DocumentCode
440579
Title
Methods of three scales data integration of national typical land surface objects standardized spectral database
Author
Li, Xiang ; Guo, Xiao-Ying ; Liu, Su-Hong ; Tian, Zhen-Kun
Author_Institution
Sch. of Geogr., Beijing Normal Univ., China
Volume
2
fYear
2005
fDate
25-29 July 2005
Abstract
The implementation of associating various scale data is important to the construction of standardized spectral database of China national typical objects of land surface. This essay puts forward a solution to three scales spectral data integration, including component, canopy and pixel data. By the standardized mass spectral data processing with quality evaluation and key technology of database data link, we have achieved a platform to study various scales spectral data. It provides accessing database quickly and exploiting the application field of spectral data according to the detailed requirements, such as the query of spectral data conditioned by region or acquiring time, the exposition of characteristic spectral curves in different phases, scales and states together with corresponding parameters, etc. The architectural solution based on Oracle + COM + ASP efficiently meets the high-powered application in network environment.
Keywords
database management systems; mass spectra; spectral analysis; terrain mapping; vegetation mapping; ASP; COM; China; Oracle; canopy data; component data; database access; database data link; mass spectral data processing; network environment; pixel data; spectral curves; spectral data integration; spectral data query; spectral database; typical land surface objects; Agriculture; Bioinformatics; Data processing; Image databases; Instruments; Land surface; Remote sensing; Spatial databases; Spatial resolution; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International
Print_ISBN
0-7803-9050-4
Type
conf
DOI
10.1109/IGARSS.2005.1525210
Filename
1525210
Link To Document