...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences >NEW VEGETATION INDICES FOR FULL AND COMPACT POLARIMETRIC SAR DATA: IN PREPARATION FOR THE RADARSAT CONSTELLATION MISSION (RCM)
【24h】

NEW VEGETATION INDICES FOR FULL AND COMPACT POLARIMETRIC SAR DATA: IN PREPARATION FOR THE RADARSAT CONSTELLATION MISSION (RCM)

机译：全紧凑且紧凑型偏振SAR数据的新植被指数：为雷达坦星座组织进行准备（RCM）

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we present two radar vegetation indices for full-pol and compact-pol SAR data, respectively. Both are derived using the notion of a geodesic distance between observation and well-known scattering models available in the literature. While the full-pol version depends on a generalized volume scattering model, the compact-pol version uses the ideal depolariser to model the randomness in the vegetation. We have utilized the RADARSAT Constellation Mission (RCM) time-series data from the SAMPVEX16-MB campaign in the Manitoba region of Canada for comparing and assessing the indices in terms of the change in the biophysical parameters as well. The compact-pol data for comparison is simulated from the full-pol RCM time series. Both the indices show better performance at correlating with biophysical parameters such as Plant Area Index (PAI) and Volumetric Water Content (VWC) for wheat and soybean crops, in comparison to the state-of-art Radar Vegetation Index (RVI) of Kim and van Zyl. These indices are timely for the upcoming release of the data from the RCM, which will provide data in both full and compact-pol modes, aimed at better crop monitoring from space.
机译：在本文中，我们分别为全热和Compact-Pol SAR数据提供了两个雷达植被指数。两者都是使用在文献中可用的观察和众所周知的散射模型之间的测地距离的概念来源的。虽然全POL版本取决于广义卷散射模型，但Compact-Pol版本使用理想的DepOlariser来模拟植被中的随机性。我们已经利用了加拿大Manitoba地区Sampvex16-MB广告系列的Radarsat星座使命（RCM）时间序列数据，以便在生物物理参数的变化方面进行比较和评估指标。用于比较的紧凑型POL数据是从全POL RCM时间序列模拟的。对于小麦和大豆作物，与植物区指数（PAI）和体积水含量（VWC）等生物物理参数相关，索引与小麦和大豆作物的体积含水量（VWC）相比表现出更好的性能。瓦齐尔。这些指数是及时的即将发布来自RCM的数据，这将提供完整和紧凑的POL模式，旨在更好地从空间监测。

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