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从植被高光谱遥感到土壤重金属污染诊断的研究进展 被引量:10

From Vegetation Hyperspectral Remote Sensing to the Diagnosis of Soil Heavy Metal Pollution
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摘要 随着遥感技术的迅速发展,高光谱遥感由于其对微量元素的探测能力强,为诊断土壤重金属污染提供了可靠的基础数据。综述了国内外对高光谱监测植被/土壤重金属的研究现状,探讨了从植被高光谱到土壤重金属诊断的局限性,并对其进行了展望。 With rapid development of remote sensing technology, hyperspectral remote sensing provides an objective approach for the detection of soil heavy metal pollution ,for its strong ability to record subtle spectral changes of soil and plants above. This review summarizes the research status quo of detecting soil heavy metal pollution through plants as a proxy with hyper- spectral remote sensing data, as well as analyzes the limitations of this technique on the diagnosing soil heavy metal pollution.
作者 涂晔昕 费腾
出处 《湖北农业科学》 2016年第6期1361-1368,共8页 Hubei Agricultural Sciences
基金 武汉大学交叉学科自主科研基金项目(2042014KF240)
关键词 高光谱遥感 土壤 重金属 光谱特征 物理模型 hyperspectral remote sensing soil heavy matal spetral feature physical model
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