DocumentCode
576248
Title
Appropriate spatial resolution analysis based on land surface heterogeneity
Author
Ma, Lingling ; Wang, Xinhong ; Li, Chuanrong ; Qiu, Shi
Author_Institution
Acad. of Opto-Electron., Beijing, China
fYear
2012
fDate
22-27 July 2012
Firstpage
439
Lastpage
442
Abstract
In order to meet the various demands of remote sensing applications, it is still worth being discussed that whether higher resolution is necessarily better. Actually, the spatial resolution should be carefully chosen according to application demands, for optimizing the balance of effectiveness and cost. In this paper the concept of “appropriate spatial resolution” is used, which should be the spatial scale with least data volume and most interested information, while not the highest precision of information. Characterization of spatial heterogeneity is the basis of analyzing spatial structure of the image under the given spatial resolution, and it is also the basis of selection of appropriate spatial resolution. Based on the wavelet variance method to characterize spatial heterogeneity, appropriate spatial resolutions of albedo, NDVI and surface radiation temperature on the same research area are given. Results show that appropriate spatial resolutions to various retrieved physical properties are different due to different grades of spatial heterogeneity. Proper scale range will be obtained to observe certain geographic quantity, by operation of the appropriate resolution selection.
Keywords
geophysical techniques; remote sensing; albedo appropriate spatial resolution; geographic quantity; land surface heterogeneity; least data volume; remote sensing applications; spatial heterogeneity characterization; spatial resolution analysis; spatial scale; wavelet variance method; Land surface; Remote sensing; Spatial resolution; Surface waves; Wavelet analysis; Wavelet transforms; Appropriate spatial resolution; heterogeneity; remote sensing; spatial scale; wavelet variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351544
Filename
6351544
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