Sensitivity of brdf sampling to albedo and angle index based on airborne multiangle data

Xiaoning Zhang; Ziti Jiao; Yadong Dong; Siyang Yin; Lei Cui; Hu Zhang; Anxin Ding; Yaxuan Chang; Rui Xie; Jing Guo

doi:10.1109/IGARSS.2019.8900135

Sensitivity of brdf sampling to albedo and angle index based on airborne multiangle data

Xiaoning Zhang, Ziti Jiao^*, Yadong Dong, Siyang Yin, Lei Cui, Hu Zhang, Anxin Ding, Yaxuan Chang, Rui Xie, Jing Guo

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

The surface anisotropy plays a key role in the quantitative remote sensing inversion, which is usually described as bidirectional reflectance distribution function (BRDF). Studies show that BRDF sampling has a significant effect on parameter inversion such as albedo. However, BRDF samplings are complex, and only specific samplings were considered in previous studies. In this study, we investigated the sensitivity of BRDF sampling to albedo and the normalized difference between hotspot and dark spot (NDHD) angular index based on the kernel-driven Ross-Li BRDF model. Albedo and NDHD calculated by a set of dense sampling airborne data were used as the reference data, and inversion results from many sparse samplings were compared to the reference results. The result shows the overall number, plane, range and symmetry in observing condition of BRDF sampling can affect albedo and NDHD estimation. Among typical sensors, POLDER shows best sampling while Landsat shows largest errors.

Original language	English
Pages	6696-6699
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2019.8900135
Publication status	Published - 2019
Externally published	Yes
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Keywords

Albedo
BRDF sampling
NDHD
The kernel-driven model

Access to Document

10.1109/IGARSS.2019.8900135

Cite this

@conference{c0af3e16f94542d2b8b436df40a0bf3c,

title = "Sensitivity of brdf sampling to albedo and angle index based on airborne multiangle data",

abstract = "The surface anisotropy plays a key role in the quantitative remote sensing inversion, which is usually described as bidirectional reflectance distribution function (BRDF). Studies show that BRDF sampling has a significant effect on parameter inversion such as albedo. However, BRDF samplings are complex, and only specific samplings were considered in previous studies. In this study, we investigated the sensitivity of BRDF sampling to albedo and the normalized difference between hotspot and dark spot (NDHD) angular index based on the kernel-driven Ross-Li BRDF model. Albedo and NDHD calculated by a set of dense sampling airborne data were used as the reference data, and inversion results from many sparse samplings were compared to the reference results. The result shows the overall number, plane, range and symmetry in observing condition of BRDF sampling can affect albedo and NDHD estimation. Among typical sensors, POLDER shows best sampling while Landsat shows largest errors.",

keywords = "Albedo, BRDF sampling, NDHD, The kernel-driven model",

author = "Xiaoning Zhang and Ziti Jiao and Yadong Dong and Siyang Yin and Lei Cui and Hu Zhang and Anxin Ding and Yaxuan Chang and Rui Xie and Jing Guo",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

doi = "10.1109/IGARSS.2019.8900135",

language = "English",

pages = "6696--6699",

}

Zhang, X, Jiao, Z, Dong, Y, Yin, S, Cui, L, Zhang, H, Ding, A, Chang, Y, Xie, R & Guo, J 2019, 'Sensitivity of brdf sampling to albedo and angle index based on airborne multiangle data', Paper presented at 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19 - 2/08/19 pp. 6696-6699. https://doi.org/10.1109/IGARSS.2019.8900135

TY - CONF

T1 - Sensitivity of brdf sampling to albedo and angle index based on airborne multiangle data

AU - Zhang, Xiaoning

AU - Jiao, Ziti

AU - Dong, Yadong

AU - Yin, Siyang

AU - Cui, Lei

AU - Zhang, Hu

AU - Ding, Anxin

AU - Chang, Yaxuan

AU - Xie, Rui

AU - Guo, Jing

PY - 2019

Y1 - 2019

N2 - The surface anisotropy plays a key role in the quantitative remote sensing inversion, which is usually described as bidirectional reflectance distribution function (BRDF). Studies show that BRDF sampling has a significant effect on parameter inversion such as albedo. However, BRDF samplings are complex, and only specific samplings were considered in previous studies. In this study, we investigated the sensitivity of BRDF sampling to albedo and the normalized difference between hotspot and dark spot (NDHD) angular index based on the kernel-driven Ross-Li BRDF model. Albedo and NDHD calculated by a set of dense sampling airborne data were used as the reference data, and inversion results from many sparse samplings were compared to the reference results. The result shows the overall number, plane, range and symmetry in observing condition of BRDF sampling can affect albedo and NDHD estimation. Among typical sensors, POLDER shows best sampling while Landsat shows largest errors.

AB - The surface anisotropy plays a key role in the quantitative remote sensing inversion, which is usually described as bidirectional reflectance distribution function (BRDF). Studies show that BRDF sampling has a significant effect on parameter inversion such as albedo. However, BRDF samplings are complex, and only specific samplings were considered in previous studies. In this study, we investigated the sensitivity of BRDF sampling to albedo and the normalized difference between hotspot and dark spot (NDHD) angular index based on the kernel-driven Ross-Li BRDF model. Albedo and NDHD calculated by a set of dense sampling airborne data were used as the reference data, and inversion results from many sparse samplings were compared to the reference results. The result shows the overall number, plane, range and symmetry in observing condition of BRDF sampling can affect albedo and NDHD estimation. Among typical sensors, POLDER shows best sampling while Landsat shows largest errors.

KW - Albedo

KW - BRDF sampling

KW - NDHD

KW - The kernel-driven model

UR - http://www.scopus.com/inward/record.url?scp=85113862117&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2019.8900135

DO - 10.1109/IGARSS.2019.8900135

M3 - Paper

AN - SCOPUS:85113862117

SP - 6696

EP - 6699

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Sensitivity of brdf sampling to albedo and angle index based on airborne multiangle data

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this