首页> 外文会议>Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International >Investigating relationship between Landsat ETM+ data and LAI in a semi-arid grassland of Northwest China
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Investigating relationship between Landsat ETM+ data and LAI in a semi-arid grassland of Northwest China

机译:西北半干旱草原Landsat ETM +数据与LAI的关系研究

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A field campaign was executed in a semi-arid grassland of northwest China from July 11th-July 15th, 2002. According to the VALERI (Validation of Land European Remote Sensing Instruments) sampling procedures, the leaf area index (LAI) were intensively measured within a homogenous 3/spl times/3 km/sup 2/ square by using LAI-2000 and TRAC instrument. A quarter scene of Landsat7 ETM+ with acquisition times close to the field campaign time was processed by proper geo-registration and atmospheric correction. Three kinds of spectral vegetation index including NDVI, SR and MSAVI in the sampling area were derived from the corrected ETM+ image. The two sets of LAI data measured with LAI-2000 and TRAC instrument at the same site were inter-compared. The relationships between the measured LAI and vegetation indices were investigated as well. The results elicit that the statistical relationships between measured LAI and the different vegetation indices are consistent. Among them, NDVI seems the most promising estimator for the extraction of LAI. In addition, the LAI-2000 seems to perform better for LAI measurement in the semi-arid grassland than the TRAC instrument.
机译:2002年7月11日至7月15日,在中国西北半干旱的草原上进行了野战。根据VALERI(欧洲陆地遥感仪器验证)采样程序,对叶面积指数(LAI)进行了密集测量。通过使用LAI-2000和TRAC仪器,获得均匀的3 / spl次/ 3 km / sup 2 /平方。通过适当的地理配准和大气校正处理了Landsat7 ETM +的四分之一场景,其获取时间接近野外活动时间。从校正后的ETM +图像中得出了采样区的NDVI,SR和MSAVI这三种光谱植被指数。比较了在同一地点使用LAI-2000和TRAC仪器测量的两组LAI数据。还研究了测得的LAI与植被指数之间的关系。结果表明,测得的LAI与不同植被指数之间的统计关系是一致的。其中,NDVI似乎是提取LAI的最有前途的估计器。此外,LAI-2000在半干旱草原上的LAI测量似乎比TRAC仪器表现更好。

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