Estimation of Land Surface Bidirectional Reflectance Distribution Function by Using Airborne POLDER Image Data

Kazuya TAKEMATA; Yoshiyuki KAWATA

Estimation of Land Surface Bidirectional Reflectance Distribution Function by Using Airborne POLDER Image Data

Kazuya TAKEMATA, Yoshiyuki KAWATA

Full Text Views

0

Cite this

Summary :

The Bidirectional Reflectance Distribution Function (BRDF) is an intrinsic measurement of directional properties of the earth's surface. However, the estimation of the BRDF requires many remote sensing measurements of a given surface target from different viewing angles. In addition, a good atmospheric correction scheme is a prerequisite for such an attempt. The airborne POLDER sensor measures successively reflected radiation by terrestrial surfaces in a framed image form at different viewing angles during a single airplane pass, like taking snap-shot pictures. A specially improved atmospheric correction algorithm which is applicable to a framed image data by POLDER sensor is presented. The observed reflectance images taken successively by the airborne POLDER at slightly different viewing angles are converted to a series of surface albedo images by applying our atmospheric correction algorithm. Then, the BRDFs for three surface covers, namely, "River Water," "Forest," and "Rice Field," are estimated by using successive albedo images. It is found that the BRDF for "River Water" follows Lambert law at both 550nm and 850nm. It is also found that the BRDFs for "Forest" and "Rice Field" follow Lambert's law at 550nm, but they follow an anisotropic reflection law at 850nm and fitting parameters for their BRDFs are presented.

Publication: IEICE TRANSACTIONS on Communications Vol.E78-B No.12 pp.1591-1597

Publication Date: 1995/12/25

Publicized

Online ISSN

DOI

Type of Manuscript: Special Section PAPER (Special Issue on Satellite Remote Sensing)

Category

Cite this

Copy

Kazuya TAKEMATA, Yoshiyuki KAWATA, "Estimation of Land Surface Bidirectional Reflectance Distribution Function by Using Airborne POLDER Image Data" in IEICE TRANSACTIONS on Communications, vol. E78-B, no. 12, pp. 1591-1597, December 1995, doi: .
Abstract: The Bidirectional Reflectance Distribution Function (BRDF) is an intrinsic measurement of directional properties of the earth's surface. However, the estimation of the BRDF requires many remote sensing measurements of a given surface target from different viewing angles. In addition, a good atmospheric correction scheme is a prerequisite for such an attempt. The airborne POLDER sensor measures successively reflected radiation by terrestrial surfaces in a framed image form at different viewing angles during a single airplane pass, like taking snap-shot pictures. A specially improved atmospheric correction algorithm which is applicable to a framed image data by POLDER sensor is presented. The observed reflectance images taken successively by the airborne POLDER at slightly different viewing angles are converted to a series of surface albedo images by applying our atmospheric correction algorithm. Then, the BRDFs for three surface covers, namely, "River Water," "Forest," and "Rice Field," are estimated by using successive albedo images. It is found that the BRDF for "River Water" follows Lambert law at both 550nm and 850nm. It is also found that the BRDFs for "Forest" and "Rice Field" follow Lambert's law at 550nm, but they follow an anisotropic reflection law at 850nm and fitting parameters for their BRDFs are presented.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e78-b_12_1591/_p

Copy

@ARTICLE{e78-b_12_1591,
author={Kazuya TAKEMATA, Yoshiyuki KAWATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Estimation of Land Surface Bidirectional Reflectance Distribution Function by Using Airborne POLDER Image Data},
year={1995},
volume={E78-B},
number={12},
pages={1591-1597},
abstract={The Bidirectional Reflectance Distribution Function (BRDF) is an intrinsic measurement of directional properties of the earth's surface. However, the estimation of the BRDF requires many remote sensing measurements of a given surface target from different viewing angles. In addition, a good atmospheric correction scheme is a prerequisite for such an attempt. The airborne POLDER sensor measures successively reflected radiation by terrestrial surfaces in a framed image form at different viewing angles during a single airplane pass, like taking snap-shot pictures. A specially improved atmospheric correction algorithm which is applicable to a framed image data by POLDER sensor is presented. The observed reflectance images taken successively by the airborne POLDER at slightly different viewing angles are converted to a series of surface albedo images by applying our atmospheric correction algorithm. Then, the BRDFs for three surface covers, namely, "River Water," "Forest," and "Rice Field," are estimated by using successive albedo images. It is found that the BRDF for "River Water" follows Lambert law at both 550nm and 850nm. It is also found that the BRDFs for "Forest" and "Rice Field" follow Lambert's law at 550nm, but they follow an anisotropic reflection law at 850nm and fitting parameters for their BRDFs are presented.},
keywords={},
doi={},
ISSN={},
month={December},}

Copy

TY - JOUR
TI - Estimation of Land Surface Bidirectional Reflectance Distribution Function by Using Airborne POLDER Image Data
T2 - IEICE TRANSACTIONS on Communications
SP - 1591
EP - 1597
AU - Kazuya TAKEMATA
AU - Yoshiyuki KAWATA
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E78-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 1995
AB - The Bidirectional Reflectance Distribution Function (BRDF) is an intrinsic measurement of directional properties of the earth's surface. However, the estimation of the BRDF requires many remote sensing measurements of a given surface target from different viewing angles. In addition, a good atmospheric correction scheme is a prerequisite for such an attempt. The airborne POLDER sensor measures successively reflected radiation by terrestrial surfaces in a framed image form at different viewing angles during a single airplane pass, like taking snap-shot pictures. A specially improved atmospheric correction algorithm which is applicable to a framed image data by POLDER sensor is presented. The observed reflectance images taken successively by the airborne POLDER at slightly different viewing angles are converted to a series of surface albedo images by applying our atmospheric correction algorithm. Then, the BRDFs for three surface covers, namely, "River Water," "Forest," and "Rice Field," are estimated by using successive albedo images. It is found that the BRDF for "River Water" follows Lambert law at both 550nm and 850nm. It is also found that the BRDFs for "Forest" and "Rice Field" follow Lambert's law at 550nm, but they follow an anisotropic reflection law at 850nm and fitting parameters for their BRDFs are presented.
ER -