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- Publisher Website: 10.1109/TGRS.2013.2272935
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Article: Fusion of satellite land surface albedo products across scales using a multiresolution tree method in the north central United States
Title | Fusion of satellite land surface albedo products across scales using a multiresolution tree method in the north central United States |
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Authors | |
Keywords | Albedo data fusion Moderate Resolution Imaging Spectroradiometer (MODIS) Multiangle Imaging Spectroradiometer (MISR) multiresolution tree (MRT) Thematic Mapper (TM) |
Issue Date | 2014 |
Citation | IEEE Transactions on Geoscience and Remote Sensing, 2014, v. 52, n. 6, p. 3428-3439 How to Cite? |
Abstract | Land surface albedo is a key factor in climate change and land surface modeling studies, which affects the surface radiation budget. Many satellite albedo products have been generated during the last several decades. However, due to the problems resulting from the sensor characteristics (spectral bands, spatial and temporal resolutions, etc.) and/or the retrieving procedures, surface albedo estimations from different satellite sensors are inconsistent and often contain gaps, which limit their applications. Many approaches have been developed to generate the complete albedo data set; however, most of them suffer from either the persistent systematic bias of relying on only one data set or the problem of subpixel heterogeneity. In this paper, a data fusion method is prototyped using multiresolution tree (MRT) models to develop spatially and temporally continuous albedo maps from different satellite albedo/reflectance data sets. Data from the Multiangle Imaging Spectroradiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Landsat Thematic Mapper/Enhanced Thematic Mapper Plus are used as examples, at a study area in the north central United States mostly covered by crop, grass, and forest, from June to September 2005. Results show that the MRT data fusion method is capable of integrating the three satellite data sets at different spatial resolutions to fill the gaps and to reduce the inconsistencies between different products. The validation results indicate that the uncertainties of the three satellite products have been reduced significantly through the data fusion procedure. Further efforts are needed to evaluate and improve the current algorithm over other locations, time periods, and land cover types. © 2013 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/321571 |
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 2.403 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | He, Tao | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Wang, Dongdong | - |
dc.contributor.author | Shuai, Yanmin | - |
dc.contributor.author | Yu, Yunyue | - |
dc.date.accessioned | 2022-11-03T02:19:55Z | - |
dc.date.available | 2022-11-03T02:19:55Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing, 2014, v. 52, n. 6, p. 3428-3439 | - |
dc.identifier.issn | 0196-2892 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321571 | - |
dc.description.abstract | Land surface albedo is a key factor in climate change and land surface modeling studies, which affects the surface radiation budget. Many satellite albedo products have been generated during the last several decades. However, due to the problems resulting from the sensor characteristics (spectral bands, spatial and temporal resolutions, etc.) and/or the retrieving procedures, surface albedo estimations from different satellite sensors are inconsistent and often contain gaps, which limit their applications. Many approaches have been developed to generate the complete albedo data set; however, most of them suffer from either the persistent systematic bias of relying on only one data set or the problem of subpixel heterogeneity. In this paper, a data fusion method is prototyped using multiresolution tree (MRT) models to develop spatially and temporally continuous albedo maps from different satellite albedo/reflectance data sets. Data from the Multiangle Imaging Spectroradiometer (MISR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Landsat Thematic Mapper/Enhanced Thematic Mapper Plus are used as examples, at a study area in the north central United States mostly covered by crop, grass, and forest, from June to September 2005. Results show that the MRT data fusion method is capable of integrating the three satellite data sets at different spatial resolutions to fill the gaps and to reduce the inconsistencies between different products. The validation results indicate that the uncertainties of the three satellite products have been reduced significantly through the data fusion procedure. Further efforts are needed to evaluate and improve the current algorithm over other locations, time periods, and land cover types. © 2013 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | - |
dc.subject | Albedo | - |
dc.subject | data fusion | - |
dc.subject | Moderate Resolution Imaging Spectroradiometer (MODIS) | - |
dc.subject | Multiangle Imaging Spectroradiometer (MISR) | - |
dc.subject | multiresolution tree (MRT) | - |
dc.subject | Thematic Mapper (TM) | - |
dc.title | Fusion of satellite land surface albedo products across scales using a multiresolution tree method in the north central United States | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TGRS.2013.2272935 | - |
dc.identifier.scopus | eid_2-s2.0-84896391719 | - |
dc.identifier.volume | 52 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 3428 | - |
dc.identifier.epage | 3439 | - |
dc.identifier.isi | WOS:000332504700034 | - |