摘要
叶绿素是农作物生长过程中重要的生化参数之一,其含量对农作物长势监测、病虫害监测、成熟期预测都有重要意义。介绍了现有遥感监测农作物叶绿素含量的模型基本原理与方法,总结了国内外在该领域的主要研究成果,进一步将模型进行分类,并分别针对经验模型、物理模型和耦合模型进行详细论述,分析了模型的优缺点及其适用范围,根据遥感估算农作物叶绿素含量的模型研究中存在的问题,对未来估算模型的发展趋势进行了展望。
Chlorophyll is one of the significant biochemical parameters during the crop growth. It has important applications for identifying crop growing condition, diseases and insects, predicting the crop mature date. This paper introduced the basic principles, methods of crop chlorophyll content estimation models with remote sensing data,and summarized main research achievements in this field. Based on the domestic and foreign research, these models were divided into three categories including statistic model, physical model and coupled model. And this paper discussed the advantages, deficiencies, the scale of application and a large number of application examples of these three kinds of models in detail. On the basis of the four as- pects measured data, remote sensing data, the principle and establishment of models, some problems were raised and indicated that the key issue of the crop chlorophyll content estimation models with remote sensing data is the improvement of the physical model method. On the other hand, the priori knowledge is also an important factor in the process of model improvement. Finally, according to some existing results and problems, the method and application prospect of crop chlorophyll content models were put forward.
出处
《遥感技术与应用》
CSCD
北大核心
2016年第1期74-85,共12页
Remote Sensing Technology and Application
基金
国家自然科学基金项目“基于HJ-1数据的作物成熟期遥感预测方法研究”(41171331)
国家自然科学基金项目“基于作物参数遥感反演的作物单产预测方法研究及其在东北欧亚大陆的验证”(41010118)
中科院科技服务网络计划(STS)项目“精准农业技术体系研发及先进设备升级和完善”(KFJ-EW-STS-069)
关键词
遥感
农作物
叶绿素含量
Remote sensing
Crop
Chlorophyll contents
