2019年中国陆表定量遥感发展综述

Abstract

为了更好地了解中国定量遥感的发展态势和加强同行之间的信息交流，根据中国学者2019年发表的SCI检索论文和部分中文论文，对陆表定量遥感的核心进展进行了总结，涉及数据预处理（云及其阴影识别，大气与地形校正）、陆表辐射传输建模、不同变量的反演方法、产品生产评价与精度验证，以及相关应用等内容。陆表变量产品较多，本文概要介绍了反射率、下行太阳辐射、反照率、地表温度、长波辐射、总净辐射、荧光遥感、植被生化参数、叶面积指数、光合有效辐射比、植被覆盖度、森林高度、森林生物量、植被生产力、土壤水分、雪水当量、雪盖、蒸散发、地表与地下水量等最新进展，也一并介绍了2019年与定量遥感相关的科研项目、学术交流会与暑假培训班等内容。

In order to better understand the development of quantitative remote sensing in China and strengthen the exchange of information among peers, this paper summarizes the core parts of quantitative remote sensing over land surface based on the SCI (Scientific Citation Index) indexed papers and some Chinese papers published by Chinese scholars in 2019, including pre-processing methods (cloud and shadow detection, atmospheric correction and terrain correction, etc.); land surface radiative transfer modeling；inversion methods；tproduct production, evaluation，accuracy validation and applications. Surface products include directional reflectance, downward solar radiation, albedo, surface temperature, long wave radiation, net radiation, fluorescence, remote sensing vegetation biochemical parameters, leaf area index, fraction of the absorbed photosynthetic active radiation, vegetation coverage, forest height, forest biomass, vegetation productivity, soil moisture, snow water equivalent, snow cover, evaporation, surface and underground water, etc. The related research projects, professional symposium and summer training courses are also introduced.