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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands
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Validating GEOV1 Fractional Vegetation Cover Derived From Coarse-Resolution Remote Sensing Images Over Croplands

机译:验证从耕地上的粗分辨率遥感影像得出的GEOV1植被分数阶覆盖度

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摘要

Fractional vegetation cover (FVC) is one of the most important criteria for surface vegetation status. This criterion corresponds to the complement of gap fraction unity at the nadir direction and accounts for the amount of horizontal vegetation distribution. This study aims to directly validate the accuracy of FVC products over crops at coarse resolutions (1 km) by employing field measurements and high-resolution data. The study area was within an oasis in the Heihe Basin, Northwest China, where the Heihe Watershed Allied Telemetry Experimental Research was conducted. Reference FVC was generated through upscaling, which fitted field-measured data with spaceborne and airborne data to retrieve high-resolution FVC, and then high-resolution FVC was aggregated with a coarse scale. The fraction of green vegetation cover product (i.e., GEOV1 FVC) of SPOT/VEGETATION data taken during the GEOLAND2 project was compared with reference data. GEOV1 FVC was generally overestimated for crops in the study area compared with our estimates. Reference FVC exhibits a systematic uncertainty, and GEOV1 can overestimate FVC by up to 0.20. This finding indicates the necessity of reanalyzing and improving GEOV1 FVC over croplands.
机译:植被覆盖度(FVC)是地表植被状况的最重要标准之一。该标准对应于最低点方向上的间隙分数单位的补,并说明了水平植被的分布量。本研究旨在通过实地测量和高分辨率数据直接验证粗略分辨率(1 km)下FVC产品在农作物上的准确性。研究区域位于中国西北黑河盆地的一个绿洲内,在那里进行了黑河流域联合遥测实验研究。参考FVC是通过放大生成的,将现场测量的数据与星载和机载数据进行拟合,以检索高分辨率FVC,然后以粗略规模聚合高分辨率FVC。将在GEOLAND2项目期间获取的SPOT / VEGETATION数据的绿色植被覆盖产品(即GEOV1 FVC)的比例与参考数据进行了比较。与我们的估计相比,GEOV1 FVC通常被高估了研究区域的农作物。参考FVC表现出系统性的不确定性,GEOV1可以高估FVC最多0.20。该发现表明重新分析和改善农田上的GEOV1 FVC的必要性。

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