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Evaluation of surface water resources from machine-processing of ERTS multispectral data

机译:通过ERTS多光谱数据的机器处理来评估地表水资源

摘要

The surface water resources of a large metropolitan area, Marion County (Indianapolis), Indiana, are studied in order to assess the potential value of ERTS spectral analysis to water resources problems. The results of the research indicate that all surface water bodies over 0.5 ha were identified accurately from ERTS multispectral analysis. Five distinct classes of water were identified and correlated with parameters which included: degree of water siltiness; depth of water; presence of macro and micro biotic forms in the water; and presence of various chemical concentrations in the water. The machine processing of ERTS spectral data used alone or in conjunction with conventional sources of hydrological information can lead to the monitoring of area of surface water bodies; estimated volume of selected surface water bodies; differences in degree of silt and clay suspended in water and degree of water eutrophication related to chemical concentrations.
机译:为了评估ERTS频谱分析对水资源问题的潜在价值,对印第安纳州马里恩县(印第安纳波利斯)的大都市地区的地表水资源进行了研究。研究结果表明,通过ERTS多光谱分析可以准确地识别出0.5公顷以上的所有地表水体。确定了五类不同的水并将其与参数相关联,这些参数包括:水的淤积程度;水深;水中存在大量生物和微生物形式;以及水中各种化学浓度的存在。单独或与常规水文信息源结合使用的ERTS光谱数据的机器处理可导致对地表水体面积的监测。选定地表水体的估计量;水中悬浮的淤泥和粘土的程度差异以及水的富营养化程度与化学浓度有关。

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