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

被引：2

作者：

Pandya, MR ^{[1
]}

Chaudhari, KN

Singh, RP

Sehgal, VK

Bairagi, GD

Sharma, R

Dadhwal, VK

机构：

[1] Indian Space Res Org, Ctr Space Applicat, Remote Sensing Appl & Imaging Proc Area, Ahmedabad 380015, Gujarat, India

[2] MPCOST, MP Remote Sensing Appl Ctr, Bhopal, India

来源：

CURRENT SCIENCE | 2003年 / 85卷 / 12期

关键词：

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

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.

引用

页码：1777 / 1782

页数：6

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