Skip all navigation and jump to content Jump to site navigation
NASA Logo - Goddard Space Flight Center

+ NASA Homepage

    
Goddard Space Flight Center
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

He, X, Jing, YS, Gu, XH, Huang, WJ (2010). A Province-Scale Maize Yield Estimation Method Based on TM and Modis Time-Series Interpolation. SENSOR LETTERS, 8(1), 2-5.

Abstract
Crop yield estimation has always been important for social and government departments. This 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 2008. Through 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 model. Based 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 estimation. The 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.

DOI:
10.1166/sl.2010.1191

ISSN:
1546-198X

FirstGov logo Privacy Policy and Important Notices NASA logo

Curator: Brandon Maccherone
NASA Official: Shannell Frazier

NASA Home Page Goddard Space Flight Center Home Page