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Article: Atmospheric correction of Landsat ETM+ land surface imagery-Part I: Methods
Title | Atmospheric correction of Landsat ETM+ land surface imagery-Part I: Methods |
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Authors | |
Keywords | Adjacency effect Aerosol Atmospheric correction Land surface Reflectance |
Issue Date | 2001 |
Citation | IEEE Transactions on Geoscience and Remote Sensing, 2001, v. 39, n. 11, p. 2490-2498 How to Cite? |
Abstract | To extract quantitative information from the Enhanced Thematic Mapper-Plus (ETM+) imagery accurately, atmospheric correction is a necessary step. After reviewing historical development of atmospheric correction of Landsat thematic mapper (TM) imagery, we present a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from ETM+ imagery under general atmospheric and surface conditions. This algorithm is therefore suitable for operational applications. A new formula that accounts for adjacency effects is also presented. Several examples are given to demonstrate that this new algorithm works very well under a variety of atmospheric and surface conditions. The companion paper will validate this method using ground measurements, and illustrate the improvements of several applications due to atmospheric correction. |
Persistent Identifier | http://hdl.handle.net/10722/321259 |
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 | Liang, Shunlin | - |
dc.contributor.author | Fang, Hongliang | - |
dc.contributor.author | Chen, Mingzhen | - |
dc.date.accessioned | 2022-11-03T02:17:42Z | - |
dc.date.available | 2022-11-03T02:17:42Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing, 2001, v. 39, n. 11, p. 2490-2498 | - |
dc.identifier.issn | 0196-2892 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321259 | - |
dc.description.abstract | To extract quantitative information from the Enhanced Thematic Mapper-Plus (ETM+) imagery accurately, atmospheric correction is a necessary step. After reviewing historical development of atmospheric correction of Landsat thematic mapper (TM) imagery, we present a new algorithm that can effectively estimate the spatial distribution of atmospheric aerosols and retrieve surface reflectance from ETM+ imagery under general atmospheric and surface conditions. This algorithm is therefore suitable for operational applications. A new formula that accounts for adjacency effects is also presented. Several examples are given to demonstrate that this new algorithm works very well under a variety of atmospheric and surface conditions. The companion paper will validate this method using ground measurements, and illustrate the improvements of several applications due to atmospheric correction. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | - |
dc.subject | Adjacency effect | - |
dc.subject | Aerosol | - |
dc.subject | Atmospheric correction | - |
dc.subject | Land surface | - |
dc.subject | Reflectance | - |
dc.title | Atmospheric correction of Landsat ETM+ land surface imagery-Part I: Methods | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/36.964986 | - |
dc.identifier.scopus | eid_2-s2.0-0035509491 | - |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 11 | - |
dc.identifier.spage | 2490 | - |
dc.identifier.epage | 2498 | - |
dc.identifier.isi | WOS:000172284900019 | - |