首页> 外文会议>Remote Sensing for Agriculture, Ecosystems, and Hydrology VI >Methodology to validate MSG vegetation products. Part Ⅱ: Geostatistical approaches for upscaling field data to high-resolution satellite scales
【24h】

Methodology to validate MSG vegetation products. Part Ⅱ: Geostatistical approaches for upscaling field data to high-resolution satellite scales

机译:验证味精植被产品的方法。第二部分:将现场数据放大到高分辨率卫星规模的地统计学方法

获取原文
获取原文并翻译 | 示例

摘要

This paper is the second part of two-part set which proposes a methodology in order to validate the LSA SAF vegetation products (LAI/FVC/fAPAR) derived from SEVIRI/MSG. The main objective of this methodology refers to assessing the uncertainty of SEVIRI/MSG products by analytical comparison to in situ measurements. The scaling problem is solved in this work by considering high-resolution maps in order to make the direct comparison between ground truth and coarse-resolution products. A detail description of the measurement acquisition and estimates was presented in a first document whereas the estimation of the high-resolution biophysical maps from this in situ data set is undertaken in this paper. This work attempts to evaluate the capabilities of a geostatistical approach in the estimation of high-resolution LAI/FVC/fAPAR maps. The geostatistical approach is based on collocated cokriging, which allows to derive high-resolution maps from in situ measurements over a small area (5x5 km~2), centred at Barrax test site. This technique takes into account the spatial dependence of the data, the neighbouring information, densely sampled auxiliary information and the variance estimation as opposed to empirical functions. The method has shown to be appropriate for the spatial extension of in situ measurements. An important contribution of this work is the analysis of the uncertainties associated to the method which provides an appreciation of the varying precision of the cokriged estimates due to the irregular disposition of informative points by means of the estimated variance. On the other hand, a flag image is also provided by using the convex hull tool in order to account for possible uncertainties in previous steps to the final cokriging output.
机译:本文是由两部分组成的第二部分,提出了一种方法来验证源自SEVIRI / MSG的LSA SAF植被产品(LAI / FVC / fAPAR)。该方法的主要目标是通过与原位测量的分析比较来评估SEVIRI / MSG产品的不确定性。在这项工作中,通过考虑高分辨率地图来解决缩放问题,以便直接比较地面真实情况和粗糙分辨率乘积。在第一个文档中提供了对测量采集和估计值的详细说明,而本文则对来自该现场数据集的高分辨率生物物理图进行了估计。这项工作试图评估高分辨率LAI / FVC / fAPAR地图的地统计方法的能力。地统计学方法基于并置共克里金法,可以从以Barrax测试地点为中心的小区域(5x5 km〜2)的现场测量中获得高分辨率地图。该技术考虑了数据的空间依赖性,邻近信息,密集采样的辅助信息以及与经验函数相反的方差估计。该方法已显示适用于原位测量的空间扩展。这项工作的重要贡献是对与该方法相关的不确定性的分析,该方法提供了对由于估计值方差不规则地分布信息点而导致的cokriged估计精度变化的认识。另一方面,还通过使用凸包工具提供标志图像,以便解决最终cokriging输出的先前步骤中可能存在的不确定性。

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