当前的遥感科学面临着遥感数据获取能力与数据应用能力之间突出的供需矛盾。尺度问题作为遥感科学中的关键问题,既限制了遥感作为一门科学向系统性、普适性的发展,又限制了遥感应用能力的发展。本文对定量遥感中的尺度问题进行了梳理,包括:遥感与传统站点观测之间的不一致、不同尺度遥感产品之间的不一致、机理模型的尺度适用问题,以及遥感产品与用户需求时空尺度间的不一致。对遥感中的尺度转换方法展开了讨论,总结了尺度转换的关键问题在于原数据信息量不足时引入额外信息和保留关键信息两方面。提出了构造地理要素趋势面的基本构想,搭建了一个具有普适性的尺度转换方法框架。核心内容是充分利用地表环境要素时间、空间上的信息作为先验知识,通过关联遥感观测新信息和先验趋势面生成指定时空尺度的地表要素产品。 Current remote sensing science is facing a prominent contradiction between supply and demand of remote sensing data acquisition capabilities and data application capabilities. As a key issue in remote sensing science, the scale problem not only limits the development of remote sensing as a science to the system and universality, but also limits the development of remote sensing application ability. This paper reviews the scale problems in quantitative remote sensing, including the inconsistencies between remote sensing and traditional site observations, the inconsistency between remote sensing products at different scales, the application of the scale of mechanism models, and the spatial and temporal scales of remote sensing products and user requirements Inconsistent. The scale conversion method in remote sensing is discussed. The key problem of scale conversion is summarized as the introduction of additional information and the retention of key information when the original data is insufficient. Put forward the basic conception of constructing the trend surface of geographical elements and set up a universally applicable scale conversion method framework. The core content is to make full use of time and space information of surface environment elements as prior knowledge to generate surface element products of specified spatio-temporal scales by correlating remote sensing observations with new information and prior trend surfaces.