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基于卫星遥感预测作物成熟期的可行性分析
引用本文:蒙继华,吴炳方.基于卫星遥感预测作物成熟期的可行性分析[J].遥感技术与应用,2013,28(2):165-173.
作者姓名:蒙继华  吴炳方
作者单位:(中国科学院遥感与数字地球研究所,数字地球重点实验室,北京 100101)
基金项目:国家自然科学基金项目(41171331、41010118);中国科学院绿色农业技术集成与发展中心运行经费课题“双山基地精准农业遥感应用示范”
摘    要:精准收获是精准农业的重要环节,首先分析了收获时间对作物产量与品质的影响,论述了作物成熟期监测的重要性,然后从气象统计模型、作物生长模型及遥感监测3个方面回顾了作物成熟期预测的研究进展。在此基础上,通过对目前主要作物成熟状态指示因子遥感监测研究进展的分析,认为在当前新型传感器不断涌现的条件下,利用卫星遥感预测大范围作物成熟期、制订收割顺序并指导农业生产的条件已经成熟。并指出研究面向遥感的作物成熟期指示因子及其变化规律,发展高精度的作物冠层叶绿素及水分含量的遥感估算方法,研究面向农田尺度动态监测的高时空分辨率数据集构建技术和多种模型的耦合将成为该领域未来的研究重点。

关 键 词:卫星遥感  作物成熟期  预测  精准农业  
收稿时间:2012-08-14

The Feasibility Analysis on Satellite Data based Crop Mature Date Prediction
Meng Jihua,Wu Bingfang.The Feasibility Analysis on Satellite Data based Crop Mature Date Prediction[J].Remote Sensing Technology and Application,2013,28(2):165-173.
Authors:Meng Jihua  Wu Bingfang
Affiliation:(Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,; Chinese Academy of Sciences,Beijing 100101,China)
Abstract:Precise harvest is an important part of precision agriculture.The study first proved the importance of accurate crop mature date prediction by analyzing the influence of harvest date on crop yield and grain quality,then provided a review on crop mature date prediction through meteorological statistical method,crop growth model method and remote sensing method.After that,based on the development of remote sensing derivation of crop maturation indicators,this paper concluded that it is feasible to predict crop mature date and map fields harvest order with satellite-based remote sensing,especially when new sensors are launched continuously.The study also pointed out that the issues will be addressed in the field:(1)developing remote sensing oriented crop maturation indicators and studying their varying patterns;(2)improving remote sensing estimation of crop canopy chlorophyll and water content;(3)developing high-temporal & high-spatial resolution remote sensing data generation technology to implement field scale dynamic monitoring and;(4)improving mature date prediction by integrating different models.
Keywords:Satellite remote sensing  Crop mature date  Prediction  Precision farming  
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