中国农业科学2012，Vol.45Issue(17)：3486-3496,11.DOI:10.3864/j.issn.0578-1752.2012.17.004
基于分段方式选择敏感植被指数的冬小麦叶面积指数遥感反演
Retrieving LAI of Winter Wheat Based on Sensitive Vegetation Index by the Segmentation Method
摘要
Abstract
[ Objective ] The method of inversion leaf area index (LAI) using a single vegetation index (VI) is influenced by different degrees of saturability and soil background. This paper proposed a method choosing sensitive vegetation index by the segmentation method to form optimal VI combination, and to improve the accuracy of LAI inversion. [Method] In this study the ACRM radiation transmission model was used to simulate data, and the ground measured spectrum data were obtained. The study analyzed soil sensitivity and saturability about the common vegetation index to determine the segment point of LAI, and chose the best vegetation index based on segment point of LAI to form a combination VI for achieving the final inversion of the LAI. This method was also used in the regional winter wheat LAI inversion application with the Landsat5 TM data. [Result] The analysis showed that, LAI = 3 was the more appropriate segment point, and the use of vegetation index segment combination OSAVI (LAI ≤3) + TGDVI (LAI>3) partly overcame soil factors and the saturation problems. The joint inversion results were significantly superior to the single vegetation index retrieval accuracy. [Conclusion] LAI was effectively inversed with the higher accuracy by choosing the best vegetation index through the segmentation method.关键词
冬小麦/叶面积指数/植被指数/分段反演/遥感Key words
winter wheat/leaf area index (LAI)/vegetation index/segmentation inversion/remote sensing引用本文复制引用
李鑫川,徐新刚,鲍艳松,黄文江,罗菊花,董莹莹,宋晓宇,王纪华..基于分段方式选择敏感植被指数的冬小麦叶面积指数遥感反演[J].中国农业科学,2012,45(17):3486-3496,11.基金项目
国家自然科学基金(41001244)、北京市自然科学基金(4112022)、江苏高校优势学科建设工程(PAPD) （41001244）
