Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products
Surface albedo is one of the key controlling geophysical parameters in the surface energy budget studies, and its temporal and spatial variation is closely related to the global climate change and regional weather system due to the albedo feedback mechanism. As an efficient tool for monitoring the s...
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ftdoajarticles:oai:doaj.org/article:bdc240bc3eea4107a4f3790dc9ab9df1 2023-05-15T18:18:33+02:00 Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products Ying Qu Shunlin Liang Qiang Liu Tao He Suhong Liu Xiaowen Li 2015-01-01T00:00:00Z https://doi.org/10.3390/rs70100990 https://doaj.org/article/bdc240bc3eea4107a4f3790dc9ab9df1 EN eng MDPI AG http://www.mdpi.com/2072-4292/7/1/990 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs70100990 https://doaj.org/article/bdc240bc3eea4107a4f3790dc9ab9df1 Remote Sensing, Vol 7, Iss 1, Pp 990-1020 (2015) surface albedo Bidirectional Reflectance Distribution Function (BRDF) remote sensing surface energy budget Global Land Surface Satellite (GLASS) Science Q article 2015 ftdoajarticles https://doi.org/10.3390/rs70100990 2022-12-31T15:16:51Z Surface albedo is one of the key controlling geophysical parameters in the surface energy budget studies, and its temporal and spatial variation is closely related to the global climate change and regional weather system due to the albedo feedback mechanism. As an efficient tool for monitoring the surfaces of the Earth, remote sensing is widely used for deriving long-term surface broadband albedo with various geostationary and polar-orbit satellite platforms in recent decades. Moreover, the algorithms for estimating surface broadband albedo from satellite observations, including narrow-to-broadband conversions, bidirectional reflectance distribution function (BRDF) angular modeling, direct-estimation algorithm and the algorithms for estimating albedo from geostationary satellite data, are developed and improved. In this paper, we present a comprehensive literature review on algorithms and products for mapping surface broadband albedo with satellite observations and provide a discussion of different algorithms and products in a historical perspective based on citation analysis of the published literature. This paper shows that the observation technologies and accuracy requirement of applications are important, and long-term, global fully-covered (including land, ocean, and sea-ice surfaces), gap-free, surface broadband albedo products with higher spatial and temporal resolution are required for climate change, surface energy budget, and hydrological studies. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Remote Sensing 7 1 990 1020 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
surface albedo Bidirectional Reflectance Distribution Function (BRDF) remote sensing surface energy budget Global Land Surface Satellite (GLASS) Science Q |
spellingShingle |
surface albedo Bidirectional Reflectance Distribution Function (BRDF) remote sensing surface energy budget Global Land Surface Satellite (GLASS) Science Q Ying Qu Shunlin Liang Qiang Liu Tao He Suhong Liu Xiaowen Li Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products |
topic_facet |
surface albedo Bidirectional Reflectance Distribution Function (BRDF) remote sensing surface energy budget Global Land Surface Satellite (GLASS) Science Q |
description |
Surface albedo is one of the key controlling geophysical parameters in the surface energy budget studies, and its temporal and spatial variation is closely related to the global climate change and regional weather system due to the albedo feedback mechanism. As an efficient tool for monitoring the surfaces of the Earth, remote sensing is widely used for deriving long-term surface broadband albedo with various geostationary and polar-orbit satellite platforms in recent decades. Moreover, the algorithms for estimating surface broadband albedo from satellite observations, including narrow-to-broadband conversions, bidirectional reflectance distribution function (BRDF) angular modeling, direct-estimation algorithm and the algorithms for estimating albedo from geostationary satellite data, are developed and improved. In this paper, we present a comprehensive literature review on algorithms and products for mapping surface broadband albedo with satellite observations and provide a discussion of different algorithms and products in a historical perspective based on citation analysis of the published literature. This paper shows that the observation technologies and accuracy requirement of applications are important, and long-term, global fully-covered (including land, ocean, and sea-ice surfaces), gap-free, surface broadband albedo products with higher spatial and temporal resolution are required for climate change, surface energy budget, and hydrological studies. |
format |
Article in Journal/Newspaper |
author |
Ying Qu Shunlin Liang Qiang Liu Tao He Suhong Liu Xiaowen Li |
author_facet |
Ying Qu Shunlin Liang Qiang Liu Tao He Suhong Liu Xiaowen Li |
author_sort |
Ying Qu |
title |
Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products |
title_short |
Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products |
title_full |
Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products |
title_fullStr |
Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products |
title_full_unstemmed |
Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products |
title_sort |
mapping surface broadband albedo from satellite observations: a review of literatures on algorithms and products |
publisher |
MDPI AG |
publishDate |
2015 |
url |
https://doi.org/10.3390/rs70100990 https://doaj.org/article/bdc240bc3eea4107a4f3790dc9ab9df1 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Remote Sensing, Vol 7, Iss 1, Pp 990-1020 (2015) |
op_relation |
http://www.mdpi.com/2072-4292/7/1/990 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs70100990 https://doaj.org/article/bdc240bc3eea4107a4f3790dc9ab9df1 |
op_doi |
https://doi.org/10.3390/rs70100990 |
container_title |
Remote Sensing |
container_volume |
7 |
container_issue |
1 |
container_start_page |
990 |
op_container_end_page |
1020 |
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1766195164648308736 |