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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Main Authors: Paringit, Maria Cecilia Rubio, Nadaoka, Kazuko, Paringit, Enrico C.
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Published: Animo Repository 2004
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/13542
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-13643
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spelling 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
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Remote-sensing images
Reflectance
Spectral reflectance
Civil and Environmental Engineering
Computer Engineering
spellingShingle 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
description 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.
format text
author Paringit, Maria Cecilia Rubio
Nadaoka, Kazuko
Paringit, Enrico C.
author_facet 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
publisher Animo Repository
publishDate 2004
url https://animorepository.dlsu.edu.ph/faculty_research/13542
_version_ 1818101937404379136