【24h】

An empirical approach for retrieving leaf area index from multifrequency SAR data

机译:一种从多频SAR数据中提取叶面积指数的经验方法

获取原文

摘要

In this paper an empirical approach for retrieving leaf area index from multifrequency SAR data is presented. From previous results obtained through multifrequency-multipolarization SAR data analysis collected on agricultural fields over the past years, a clear relationship between L-band data and the leaf area index of certain crop types has been observed, mainly at HV polarization. Since other bands, such as C- and P-bands, have been found sensitive to vegetation biomass as well, although to a lesser extent, a multifrequency approach has been tried in order to extend this relation to other crops. In doing so the backscattering coefficent at P-, L- and C-bands has been related to a volumetric leaf area index (i.e., multiplied by the average leaf thickness) normalized to the wave number. The obtained correlation has been used to retrieve leaf area index from multifrequency SAR data.
机译:本文提出了一种从多频SAR数据中获取叶面积指数的经验方法。根据过去几年通过在农田上进行的多频多极化SAR数据分析获得的先前结果,已观察到L波段数据与某些作物类型的叶面积指数之间存在明确的关系,主要是在HV极化下。由于已发现其他波段(例如C波段和P波段)也对植被生物量敏感,尽管程度较小,因此尝试了多频方法以将这种关系扩展到其他农作物。这样做时,在P,L和C波段的反向散射系数与归一化为波数的体积叶面积指数(即乘以平均叶片厚度)有关。所获得的相关性已用于从多频SAR数据中检索叶面积指数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号