江苏农业学报2025，Vol.41Issue(5)：893-904,12.DOI:10.3969/j.issn.1000-4440.2025.05.008
基于遥感数据与作物模型结合的重庆市水稻估产方法
Rice yield estimation method in Chongqing based on remote sensing data and crop model
摘要
Abstract
Rice is a primary food crop globally,and accurate prediction of its yield is of great significance for food se-curity and agricultural resource management.This study used the ORYZA(V3)crop model and MODIS remote sensing data to establish a rice yield estimation model for Chongqing.The main conclusions were as follows:the crop parameters in the model were calibrated using rice staged sowing experiment data.The calibration results showed that the simulation error of the model for the growth period was less than 5%,and the determination coefficients(R2)between the simulated and measured values of total aboveground biomass(WAGT)and panicle biomass(WSO)exceeded 0.970.The normalized root mean square error(nRMSE)was less than 22.0%,which improved the applicability of the model in Chongqing.Through regres-sion analysis of LAI and rice yield under multiple parame-ter combinations of the model,a regression model of LAI and rice yield under the optimal combination date(182nd day of the year,July 1)was established.Based on this,the estimation of rice yield in Chongqing in 2023 was completed with an average accuracy of 87%,and the overall effect was good,especially in the main rice producing areas such as the western,central,and southeastern regions,where the accuracy was higher.The research results confirm that combining crop models with remote sensing data can effectively im-prove the accuracy of regional crop yield estimation and show great application prospects in the field of crop yield predic-tion.关键词
水稻/作物模型/遥感估产/数据耦合Key words
rice/crop models/remote sensing yield estimation/data combination分类
农业科技引用本文复制引用
毕淼,詹培,何永坤,范莉,张建平..基于遥感数据与作物模型结合的重庆市水稻估产方法[J].江苏农业学报,2025,41(5):893-904,12.基金项目
国家自然科学基金面上项目(42175193) （42175193）
中国气象局创新发展专项(CXFZ2023P016) （CXFZ2023P016）
重庆市气象局青年基金项目(QNJJ202306) （QNJJ202306）
