
https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/knb-lter-nwt/725/2
下载链接
链接失效反馈
官方服务:
资源简介:
Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This dataset is a Digital Surface Model (DSM) for the Niwot Ridge Long Term Ecological Research (LTER) project area at 2 m resolution. The DSM is derived from the first reflective surface that was created from 12 micron digital stereo aerial photography. Elevation points were automatically filtered to represent bare earth conditions and then interpolated to a 2 meter raster dataset. A shaded relief model was then generated. The DSM and shaded relief model covers a total area of 98 km2 and is available in Environmental Systems Research Institute's (ESRI's) GRID format for a total dataset size of 125 MB. They share a UTM zone 13 projection, NAD83 horizontal datum and NAVD88 vertical datum, with FGDC-compliant metadata. The DSM is available through an unrestricted public license, and can be obtained online or on DVD by request (see Distributor contact information below). Imagery available in this series includes orthorectified aerial photography for 1953, 1972, 1985, 1990, 1999, 2000, 2002, 2004, 2006 and 2008. Together, the digital elevation models and imagery will be of interest to land managers, scientists, and others for observation and analysis of natural features and ecosystems. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.
创建时间:
2019-04-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作