作物生长模型与定量遥感参数结合研究进展与展望

发布时间：2018-06-05 09:05

本文选题：遥感 + 模型　；参考：《农业工程学报》2017年09期

【摘要】：作物生长模型与定量遥感参数的结合,不仅满足前者实现区域应用的需求,也有助于提高后者的反演精度,在生态、农业、资源调查与全球气候变化等研究上意义重大。该文从作物生长模型空间应用拓展的角度,对国内外主流作物生长模型、定量遥感参数以及两者结合的参数与方法进行了概述,分析了典型作物生长模型的主要模拟过程及其驱动、初始化、输出等参数,总结了当前定量遥感正反演结果可为作物生长模型区域应用提供的参数数据;建立了作物生长模型模拟过程与定量遥感参数的对应关系,对比分析了作物生长模型与定量遥感参数的不同结合方式。基于以上内容,对作物生长模型面应用的限制因素及其与定量遥感参数的关系、作物生长模型面应用时参数尺度效应的影响、作物生长模型与定量遥感参数耦合方法的发展3个方面展开了讨论,以期为作物生长模型与定量遥感参数开展更好的结合研究提供参考。
[Abstract]:The combination of crop growth model and quantitative remote sensing parameters not only meets the needs of the former to realize regional application, but also helps to improve the inversion accuracy of the latter. It is of great significance in the research of ecology, agriculture, resource investigation and global climate change. In this paper, the main crop growth models, quantitative remote sensing parameters and their combined parameters and methods are summarized from the perspective of spatial application of crop growth models. The main simulation process, driving, initialization and output parameters of typical crop growth model are analyzed, and the parameter data provided by the current quantitative remote sensing forward and inverse modeling results for the regional application of crop growth model are summarized. The relationship between the simulation process of crop growth model and quantitative remote sensing parameters was established, and the different combinations of crop growth model and quantitative remote sensing parameters were compared and analyzed. Based on the above, the limiting factors of crop growth model surface application and its relationship with quantitative remote sensing parameters, and the effects of parameter scale effect on crop growth model surface application are discussed. The development of crop growth model and quantitative remote sensing parameters coupling method were discussed in order to provide a reference for better combination of crop growth model and quantitative remote sensing parameters.
【作者单位】：中国科学院遥感与数字地球研究所;石河子大学;中国科学院遥感与数字地球研究所遥感科学国家重点实验室;
【基金】：国家重点基础研究发展计划(973计划)课题“复杂地表遥感辐射/散射机理及动态建模”(2013CB733401) 国家自然基金“多尺度观测与作物生长模型相结合的辐射传输一体化模拟研究”(41671366);国家自然基金“基于能量平衡的作物冠层热辐射方向性模型”(41571359) 国家科技基础平台建设项目“测绘地物波谱本底数据库建设”(2014FY210800)
【分类号】：S127;TP79

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