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首页> 外文期刊>Journal of Applied Remote Sensing >Remote-sensing application for facilitating land resource assessment and monitoring for utility-scale solar energy development
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Remote-sensing application for facilitating land resource assessment and monitoring for utility-scale solar energy development

机译：遥感应用程序可促进土地资源评估和监测，以用于公用事业规模的太阳能开发

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摘要

A monitoring plan that incorporates regional datasets and integrates cost-effective data collection methods is necessary to sustain the long-term environmental monitoring of utility-scale solar energy developments in expansive, environmentally sensitive desert regions. An image processing routine using very high spatial resolution (VHSR; i.e., 15 cm) multispectral imagery collected in November 2012 and January 2014 was developed to characterize ephemeral streams, vegetation, and land surfaces in the southwestern United States, where increased utility-scale solar development is anticipated. In addition to information about desert landscapes, the methodology integrates existing spectral indices and transformations (e.g., visible atmospherically resistant index and principal components); a new index called the erosion resistance index (ERI); and digital terrain and surface models, all of which were derived from a common VHSR image. The methodology identified fine-scale ephemeral streams at greater detail than does the National Hydrography Dataset, and it accurately estimated the distribution of vegetation and the fractional cover of various surface types. The ERI classified surface types that have a range of erosive potentials. The remote-sensing methodology could ultimately reduce uncertainty and monitoring costs for all stakeholders by providing a cost-effective monitoring approach that accurately characterizes the land resources at potential development sites. (C) The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License.
机译：必须有一个包含区域数据集并集成有成本效益的数据收集方法的监控计划，以维持对广阔的，环境敏感的沙漠地区公用事业规模太阳能发展的长期环境监测。开发了使用2012年11月和2014年1月收集的非常高的空间分辨率（VHSR;即15 cm）多光谱图像的图像处理程序，以表征美国西南部短暂的溪流，植被和陆地表面，在该处增加了公用事业规模的太阳能有望发展。除了有关沙漠景观的信息外，该方法还整合了现有的光谱指数和转换（例如，可见的耐大气指数和主要成分）;一个新的指数，称为耐蚀指数（ERI）;以及数字地形和地表模型，所有这些都是从共同的VHSR图像得出的。该方法比国家水文数据集更详细地识别了细小规模的临时河流，并且可以准确地估计植被分布和各种地表类型的覆盖率。 ERI对具有一定侵蚀力范围的表面类型进行了分类。遥感方法可以通过提供一种具有成本效益的监测方法来准确地表征潜在开发地点的土地资源，从而最终减少所有利益相关者的不确定性和监测成本。 （C）作者。由SPIE根据Creative Commons Attribution 3.0 Unported License发布。

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