File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Modeling Anisotropic Reflectance over Composite Sloping Terrain

TitleModeling Anisotropic Reflectance over Composite Sloping Terrain
Authors
KeywordsAnisotropic reflectance
composite sloping terrain
diffuse skylight
subtopography
topographic effects
Issue Date2018
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2018, v. 56, n. 7, p. 3903-3923 How to Cite?
AbstractHeterogeneous terrain significantly complicates signals received by airborne or satellite sensors. It has been demonstrated that both solar direct beam and diffuse skylight illumination conditions are significant factors influencing the anisotropy of reflectance over mountainous areas. Several models and methods have been developed to account for topographic effects on surface reflectance at the pixel level in remote sensing. However, subtopographic effects are generally neglected for low-spatial-resolution pixels due to the complex law of radiative transfer and the limitations of higher spatial resolution digital elevation models, which can lead to deviations in reflectance estimation. Accurately estimating the subtopographic effects on anisotropic reflectance over composite sloping terrain under different illumination conditions presents a challenge for remote sensing models and applications. In this paper, the diffused equivalent slope model (dESM) was developed, which is an anisotropic reflectance simulation model coupled with diffuse skylight over composite sloping terrain. The corresponding subtopographic impact factor was also proposed to exhibit how microslope topography affects reflectance over composite sloping terrain under different illumination conditions. Simulated reflectance data sets simulated by the radiosity method and Moderate Resolution Imaging Spectroradiometer reflectance data were used to evaluate the performance of the dESM model. The results reveal that the dESM model can accurately capture the reflectance anisotropy over composite sloping terrain under different illumination conditions, and the subtopographic impact factor can account for the effects of microslope topography, shadow, and illumination conditions.
Persistent Identifierhttp://hdl.handle.net/10722/327187
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHao, Dalei-
dc.contributor.authorWen, Jianguang-
dc.contributor.authorXiao, Qing-
dc.contributor.authorWu, Shengbiao-
dc.contributor.authorLin, Xingwen-
dc.contributor.authorYou, Dongqin-
dc.contributor.authorTang, Yong-
dc.date.accessioned2023-03-31T05:29:35Z-
dc.date.available2023-03-31T05:29:35Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2018, v. 56, n. 7, p. 3903-3923-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/327187-
dc.description.abstractHeterogeneous terrain significantly complicates signals received by airborne or satellite sensors. It has been demonstrated that both solar direct beam and diffuse skylight illumination conditions are significant factors influencing the anisotropy of reflectance over mountainous areas. Several models and methods have been developed to account for topographic effects on surface reflectance at the pixel level in remote sensing. However, subtopographic effects are generally neglected for low-spatial-resolution pixels due to the complex law of radiative transfer and the limitations of higher spatial resolution digital elevation models, which can lead to deviations in reflectance estimation. Accurately estimating the subtopographic effects on anisotropic reflectance over composite sloping terrain under different illumination conditions presents a challenge for remote sensing models and applications. In this paper, the diffused equivalent slope model (dESM) was developed, which is an anisotropic reflectance simulation model coupled with diffuse skylight over composite sloping terrain. The corresponding subtopographic impact factor was also proposed to exhibit how microslope topography affects reflectance over composite sloping terrain under different illumination conditions. Simulated reflectance data sets simulated by the radiosity method and Moderate Resolution Imaging Spectroradiometer reflectance data were used to evaluate the performance of the dESM model. The results reveal that the dESM model can accurately capture the reflectance anisotropy over composite sloping terrain under different illumination conditions, and the subtopographic impact factor can account for the effects of microslope topography, shadow, and illumination conditions.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectAnisotropic reflectance-
dc.subjectcomposite sloping terrain-
dc.subjectdiffuse skylight-
dc.subjectsubtopography-
dc.subjecttopographic effects-
dc.titleModeling Anisotropic Reflectance over Composite Sloping Terrain-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2018.2816015-
dc.identifier.scopuseid_2-s2.0-85045219411-
dc.identifier.volume56-
dc.identifier.issue7-
dc.identifier.spage3903-
dc.identifier.epage3923-
dc.identifier.isiWOS:000436418200022-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats