DocumentCode
1492703
Title
Generating 275-m Resolution Land Surface Products From the Multi-Angle Imaging SpectroRadiometer Data
Author
Verstraete, Michel M. ; Hunt, Linda A. ; Scholes, Robert J. ; Clerici, Marco ; Pinty, Bernard ; Nelson, David L.
Author_Institution
Inst. for Environ. & Sustainability, Eur. Comm., Ispra, Italy
Volume
50
Issue
10
fYear
2012
Firstpage
3980
Lastpage
3990
Abstract
This paper shows how to reconstruct the original 275-m resolution data of the Multi-angle Imaging SpectroRadiometer (MISR) instrument in the 24 spectrodirectional global mode channels that are spatially averaged to 1.1 km on-board the Terra platform, with negligible loss of information relative to images acquired in native-resolution local mode. Standard approaches to improve the spatial resolution of products rely on one (typically panchromatic) high-resolution (HR) image to sharpen multiple spectral images. In the case of the MISR-HR package described here, three of the 12 available HR channels are combined to regenerate each of the 24 reduced-resolution channel to its native resolution. The accurate and rigorously reconstructed spectral bidirectional reflectance data allow sensitive and physically meaningful land surface attributes to be recovered at a spatial resolution appropriate to document the spatial heterogeneity of the land surface and relevant for climate and environment studies. MISR has been in continuous operation since February 2000 and provides global coverage in at most nine days (depending on latitude). This technique allows the generation of quantitative information to monitor change and model ecosystem function virtually anywhere and at any time during the last decade. The potential is demonstrated for a savanna landscape in South Africa.
Keywords
ecology; geophysical image processing; radiometry; terrain mapping; AD 2000 02; MISR instrument; MISR-HR package; Multiangle Imaging SpectroRadiometer data; South Africa; Terra platform; ecosystem function; information loss; land surface product; native resolution local mode; reduced resolution channel; savanna landscape; spatial heterogeneity; spatial resolution; spectral bidirectional reflectance data; Cameras; Instruments; Land surface; Orbits; Sensors; Spatial resolution; Surface topography; Africa; Earth observing system; ecosystems; high-resolution imaging; inverse problems; spectroradiometers; vegetation mapping;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2012.2189575
Filename
6182711
Link To Document