基于中高分辨率卫星遥感数据的县域冬小麦估产  

Winter wheat yield estimation based on high and moderate resolution remote sensing data at county level

作　　者：秦元伟[1] 赵庚星[1] 姜曙千[1] 程晋南[1] 孟岩[1] 李百红[1] 许国臣 韩吉光 

机构地区：[1]山东农业大学资源与环境学院,泰安271018 [2]广饶县丁庄镇人民政府,东营257300

出　　处：《农业工程学报》2009年第7期118-123,共6页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家级星火计划重点项目(2007EA740002);科技部"十一五"科技支撑(2006BAD10A10);863计划项目(2008AA10Z203)

摘　　要：随着人口的增加和耕地面积的不断减少,粮食安全问题一直备受关注。该文以山东省广饶县为研究区,探讨基于中高分辨率卫星遥感数据的县域冬小麦估产技术。采用陆地卫星和中巴资源卫星(CBERS)中高分辨率遥感图像,选择冬小麦信息较为突出的4个相似时相,经几何精校正、掩膜、相对辐射校正等预处理,在分析研究区典型地物光谱特征的基础上,采用决策树分类方法提取冬小麦种植面积。同时,利用植被指数变化规律对各时相植被指数进行修正,根据植被指数分布情况及其与产量的关系,分别构建了基于像元比值植被指数之和(∑RVI)及不同长势区归一化植被指数(NDVI)的冬小麦估产模型。结果显示:各时相冬小麦种植面积的提取精度均在96%以上,且具有较好的空间精度;二种估产模型的估产精度分别达到了96%以上和94.74%,效果较好。研究为县域冬小麦产量的预测提供了有效方法,能更好地指导冬小麦生产和粮食政策的制定,对区域农业可持续发展和粮食安全有积极价值。Grain safety has been attracting much more attention as the population increasing and cultivated land decreasing continually.Taking Guangrao County,Shandong Province as the study area,winter wheat yield estimation techniques were explored based on high and moderate resolution remote sensing data at county level.Selecting four medium and high resolution images of Landsat and China-Brazil Earth Resources Satellite（CBERS）,which hare the similar temporal characteristics with obvious winter wheat information,the area of winter wheat was acquired by a decision tree classification approach through image pre-processing,including geometric accurate correction,masking and relative radiometric calibration,based on the analysis of spectrum characteristics of typical objects in the study area.Vegetation indexes were calibrated according to their changing trends,and winter wheat yield estimation models were established based on the sum of vegetation index with pixel ratio（∑RVI）and normalized difference vegetation index（NDVI）in different growing areas,respectively,according to their relations to wheat yields.The results showed high precision for winter wheat area extraction of more than 96%,and precision for yield estimation of two models were better than 96%and 94.74%,respectively.The study provides an effective method for winter wheat yield prediction,which is favorable for winter wheat production and grain policy-making and has significance for regional agriculture sustainable development and grain safety.

关 键 词：相对辐射校正 决策树分类 植被指数 冬小麦估产 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] S127[自动化与计算机技术—控制科学与工程]