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 :
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