DocumentCode
2672979
Title
Advances in mapping woody plant canopies using the NASA MISR Instrument on terra
Author
Chopping, Mark ; Su, Lihong ; Kollikkathara, Naushad ; Urena, Libertad
Author_Institution
Montclair State Univ., Montclair
fYear
2007
fDate
23-28 July 2007
Firstpage
2515
Lastpage
2518
Abstract
Red (672 nm) band reflectance estimates from the NASA multi-angle imaging spectro-radiometer (MISR) on the earth observing system Terra satellite were used to obtain maps of woody plant fractional crown cover, mean canopy height, and biomass for large parts of south-eastern Arizona and southern New Mexico (>200,000 km2). MISR red band bidirectional reflectance estimates in nine views mapped to a 250 m grid were used to adjust the simple geometric-optical model (SGM) that is based on the principles of Boolean geometry first exploited in Li-Strahler geometric-optical (GO) models. The soil-understory background signal was decoupled a priori by exploiting relationships with the nadir camera reflectance data and the kernel weights of the LiSparse-RossThin kernel-driven bidirectional reflectance distribution function (BRDF) model. Maps of fractional crown cover, mean canopy height, and biomass were produced via retrievals of the mean crown radius and shape parameters from inversion of the SGM using the Praxis algorithm. The mean absolute error in randomly sampled and filtered estimates of fractional crown cover, mean canopy height, and woody biomass was 0.10, 2.2 meters, and 4.5 tons acre-1 (10.1 Mg ha-1), with RMS errors of 0.12, 3.3 and 6.2 (14.0), and coefficients of determination (R2) of 0.78, 0.69, and 0.81, respectively, significant at the 0.01 level (N=576).
Keywords
forestry; geometrical optics; radiometers; reflectivity; vegetation; vegetation mapping; Boolean geometry; NASA MISR instrument; Praxis algorithm; Terra satellite; bidirectional reflectance distribution function; biomass; fractional crown cover; mean canopy height; multi-angle imaging spectroradiometer; red band bidirectional reflectance; simple geometric-optical model; soil-understory background signal; southeastern Arizona; southern New Mexico; vegetation mapping; woody plant canopies; Bidirectional control; Biomass; Cameras; Geometry; Instruments; Kernel; NASA; Reflectivity; Satellites; Solid modeling; MISR; biomass; canopy structure; forest;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423355
Filename
4423355
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