DocumentCode
2925459
Title
Using MODIS and TM Imageries to Assess the Effect of Cold Damage on Grain Production per Unit
Author
He, Yingbin ; Yao, Yanmin ; Chen, Youqi ; Li, Jianping
Author_Institution
Key Lab. of Resources Remote Sensing & Digital Agric., CAAS, Beijing, China
fYear
2011
fDate
19-20 Feb. 2011
Firstpage
2387
Lastpage
2395
Abstract
Data assimilation is extensively applied in agricultural remote sensing application. However, integration of multi-temporal and high spatial resolution images with crop growth model to evaluate the effect of cold damage on paddy rice was still absent. In this paper, authors applied data assimilation combining LANDSAT/TM, a series of TERRAMODIS images with SIMRIW model to detect how cold damage affected paddy rice yield per unit in the Wuchang county, Heilongjiang province for the year 2006. In the study, MODIS images selected corresponding to a series of the key rice growth phases were utilized to retrieve daily LAI values.
Keywords
agriculture; crops; remote sensing; LANDSAT/TM; MODIS; TERRA MODIS images; TM imageries; Wuchang county; agricultural remote sensing application; cold damage effect; crop growth model; data assimilation; grain production; high spatial resolution images; multitemporal resolution images; Agriculture; Correlation; Data assimilation; Data models; MODIS; Mathematical model; Remote sensing; LAI; MODIS; NDVI; TM; cold damage; data assimilation; rice yield per unit;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-61284-278-3
Electronic_ISBN
978-0-7695-4350-5
Type
conf
DOI
10.1109/CDCIEM.2011.568
Filename
5748304
Link To Document