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Leaf area index retrieval using IRS LISS-III sensor data and validation of MODIS LAI product over Madhya Pradesh

机译:使用IRS LISS-III传感器数据检索叶面积指数,并在中央邦进行MODIS LAI产品的验证

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摘要

Results of a study aimed at relating field measurements of leaf area index (LAI) to space-borne IRS LISS-III data, preparation of site-level LAI maps and validation of moderate resolution imaging spectro-radiometer (MODIS)-based 1 km LAI global fields, conducted over agricultural areas of Bhopal and Indore during winter season of 2001-02 are presented. Measurements of field-level LAI, aerosol optical thickness and water vapour were carried out on the day of satellite overpass for three dates for each site. Empirical models based on site-specific LAI-vegetation index relations were developed and used to generate 23 in resolution LAI maps. These LAI images covering approximately 30 km x 30 km were aggregated to 1 km spatial resolution and used for validation of MODIS LAI product. The results indicated significant positive correlation between LAI derived from LISS-III data and MODIS data, with an overestimation in the MODIS product, root mean square error of 0.92 to 1.26 for the Bhopal site and 0.20 to 0.33 for the Indore site.
机译:一项研究的结果旨在将叶面积指数(LAI)的田间测量与星载IRS LISS-III数据相关联,准备站点级LAI地图并验证基于中分辨率成像分光辐射计(MODIS)的1 km LAI介绍了2001-02冬季在博帕尔和印多尔农业地区进行的全球田间调查。在每个站点的三个日期,在卫星立交桥的当天对场级LAI,气溶胶光学厚度和水蒸气进行了测量。开发了基于特定地点的LAI-植被指数关系的经验模型,并将其用于生成分辨率为23的LAI地图。这些覆盖约30 km x 30 km的LAI图像被聚合到1 km空间分辨率,并用于验证MODIS LAI产品。结果表明,来自LISS-III数据的LAI与MODIS数据之间存在显着的正相关性,其中MODIS乘积被高估了,博帕尔位点的均方根误差为0.92至1.26,印多尔位点的均方根误差为0.20至0.33。

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