MSU Earth&Environmental Studies EoS project EAES RS Lab BikeMS

Jan 2007 Combined SGM Results: Data Outputs

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  • This work is aimed at demonstrating new remote sensing techniques that are appropriate for application over very large areas.

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  • Canopy cover, height, and aboveground biomass maps, produced using the approach and method described in Chopping et al, 2008

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  • More canopy cover, height, and aboveground biomass maps, produced using the same approach but for Rocky Mountain forest and assessed against CLPX lidar data. New work (12/08-01/09) has revealed that the multispectral An (nadir) camera data are not helpful in estimating a dynamic background.

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  • The three source MISR data sets:
    • Multi-Angle Observations (mao)
    • Nadir view MISR data (An camera) and
    • AMBRALS outputs from inversion of the LiSparse-RossThin BRDF model using the MAO data
    are available on the code page.

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  • Summary for the NASA LCLUC Program, February 2007 (PDF, 2 MB)

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  • Get the code used to produce the maps.

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  • Compositing: We obtained good results using 3 MISR data sets for each orbital path (AZ1, AZ2 and NM). The criterion for combining these was min(RMSE) on fitting SGM to the data: a minimum error compositing technique where the model inversion with the lowest RMSE is selected. This removes data contaminated by clouds and other atmospheric attenuation anomalies very effectively. To date, we have found that the 70 degree zenith angle observations are essential for retrieval of canopy height; excluding the MISR D cameras only fractional cover can be obtained. This precludes retrievals in areas of extreme topography owing to shading and view obscuration. This page has the graphical model used.

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  • Recent Publications

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  • Results vs. USFS IW-FIA map data (feeters and meet corrected; XLS)
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    EAES RS Lab | Jornada | BRDF/AVHRR