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首页> 外文期刊>Journal of the American Water Resources Association >STREAM HEALTH RANKINGS PREDICTED BY SATELLITE DERIVED LAND COVER METRICS
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STREAM HEALTH RANKINGS PREDICTED BY SATELLITE DERIVED LAND COVER METRICS

机译：卫星衍生的土地覆盖指标预测的流域健康排名

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Land cover and land use change have long been known to influence the chemical, physical, and biological characteristics of streams. This study makes use of land cover maps derived from fine resolution satellite imagery and an extensive stream quality dataset to determine the relationship between small watershed health rankings and land cover composition and configuration. Landscape metrics were derived from digital impervious surface area (ISA), tree cover (percent), and agricultural crop maps within Montgomery County, Maryland. Watershed rankings were developed by state and county collaborators (MD-DNR and MCDEP) using extensive biological and chemical measurements. In stepwise logistic regression models the factors accounting for the most variation in stream health ranking were the percent ISA, followed by the percent of tree cover. Riparian buffer zone tree cover was also a significant predictor. Of the metrics that considered the spatial configuration of the landscape, a contagion index and the percent of ISA in the flow path from the ISA to the stream were also found to be significant predictors of stream health. Despite limited ability to characterize landscape configuration or narrow riparian buffer zone vegetation with coarser resolution imagery (from Landsat), model results were not significantly different from those based on the use of fine-resolution ISA information, suggesting that broader area applications of the approach are possible. The results indicate that management practices designed to improve stream water quality should focus on the amount of ISA and tree cover in both the watershed and within the buffer zone.
机译：众所周知，土地覆盖和土地利用变化会影响河流的化学，物理和生物学特性。这项研究利用从高分辨率卫星影像获得的土地覆盖图和广泛的河流质量数据集来确定小流域健康等级与土地覆盖物组成和配置之间的关系。景观指标是从马里兰州蒙哥马利县的数字不透水表面积（ISA），树木覆盖率（百分比）和农作物地图得出的。州和县的合作者（MD-DNR和MCDEP）使用广泛的生物和化学测量方法制定了分水岭等级。在逐步逻辑回归模型中，导致河流健康状况排名变化最大的因素是ISA百分比，其次是树木覆盖率。河岸缓冲区树的覆盖率也是一个重要的预测指标。在考虑景观空间配置的度量标准中，从ISA到河流的流路中的传染指数和ISA的百分比也被发现是河流健康的重要预测指标。尽管使用较粗分辨率的图像（来自Landsat）表征景观配置或狭窄的河岸缓冲区植被的能力有限，但模型结果与基于高分辨率ISA信息的模型结果并没有显着差异，这表明该方法的更广泛应用是可能。结果表明，旨在改善溪流水质的管理措施应集中在流域和缓冲区内的ISA和树木覆盖量。

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