南京农业大学学报2026，Vol.49Issue(1)：1-17,17.DOI:10.7685/jnau.202509005
遥感技术驱动的作物产量估算方法研究进展
Advances in remote sensing-based methods for crop yield estimation
摘要
Abstract
Under the multiple challenges of extreme climate events and resource constraints,developing high-precision and high-efficiency crop yield estimation methods is essential for ensuring food security and guiding agricultural policy.Leveraging its advantages in providing large-scale,dynamic,and rapid acquisition of spatially continuous crop information,remote sensing technology has become a core driving force in transforming yield estimation paradigms.This paper systematically reviews the principles,research progress,and characteristics of three mainstream categories of remote sensing-driven yield estimation methods,namely empirical,semi-empirical,and process-based models.It further conducts an in-depth analysis of existing challenges in the estimation process concerning sample availability,observational data,and modeling approaches.Corresponding strategies are proposed,including promoting the use of intelligent equipment and data-sharing mechanisms for sample acquisition,enhancing multi-source data integration and scale conversion,coupling process-based models with intelligent algorithms,and strengthening uncertainty quantification.Finally,the paper outlines future research priorities for crop yield estimation.This study aims to provide a reference framework for building efficient and robust crop yield estimation systems driven by remote sensing technology,thereby offering solid technical support for intelligent decision-making in global food security and sustainable agricultural development.关键词
作物/产量估算/遥感技术/经验模型/半经验模型/机理模型Key words
crop/yield estimation/remote sensing technology/empirical model/semi-empirical model/process-based model分类
信息技术与安全科学引用本文复制引用
张伟,祁苏婷,王松寒,和玉璞,杨士红,付萍杰,李庆,徐二帅,夏子龙,王洁..遥感技术驱动的作物产量估算方法研究进展[J].南京农业大学学报,2026,49(1):1-17,17.基金项目
国家自然科学基金项目(42501504) （42501504）
江苏省自然科学基金项目(BK20240282) （BK20240282）
中央级公益性科研院所基本科研业务费专项资金(Y925015,Y924009) （Y925015,Y924009）
