five

2010 CU-Boulder Campus and Flatirons

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https://portal.opentopography.org/raster?opentopoID=OTSDEM.052013.26913.1
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NCALM Project. PI: Shane Grigsby, University of Colorado, Boulder. <br>Lidar survey of the CU-Boulder campus as part of a solar energy potential and photovoltaic planning study. The acquisition covers 45 km<sup>2</sup> and includes East Campus, West Campus, and South Campus, as well as portions of the Flatirons and surrounding areas in multiple return, classified points. The CU Environmental Center is using the Lidar data, combined with building footprint vector data from the campus GIS system, to facilitate site selection for new solar arrays. The Lidar data and terrain products enables analysis of insolation using the GRASS GIS implementation of the SOLPOS 2.0 (SOLar POSition and intensity) algorithm developed and maintained by the National Renewable Energy Laboratory (NREL). This allows campus solar sites to take into account day length, position of the sun, seasonal atmospheric effects, orientation and the local shading effects from trees, buildings and other structures.<p><br>Publications associated with this dataset can be found at <a href="http://calm.geo.berkeley.edu/ncalm/dtc.html" target="_blank">NCALM's Data Tracking Center</a></p>

NCALM项目,项目负责人为Shane Grigsby,来自科罗拉多大学波尔德分校。该项目是对科罗拉多大学波尔德分校校园进行激光雷达扫描,旨在研究太阳能潜力及光伏规划。数据采集范围涵盖45平方公里,包括东校区、西校区和南校区,以及弗拉特伊罗斯山及周边地区的多返回点,并对分类点进行标注。科罗拉多大学环境中心正利用激光雷达数据,结合校园GIS系统中的建筑足迹矢量数据,以促进新的太阳能阵列的选址。激光雷达数据和地形产品使得利用美国国家可再生能源实验室(NREL)开发的SOLPOS 2.0(SOLar POSition and intensity)算法在GRASS GIS中的实现,对日照进行分析成为可能。此算法由NREL开发和维护。该算法允许校园太阳能站点考虑日照长度、太阳位置、季节性大气效应、朝向以及树木、建筑和其他结构造成的局部阴影效应。<p><br>与该数据集相关的出版物可在<a href="http://calm.geo.berkeley.edu/ncalm/dtc.html" target="_blank">NCALM数据追踪中心</a>找到。
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