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