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首页> 外文期刊>Ecological informatics: an international journal on ecoinformatics and computational ecology >Use of NDVI dataset for a GIS based analysis: A sample study of TAR Creek superfund site
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Use of NDVI dataset for a GIS based analysis: A sample study of TAR Creek superfund site

机译：使用NDVI数据集进行基于GIS的分析：TAR Creek超级基金站点的样本研究

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Tar Creek is an Environmental Protection Agency (EPA) designated superfund site in Ottawa County, Oklahoma that is heavily polluted with acid mine drainage (AMD) and pollutant deposits in the form of mine tailings (chat piles). Among several residual heavy metal contaminants, zinc and lead are most prevalent in these chat piles. Approximately 50. million cubic yards or 75. million tons of chat remained in Ottawa County as a result of excessive mining in early 1900's to 1960's. This chat is in addition to the pollution that is leached from open mine shafts that drain contaminants into the groundwater, some of which flows directly into streams and creeks. This paper discusses a methodology for incorporating satellite data (MODIS NDVI) within a GIS framework to perform time series analysis in areas near Tar Creek. GIS functions in Map Algebra and Zonal Statistics were implemented to study changes in spectral reflectance due to vegetation at two locations. One of the locations is a sample plot where remedial action consisted of cleaning up of the chat pile and growing native grass. The second location is along Tar Creek and Elm Creek. The paper describes one of the methods that can be used to combine remotely sensed imagery data and spatial feature data within the GIS framework. The main advantages of combining the two datasets using the described process is that, powerful geoprocessing functions within GIS can be easily applied to remote sensing data and the analysis of vector and raster data can be performed in unison.
机译：Tar Creek是位于俄克拉荷马州渥太华县的环境保护署（EPA）指定的超级基金站点，被酸性矿山排水（AMD）和矿渣（聊天桩）形式的污染物沉积严重污染。在这些残留的重金属污染物中，锌和铅含量最高。 1900年代初期至1960年代过度开采的结果是，渥太华县剩余约5000万立方码或7500万吨闲谈。除了闲聊之外，露天矿井还释放出污染物，这些污染物将污染物排入地下水，其中一些污染物直接流入溪流和小溪中。本文讨论了将卫星数据（MODIS NDVI）纳入GIS框架以在Tar Creek附近地区进行时间序列分析的方法。实施了“地图代数”和“区域统计”中的GIS功能，以研究两个地点的植被引起的光谱反射率变化。地点之一是样地，补救措施包括清理聊天堆和种植本地草。第二个位置是沿着Tar Creek和Elm Creek。本文介绍了可用于在GIS框架内组合遥感影像数据和空间特征数据的一种方法。使用上述过程将两个数据集结合起来的主要优点是，可以轻松地将GIS中强大的地理处理功能应用于遥感数据，并且可以统一执行矢量和栅格数据的分析。

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