A Province-Scale Maize Yield Estimation Method Based on TM and Modis Time-Series Interpolation

作     者：Xin He~1 Yuanshu Jing~(1 *) Xiaohe Gu~2 and Wenjiang Huang~2 1 Applied Meteorology College in Nanjing University of Information Science and Technology Nanjing Jiangsu Province 210044 P.R.China 2 National Engineering Research Center for Information Technology in Agriculture Beijing 100097 P.R.China 

会议名称：《第三届国际计算机及计算技术农业应用学术会议》

会议日期：2010年

学科分类：081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Hi-Tech Research and Development Program of China(Grant No:2006AA120101) 

关 键 词：Maize TM MODIS Yield Estimation 

摘      要：正Crop yield estimation has always been important for social and government *** study was supported by six TM images in different growth period and a MODIS image which was stacked by eight 16-day NDVI images and covered the whole growth period of the maize in Shandong province in *** gaining the standards time-series growth curve of maize NDVI from MODIS image,we built the interpolated model which represented the maize characteristic growth,and then interpolated the TM images at different growth period into milky stage by using this *** on the medium-resolution data setting at milky stage and ground measured data, we built ground-medium resolution linear regression model and medium-low resolution multiple linear regression model for maize yield *** results showed that the accuracy of every city yield was high,completely more than 95%;and the accuracy of entire province production is 94%.This study attempted to carry out a business running system for province-scale maize yield estimation by remote sensing.