Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images
Optical signals from an object may vary at different conditions caused by differences in light source and sensor position. Knowledge of these variations is necessary to enable calibration of the satellite images and confirmation of the sun and sensor angles influences of the spectral signals from th...
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oai:animorepository.dlsu.edu.ph:faculty_research-136432024-12-02T06:21:46Z Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images Paringit, Maria Cecilia Rubio Nadaoka, Kazuko Paringit, Enrico C. Optical signals from an object may vary at different conditions caused by differences in light source and sensor position. Knowledge of these variations is necessary to enable calibration of the satellite images and confirmation of the sun and sensor angles influences of the spectral signals from the objects. With the use high-resolution Ikonos T™ multi-angular images, the bi-directional reflectance effects of mangrove trees were observed when three datasets were compared. The influence of bi-directional reflectance may affect the accuracy of interpreting satellite imagery and obtaining biophysical parameters mangrove and other vegetation by indirect means. 2004-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/13542 Faculty Research Work Animo Repository Remote-sensing images Reflectance Spectral reflectance Civil and Environmental Engineering Computer Engineering |
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Remote-sensing images Reflectance Spectral reflectance Civil and Environmental Engineering Computer Engineering |
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Remote-sensing images Reflectance Spectral reflectance Civil and Environmental Engineering Computer Engineering Paringit, Maria Cecilia Rubio Nadaoka, Kazuko Paringit, Enrico C. Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images |
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Optical signals from an object may vary at different conditions caused by differences in light source and sensor position. Knowledge of these variations is necessary to enable calibration of the satellite images and confirmation of the sun and sensor angles influences of the spectral signals from the objects. With the use high-resolution Ikonos T™ multi-angular images, the bi-directional reflectance effects of mangrove trees were observed when three datasets were compared. The influence of bi-directional reflectance may affect the accuracy of interpreting satellite imagery and obtaining biophysical parameters mangrove and other vegetation by indirect means. |
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text |
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Paringit, Maria Cecilia Rubio Nadaoka, Kazuko Paringit, Enrico C. |
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Paringit, Maria Cecilia Rubio Nadaoka, Kazuko Paringit, Enrico C. |
author_sort |
Paringit, Maria Cecilia Rubio |
title |
Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images |
title_short |
Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images |
title_full |
Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images |
title_fullStr |
Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images |
title_full_unstemmed |
Bi-directional reflectance effects on mangrove classification of IKONOS™ multi-angular images |
title_sort |
bi-directional reflectance effects on mangrove classification of ikonos™ multi-angular images |
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Animo Repository |
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2004 |
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https://animorepository.dlsu.edu.ph/faculty_research/13542 |
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