...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Estimation of Vegetation Water Content From the Radar Vegetation Index at L-Band
【24h】

Estimation of Vegetation Water Content From the Radar Vegetation Index at L-Band

机译：从L波段雷达植被指数估算植被含水量。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Information on vegetation water content (VWC) is important in retrieving soil moisture using microwave remote sensing. It can be also used for other applications, including drought detection, bushfire prediction, and agricultural productivity assessment. Through the Soil Moisture Active Passive (SMAP) mission of the National Aeronautics and Space Administration, radar data may potentially provide the VWC information needed for soil moisture retrieval from the radiometer data acquired by the same satellite. In this paper, VWC estimation is tested using radar vegetation index (RVI) data from the third SMAP airborne Experiment. Comparing with coincident ground measurements, prediction equations for wheat and pasture were developed. While a good relationship was found for wheat, with and root-mean-square error kg/m, the relationship for pasture was poor, with and , kg/m, for 10-, 30-, and 90-m resolutions, respectively. These results suggested that RVI is better correlated with VWC for vegetation types having a greater dynamic range. However, the results were not as good as those from a previous tower-based study ( and ) over wheat. This is possibly due to spatial variation in vegetation structure and surface roughness not present in tower studies. Consequently, results from this study are expected to more closely represent t ose from satellite observations such as SMAP, where large variation in vegetation and environment conditions will be experienced.
机译：有关植被含水量（VWC）的信息对于使用微波遥感检索土壤水分非常重要。它也可以用于其他应用，包括干旱检测，丛林大火预测和农业生产力评估。通过美国国家航空航天局的土壤水分主动无源（SMAP）任务，雷达数据可以潜在地提供从同一颗卫星获取的辐射计数据中获取土壤水分所需的VWC信息。在本文中，使用来自第三次SMAP机载实验的雷达植被指数（RVI）数据测试了VWC估计。与同时进行的地面测量相比较，开发了小麦和牧场的预测方程。虽然发现小麦的良好关系（均方根误差和kg / m 2均方根误差），但与牧场的关系较差，分别以10和30 m和90 m的分辨率分别为和，kg / m 2。这些结果表明，对于具有较大动态范围的植被类型，RVI与VWC更好地相关。但是，结果不如先前基于小麦的基于塔的研究（和）得出的结果好。这可能是由于塔架研究中不存在的植被结构空间变化和表面粗糙度。因此，这项研究的结果有望更紧密地代表来自卫星观测的姿态，例如SMAP，那里的植被和环境条件将发生巨大变化。

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