File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: GOFP: A Geometric-Optical Model for Forest Plantations

TitleGOFP: A Geometric-Optical Model for Forest Plantations
Authors
KeywordsCanopy reflectance
exclusion distance
forest plantations
geometric-optical (GO) modeling
hypergeometric model
remote sensing
Issue Date2017
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55, n. 9, p. 5230-5241 How to Cite?
AbstractGeometric-optical (GO) model suitable for forest plantation (GOFP) is a GO model for forest plantations at the stand level developed in this study based on a four-scale GO model a Geometric-Optical Model for Sloping Terrains-II (GOST2), which simulates the bidirectional reflectance distribution function (BRDF) for natural forest canopies. In most previous GO models, tree distributions are often assumed to meet the Poisson or Neyman model in a forest; therefore, these models are suitable for simulating BRDF for natural forest canopies. However, in forest plantations, tree distributions are proven to meet the hypergeometric model rather than the Poisson or Neyman model at the stand level. GOFP, in which the tree distributions are described using the hypergeometric model, is proposed to simulate the bidirectional reflectance factor (BRF) of forest plantations at the stand level. The area ratios of the four scene components (sunlit foliage, sunlit ground, shaded foliage, and shaded ground) of GOFP compare well with those simulated by a 3-D canopy visualization technique. A comparison is also made against discrete anisotropic radiative transfer, showing that GOFP has the ability to simulate BRF of forest plantations. Another comparison is made against operational land imager and Moderate Resolution Imaging Spectroradiometer surface reflectance, showing that GOFP with the hypergeometric model outperforms GOST2 with the Poisson and Neyman models. The results further show that the differences in BRFs between GOFP and GOST2 pronouncedly increase with the difference between the reflectance of sunlit foliage (RT) and the reflectance of sunlit ground (RG), as well as the distances among trees and the number of crowns in a forest plantation, suggesting that GOFP significantly outperforms GOST2 for simulating BRF of forest plantations.
Persistent Identifierhttp://hdl.handle.net/10722/327144
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGeng, Jun-
dc.contributor.authorChen, Jing M.-
dc.contributor.authorFan, Weiliang-
dc.contributor.authorTu, Lili-
dc.contributor.authorTian, Qingjiu-
dc.contributor.authorYang, Ranran-
dc.contributor.authorYang, Yanjun-
dc.contributor.authorWang, Lei-
dc.contributor.authorLv, Chunguang-
dc.contributor.authorWu, Shengbiao-
dc.date.accessioned2023-03-31T05:29:12Z-
dc.date.available2023-03-31T05:29:12Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55, n. 9, p. 5230-5241-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/327144-
dc.description.abstractGeometric-optical (GO) model suitable for forest plantation (GOFP) is a GO model for forest plantations at the stand level developed in this study based on a four-scale GO model a Geometric-Optical Model for Sloping Terrains-II (GOST2), which simulates the bidirectional reflectance distribution function (BRDF) for natural forest canopies. In most previous GO models, tree distributions are often assumed to meet the Poisson or Neyman model in a forest; therefore, these models are suitable for simulating BRDF for natural forest canopies. However, in forest plantations, tree distributions are proven to meet the hypergeometric model rather than the Poisson or Neyman model at the stand level. GOFP, in which the tree distributions are described using the hypergeometric model, is proposed to simulate the bidirectional reflectance factor (BRF) of forest plantations at the stand level. The area ratios of the four scene components (sunlit foliage, sunlit ground, shaded foliage, and shaded ground) of GOFP compare well with those simulated by a 3-D canopy visualization technique. A comparison is also made against discrete anisotropic radiative transfer, showing that GOFP has the ability to simulate BRF of forest plantations. Another comparison is made against operational land imager and Moderate Resolution Imaging Spectroradiometer surface reflectance, showing that GOFP with the hypergeometric model outperforms GOST2 with the Poisson and Neyman models. The results further show that the differences in BRFs between GOFP and GOST2 pronouncedly increase with the difference between the reflectance of sunlit foliage (RT) and the reflectance of sunlit ground (RG), as well as the distances among trees and the number of crowns in a forest plantation, suggesting that GOFP significantly outperforms GOST2 for simulating BRF of forest plantations.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectCanopy reflectance-
dc.subjectexclusion distance-
dc.subjectforest plantations-
dc.subjectgeometric-optical (GO) modeling-
dc.subjecthypergeometric model-
dc.subjectremote sensing-
dc.titleGOFP: A Geometric-Optical Model for Forest Plantations-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2017.2704079-
dc.identifier.scopuseid_2-s2.0-85020415540-
dc.identifier.volume55-
dc.identifier.issue9-
dc.identifier.spage5230-
dc.identifier.epage5241-
dc.identifier.isiWOS:000408346600031-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats