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Hyperspectral chlorophyll indices sensitivity analysis to soil backgrounds in agrirultural aplications using field, Probe-1 and Hyperion data

机译:利用田间,Probe-1和Hyperion数据对农业应用中土壤背景的高光谱叶绿素指数敏感性分析

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This paper focuses on the evaluation and comparison of the sensitivity of several chlorophyll indices to bare soils optical property variations. To achieve our goal, field spectroradiometric measurements were used as well as hyperspectral data acquired with the Probe-1 airborne and Hyperion EO-1 satellite sensors. The field-based reflectance measurements were acquired above 90 bare soil plots with various optical properties and selected from different agricultural lands. Probe-1 and Hyperion data were spectrally and radiometrically calibrated as well as atmospherically corrected. After these pre-processing steps, sixty spectra of different bare soils with various optical properties were extracted from each dataset for use in the analysis. The obtained results show an excellent agreement between the accuracies estimated from field, airborne and satellite data. Independently from the data source and from the bare soil background, CARI, MCARI and TCARI indices are basically not sensitive to changes in soil optical properties with an RMSE less than 1% and will permit a better estimation of chlorophyll content in sparse crop cover environment.
机译:本文着重评估和比较几种叶绿素指数对裸土光学性质变化的敏感性。为了实现我们的目标,使用了现场光谱辐射测量以及通过Probe-1机载和Hyperion EO-1卫星传感器获取的高光谱数据。基于场的反射率测量值是在90种具有各种光学特性的裸露土地上获取的,并选自不同的农业用地。对Probe-1和Hyperion数据进行了光谱和辐射定标,并进行了大气校正。经过这些预处理步骤后,从每个数据集中提取了具有各种光学特性的不同裸土的60个光谱,用于分析。获得的结果表明,根据野外,机载和卫星数据估算的精度之间有着极好的一致性。与数据来源和裸露土壤背景无关,CARI,MCARI和TCARI指数基本上对土壤光学性质的变化不敏感,RMSE小于1%,并且可以更好地估算稀疏作物覆盖环境中的叶绿素含量。

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