基于遥感的作物产量和产量差估算研究进展  

Research progress on crop yield and yield gap estimation based on remote sensing

作　　者：卢必慧[1] 邱琳[1] 李卫国[1] 王志明[1] 田苗[1] 王晶 单捷[1] LU Bi-hui;QIU Lin;LI Wei-guo;WANG Zhi-ming;TIAN Miao;WANG Jing;SHAN Jie(Institute of Agricultural Information,Jiangsu Academy of Agricultural Sciences,Nanjing 210014,China)

机构地区：[1]江苏省农业科学院农业信息研究所,江苏南京210014

出　　处：《江苏农业学报》2023年第3期881-894,共14页Jiangsu Journal of Agricultural Sciences

基　　金：国家重点研发计划(政府间国际合作)项目(2021YFE0104400);江苏省自然科学基金项目(BK20200281);江苏省农业科技自主创新基金项目[CX(22)2001]。

摘　　要：作物产量差研究对于认识当前生产力现状和提高作物产量至关重要。以往产量差研究方法如田间试验、统计分析以及作物生长模型模拟分析,在区域尺度应用时常受限于空间上的异质环境以及田间管理信息不足等因素。本文重点综述了当前利用遥感技术以及遥感结合作物模型等方法来估算作物产量和产量差的研究进展,并介绍了利用遥感技术分析产量差形成因素的方法,最后对当前研究中存在的一些问题以及未来的研究方向进行了讨论和展望。The study of crop yield gap is very important for understanding the current productivity status and improving crop yield.In regional application,previous yield gap research methods such as field experiment,statistical analysis and crop growth model simulation analysis,are aften limited by factors such as spatial heterogeneous environment and insufficient field management information.This paper focused on the current research progress of using remote sensing technology and remote sensing combined with crop model to estimate crop yield and yield gap,and introduced the method of using remote sensing technology to analyze the factors causing yield gap.Finally,some problems existing in the current research and future research directions were discussed and prospected.

关 键 词：产量 产量差 遥感 作物模型 限制因素 

分 类 号：S127[农业科学—农业基础科学]