【精品】农业信息化课程

遥感技术在农作物估产中的应用

摘要：遥感估产是基于作物特有的波谱反射特征，利用遥感手段对作物产量进行

监测预报的一种技术，在农业发展中具有传统的统计方法不可比拟的优势，能客观、动态、快速、精准地获得农作物长势、产量等信息。遥感技术必须与其它工

具相结合，才能更好地估产。本文主要研究了遥感技术在农作物估产中的应用，

先介绍了遥感估产的基本原理和方法，分析了几种与遥感技术结合的估产模型的

优劣；然后以冬小麦和玉米为例，介绍了两种遥感估产模型；最后，分析了现有

遥感估产存在的问题和遥感估产的发展方向，为遥感估产的进一步研究提供了方

向和思路。

关键字：遥感技术，农业，估产

The Application of Remote Sensing Technology

in Estimating Crop Yield

Abstract Estimating crop yield by remote sensing is a technology monitoring and forecasting crop yield by remote sensing based on specific spectrum characteristics of crop. It has incomparable advantages compared with traditional statistical methods in the development of agriculture and it can acquire growing and yield information of crops in a object,dynamic,fast and accurate way. To estimating crop yield better, remote sensing technology must be combined with other technologies. In this paper, the application of remote sensing technology in estimating crop yield is introduced. To begin with, the basic theory and method of estimating crop yield by remote sensing are mentioned, then the merits and demerits of the estimating models integrated into remote sensing are analyzed. Finally, the existing problems and prospect are statemented, which proposed direction and thoughts for next researches. Key words Remote Sensing Technology,Agriculture,Yield Estimation

目录

1引言--------------------------------------------------------------3

2遥感估产的原理和方法----------------------------------------------3

2.1基本原理和方法------------------------------------------------3

2.2遥感估产方法评价----------------------------------------------3

2.3作物估产模型比较----------------------------------------------4

3主要粮食作物估产模型----------------------------------------------5

3.1冬小麦产量分阶段预测模型--------------------------------------5

3.1.1技术流程--------------------------------------------------5

3.1.2合理取样数估计和样方布设方法------------------------------6 3.1.3估产方法--------------------------------------------------6

3.1.4模型分析--------------------------------------------------7

3.2玉米产量估算模型----------------------------------------------8

3.2.1模型中应用的技术介绍--------------------------------------8

3.2.2处理方法--------------------------------------------------8

3.2.3信息提取--------------------------------------------------9

3.2.4模型与优化算法--------------------------------------------9

4现有遥感估产方法存在的问题和发展方向-----------------------------11 4.1遥感估产方法存在的问题---------------------------------------11

4.2遥感估产的发展方向-------------------------------------------11

5结束语-----------------------------------------------------------12

参考文献-----------------------------------------------------------13