基于线性双源遥感蒸散模型的作物估产——以河套灌区为例  

Crop Yield Estimation Based on Linear Dual-source Remote Sensing Evapotranspiration Model:A Case Study of Hetao Irrigation District

作　　者：杜鑫 苏涛[1,2,3] DU Xin;SU Tao(School of Spatial Information and Surveying Engineering, Anhui University of Science and Technology, Huainan 232001, China;Key Laboratory of Aviation-aerospace-ground Cooperative Monitoring and Early Warning of Coal Mining-induced Disasters of Anhui Higher Education Institutes, Anhui University of Science and Technology, Huainan 232001, China;Coal Industry Engineering Research Center of Mining Area Environmental and Disaster Cooperative Monitoring, Anhui University of Science and Technology, Huainan 232001, China)

机构地区：[1]安徽理工大学空间信息与测绘工程学院,淮南232001 [2]安徽理工大学矿山采动灾害空天地协同监测与预警安徽普通高校重点实验室,淮南232001 [3]安徽理工大学矿区环境与灾害协同监测煤炭行业工程研究中心,淮南232001

出　　处：《科学技术与工程》2022年第5期1821-1828,共8页Science Technology and Engineering

基　　金：国家重点研发计划(2018YFC0407703)。

摘　　要：为探究干旱与半干旱地区作物生育期用水,估算作物产量和优化配置作物灌溉制度,以河套灌区为研究对象,基于Landsat 8遥感影像数据提取一定时序植被指数监测主要农作物种植结构,利用MODIS数据及改进线性双源遥感蒸散模型,预测研究区作物在不同生育期蒸散量并使用常用水分生产函数模型进行主要作物玉米估产分析。结果表明:研究区近年来作物种植面积相对稳定,其中玉米种植量最多,葵花其次,小麦最少;研究区玉米在初期、中期、旺盛期和末期4个生长阶段平均日蒸散分别为2.0、3.09、4.2和2.79 mm/d,R^(2)分别为0.6601、0.7617、0.7701和0.7219;水分生产函数估产模型中Stewart模型在研究区模拟效果较好,其中临河区2016年玉米估产量为11018.5 kg/hm^(2),相对误差为6.82%。该研究可作为干旱区作物生育期监测及估产的重要方法之一,为灌区科学灌溉提供依据。Aiming to explore water use during crop growth in arid and semi-arid areas,estimate crop yields and optimize crop irrigation systems,taking Hetao irrigation district as the research object,based on Landsat 8 remote sensing image data,a certain temporal vegetation index was extracted to monitor the planting structure of main crops.The evapotranspiration was predicted by using MODIS data and an improved linear dual-source remote sensing evapotranspiration model,and the maize yield was estimated by using the commonly used water production function model.The results show that the crop planting area is relatively stable in recent years,in which corn was the most planted,followed by sunflower,and wheat was the least.The average daily evapotranspiration of maize in the study area in the four growth stages of early,middle,flourishing and late are 2.0,3.09,4.2 and 2.79 mm/d,R^(2) are 0.6601,0.7617,0.7701 and 0.7219.Stewart model of water production function estimation model has a better simulation effect in the study area.In Linhe area,the estimated corn yield in 2016 is 11018.5 kg/hm^(2),and the root mean squared error(RMSE)is 6.82%.The results can be used for crop growth period monitoring and yield estimation in arid areas,and provide a basis for scientific irrigation in irrigated areas.

关 键 词：植被指数 蒸散模型 作物估产 水分生产函数 遥感反演 

分 类 号：S271[农业科学—农业水土工程]