High-Resolution BRDF and Albedo Parameters Inversion from Sentinel-2 Multispectral Instrument Data
- Resource Type
- Conference
- Authors
- Chen, Fang; Li, Yingjie; Ma, Qingmiao; Li, Xin; Chen, Jing; Li, Ming; Gao, Chengzhi; Yang, Xinyue
- Source
- IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2020 - 2020 IEEE International. :6694-6697 Sep, 2020
- Subject
- Aerospace
Computing and Processing
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
MODIS
Atmospheric modeling
Satellites
Remote sensing
Land surface
Scattering
Reflectivity
Albedo
bidirectional reflectance distribution function
quantitative remote sensing
Sentinel-2
- Language
- ISSN
- 2153-7003
In this paper, an algorithm of the land surface bidirectional reflectance distribution function (BRDF) and albedo parameters inversion is proposed based on a simplified atmospheric radiative transfer model coupling with the BRDF model. The algorithm is applied to the Sentinel-2 Multi-Spectral Instrument (MSI) data. To validate the inversion, the BRDF/ albedo parameters derived from the MODerate Resolution Imaging Spectroradiometer (MODIS) were collected and resampled to match the MSI data. The preliminary validation shows a good consistency between the two datasets with the correlative coefficient (R) greater than 0.8 and the root-mean-square error (RMSE) less than 0.05 for the red and near infrared bands. The advantage of this algorithm is that the spatial resolution of the satellite-derived BRDF/albedo parameters can be improved as high as 20 m, which has great potential in quantitative remote sensing applications.