Geometric-Optical Modeling with MISR Over the Kola Peninsula
This study presents the results of a geometric-optical canopy reflectance model inversion experiment for canopy mapping in the taiga-tundra transition landscapes of the Kola Peninsula, Russia. The approach exploits red wavelength multi-angle reflectance factor data provided by NASA's Multiangle...
Published in: | 2012 IEEE International Geoscience and Remote Sensing Symposium |
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Online Access: | https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/316 https://doi.org/10.1109/IGARSS.2012.6352749 |
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ftmontclairstuni:oai:digitalcommons.montclair.edu:earth-environ-studies-facpubs-1315 2023-07-23T04:20:10+02:00 Geometric-Optical Modeling with MISR Over the Kola Peninsula Chopping, Mark 2012-12-01T08:00:00Z https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/316 https://doi.org/10.1109/IGARSS.2012.6352749 unknown Montclair State University Digital Commons https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/316 doi:10.1109/IGARSS.2012.6352749 Department of Earth and Environmental Studies Faculty Scholarship and Creative Works BRDF MISR forest structure taiga text 2012 ftmontclairstuni https://doi.org/10.1109/IGARSS.2012.6352749 2023-07-03T21:48:21Z This study presents the results of a geometric-optical canopy reflectance model inversion experiment for canopy mapping in the taiga-tundra transition landscapes of the Kola Peninsula, Russia. The approach exploits red wavelength multi-angle reflectance factor data provided by NASA's Multiangle Imaging SpectroRadiometer (MISR), with its nine cameras. Results were assessed with respect to reference data for 53 sites obtained by analysis of very high resolution imagery. Crown cover was retrieved accurately (RMSE= 0.04, R 2= 0.65), with mean canopy height somewhat less so (RMSE= 1.9 m, R2= 0.54). Text kola peninsula taiga Tundra Montclair State University Digital Commons Kola Peninsula 2012 IEEE International Geoscience and Remote Sensing Symposium 6499 6502 |
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Montclair State University Digital Commons |
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BRDF MISR forest structure taiga |
spellingShingle |
BRDF MISR forest structure taiga Chopping, Mark Geometric-Optical Modeling with MISR Over the Kola Peninsula |
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BRDF MISR forest structure taiga |
description |
This study presents the results of a geometric-optical canopy reflectance model inversion experiment for canopy mapping in the taiga-tundra transition landscapes of the Kola Peninsula, Russia. The approach exploits red wavelength multi-angle reflectance factor data provided by NASA's Multiangle Imaging SpectroRadiometer (MISR), with its nine cameras. Results were assessed with respect to reference data for 53 sites obtained by analysis of very high resolution imagery. Crown cover was retrieved accurately (RMSE= 0.04, R 2= 0.65), with mean canopy height somewhat less so (RMSE= 1.9 m, R2= 0.54). |
format |
Text |
author |
Chopping, Mark |
author_facet |
Chopping, Mark |
author_sort |
Chopping, Mark |
title |
Geometric-Optical Modeling with MISR Over the Kola Peninsula |
title_short |
Geometric-Optical Modeling with MISR Over the Kola Peninsula |
title_full |
Geometric-Optical Modeling with MISR Over the Kola Peninsula |
title_fullStr |
Geometric-Optical Modeling with MISR Over the Kola Peninsula |
title_full_unstemmed |
Geometric-Optical Modeling with MISR Over the Kola Peninsula |
title_sort |
geometric-optical modeling with misr over the kola peninsula |
publisher |
Montclair State University Digital Commons |
publishDate |
2012 |
url |
https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/316 https://doi.org/10.1109/IGARSS.2012.6352749 |
geographic |
Kola Peninsula |
geographic_facet |
Kola Peninsula |
genre |
kola peninsula taiga Tundra |
genre_facet |
kola peninsula taiga Tundra |
op_source |
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works |
op_relation |
https://digitalcommons.montclair.edu/earth-environ-studies-facpubs/316 doi:10.1109/IGARSS.2012.6352749 |
op_doi |
https://doi.org/10.1109/IGARSS.2012.6352749 |
container_title |
2012 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
6499 |
op_container_end_page |
6502 |
_version_ |
1772183949443858432 |