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Article: Recent developments in estimating land surface biogeophysical variables from optical remote sensing
Title | Recent developments in estimating land surface biogeophysical variables from optical remote sensing |
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Authors | |
Keywords | Atmospheric correction Data assimilation Genetic algorithm Look-up table Neural network Reflectance modelling Remote sensing Vegetation index |
Issue Date | 2007 |
Citation | Progress in Physical Geography, 2007, v. 31, n. 5, p. 501-516 How to Cite? |
Abstract | Earth system models and many other applications require biogeophysical variables, and remote sensing is the only means by which to estimate them at the appropriate spatial and temporal scales. Developing advanced inversion methods to solve ill-posed multidimensional nonlinear inversion problems is critical and very challenging. This article reviews state-of-the-art algorithms for estimating land surface biogeophysical variables in optical remote sensing (from the visible to the thermal infrared spectrum) to stimulate the development of new algorithms and to utilize existing ones. © 2007 SAGE Publications. |
Persistent Identifier | http://hdl.handle.net/10722/321338 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.861 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liang, Shunlin | - |
dc.date.accessioned | 2022-11-03T02:18:15Z | - |
dc.date.available | 2022-11-03T02:18:15Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | Progress in Physical Geography, 2007, v. 31, n. 5, p. 501-516 | - |
dc.identifier.issn | 0309-1333 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321338 | - |
dc.description.abstract | Earth system models and many other applications require biogeophysical variables, and remote sensing is the only means by which to estimate them at the appropriate spatial and temporal scales. Developing advanced inversion methods to solve ill-posed multidimensional nonlinear inversion problems is critical and very challenging. This article reviews state-of-the-art algorithms for estimating land surface biogeophysical variables in optical remote sensing (from the visible to the thermal infrared spectrum) to stimulate the development of new algorithms and to utilize existing ones. © 2007 SAGE Publications. | - |
dc.language | eng | - |
dc.relation.ispartof | Progress in Physical Geography | - |
dc.subject | Atmospheric correction | - |
dc.subject | Data assimilation | - |
dc.subject | Genetic algorithm | - |
dc.subject | Look-up table | - |
dc.subject | Neural network | - |
dc.subject | Reflectance modelling | - |
dc.subject | Remote sensing | - |
dc.subject | Vegetation index | - |
dc.title | Recent developments in estimating land surface biogeophysical variables from optical remote sensing | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1177/0309133307084626 | - |
dc.identifier.scopus | eid_2-s2.0-37049007853 | - |
dc.identifier.volume | 31 | - |
dc.identifier.issue | 5 | - |
dc.identifier.spage | 501 | - |
dc.identifier.epage | 516 | - |
dc.identifier.isi | WOS:000251036000004 | - |