...
首页> 外文期刊>Environmental Pollution >Efficient retrieval of vegetation leaf area index and canopy clumping factor from satellite data to support pollutant deposition assessments
【24h】

Efficient retrieval of vegetation leaf area index and canopy clumping factor from satellite data to support pollutant deposition assessments

机译:从卫星数据中有效检索植被叶面积指数和冠层结块因子,以支持污染物沉积评估

获取原文
获取原文并翻译 | 示例
           

摘要

Canopy leaf area index (LAI) is an important structural parameter of the vegetation controlling pollutant uptake by terrestrial ecosystems. This paper presents a computationally efficient algorithm for retrieval of vegetation LAI and canopy clumping factor from satellite data using observed Simple Ratios (SR) of near-infrared to red reflectance. The method employs numerical inversion of a physics-based analytical canopy radiative transfer model that simulates the bi-directional reflectance distribution function (BRDF). The algorithm is independent of ecosystem type. The method is applied to 1-km resolution AVHRR satellite images to retrieve a geo-referenced data set of monthly LAI values for the conterminous USA. Satellite-based LAI estimates are compared against independent ground LAI measurements over a range of ecosystem types. Verification results suggest that the new algorithm represents a viable approach to LAI retrieval at continental scale, and can facilitate spatially explicit studies of regional pollutant deposition and trace gas exchange. (c) 2005 Elsevier Ltd. All rights reserved.
机译:冠层叶面积指数(LAI)是控制陆地生态系统吸收污染物的植被的重要结构参数。本文提出了一种计算有效的算法,可使用观测到的近红外反射率与红色反射率的简单比率(SR)从卫星数据中检索植被LAI和冠层丛生因子。该方法采用了基于物理学的分析冠层辐射传递模型的数值反演,该模型模拟了双向反射率分布函数(BRDF)。该算法与生态系统类型无关。将该方法应用于分辨率为1公里的AVHRR卫星图像,以检索针对美国本土的每月LAI值的地理参考数据集。将基于卫星的LAI估计值与一系列生态系统类型的独立地面LAI测量值进行比较。验证结果表明,该新算法代表了在大陆范围内进行LAI检索的可行方法,并且可以促进对区域污染物沉积和痕量气体交换的空间明确研究。 (c)2005 Elsevier Ltd.保留所有权利。

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