DocumentCode :
2089674
Title :
Study on combination of remote sensing data and ALMANAC model to retrieve crop yield
Author :
Yan, Sun ; Ce, Zhang ; Shuqing, Zhang ; Huapeng, Li
Author_Institution :
Northeast Inst. of Geogr. & Agroecology, Chinese Acad. of Sci., Changchun, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
613
Lastpage :
616
Abstract :
This paper takes LAI which is the key state variable of crop as combination point, achieve the assimilation between ALMANAC and MODIS LAI using simulated annealing algorithm. Compared Actual yield and assimilated ALMANAC´s output, the result shows that assimilation is a feasible way to yield estimation, the result also shows that the number of external data assimilation has great impact on simulation.
Keywords :
crops; remote sensing; simulated annealing; ALMANAC model; MODIS LAI; crop yield retrieval; data assimilation; remote sensing data; simulated annealing algorithm; Agriculture; Biological system modeling; Data models; MODIS; Optimization; Remote sensing; Spatial resolution; ALMANAC; Assimilation; MODIS; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location :
Zibo
Print_ISBN :
978-1-4244-9574-0
Type :
conf
DOI :
10.1109/ICAE.2011.5943871
Filename :
5943871
Link To Document :
بازگشت