非均质中低分辨率像元土壤含水量地面采样方法研究进展

发布时间：2018-01-02 15:27

本文关键词：非均质中低分辨率像元土壤含水量地面采样方法研究进展　出处：《中南大学学报(自然科学版)》2016年04期 　论文类型：期刊论文

【摘要】：在一定的精度条件下,如何通过合理的地面采样方法获取非均质混合像元的地面真值,是遥感准确反演土壤含水量需要解决的基本问题。目前常用的地面传统采样方法包括传统统计采样、自助采样、随机组合采样、地统计采样、分层采样、稳定性采样,都需要地面较密集的实测数据才能获得合理的采样方案,然而,在实际中,中低分辨率尺度很难进行地面预采样,传统地面采样方法很难满足区域尺度土壤含水量的地面采样需求。基于先验知识的地面采样方法由于不需要地面较密集的实测数据,已成为中低分辨率像元土壤含水量地面采样的新热点。综合分析土壤含水量不同地面采样方法的特点和优势以及采样方法的适用条件,为土壤含水量反演算法模型的构建和产品的真实性检验提供科学的地面采样参考依据。
[Abstract]:Under certain precision condition, how to obtain the ground truth value of heterogeneous mixed pixel by reasonable ground sampling method. Traditional ground sampling methods include traditional statistical sampling, self-help sampling, random combination sampling, geostatistical sampling and stratified sampling. In order to obtain a reasonable sampling scheme, it is necessary to obtain a reasonable sampling scheme for stable sampling. However, in practice, it is very difficult to carry out ground pre-sampling at low and medium resolution. The traditional ground sampling method is very difficult to meet the ground sampling requirement of soil moisture content in regional scale. The ground sampling method based on prior knowledge does not require more dense ground measured data. It has become a new hotspot of ground sampling of soil moisture content in low and low resolution pixel. The characteristics and advantages of different surface sampling methods of soil water content and the applicable conditions of sampling methods are analyzed synthetically. It provides a scientific reference basis for the construction of soil moisture inversion algorithm model and the verification of product authenticity.
【作者单位】：中国科学院遥感与数字地球研究所;
【基金】：国家自然科学基金资助项目(41371416)~~
【分类号】：S152.7
【正文快照】： 土壤含水量是水文模型、气候预测模型以及干旱监测模型中重要的参数之一[1-5]。遥感是获取生产区域与全球土壤含水量的主要手段,近年来,基于AMSR-E和SMOS等被动微波卫星遥感数据,生产了全球土壤含水量产品[1,6],另外,2015年计划发射的土壤水分主、被动微波卫星(SMAP)也将为土

【相似文献】