Näytä suppeat kuvailutiedot

Floristic composition and across-track reflectance gradient in Landsat images over Amazonian forests

Moulatlet GM; Ruokolainen K; Tuomisto H; Higgins MA; Van Doninck J; Muro J

dc.contributor.authorMoulatlet GM
dc.contributor.authorRuokolainen K
dc.contributor.authorTuomisto H
dc.contributor.authorHiggins MA
dc.contributor.authorVan Doninck J
dc.contributor.authorMuro J
dc.date.accessioned2022-10-28T14:04:40Z
dc.date.available2022-10-28T14:04:40Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/169221
dc.description.abstractRemotely sensed image interpretation or classification of tropical forests can be severely hampered by the effects of the bidirectional reflection distribution function (BRDF). Even for narrow swath sensors like Landsat TM/ETM+, the influence of reflectance anisotropy can be sufficiently strong to introduce a cross track reflectance gradient. If the BRDF could be assumed to be linear for the limited swath of Landsat, it would be possible to remove this gradient during image preprocessing using a simple empirical method. However, the existence of natural gradients in reflectance caused by spatial variation in floristic composition of the forest can restrict the applicability of such simple corrections. Here we use floristic information over Peruvian and Brazilian Amazonia acquired through field surveys, complemented with information from geological maps, to investigate the interaction of real floristic gradients and the effect of reflectance anisotropy on the observed reflectances in Landsat data. In addition, we test the assumption of linearity of the BRDF for a limited swath width, and whether different primary non-inundated forest types are characterized by different magnitudes of the directional reflectance gradient. Our results show that a linear function is adequate to empirically correct for view angle effects, and that the magnitude of the across-track reflectance gradient is independent of floristic composition in the non-inundated forests we studied. This makes a routine correction of view angle effects possible. However, floristic variation complicates the issue, because different forest types have different mean reflectances. This must be taken into account when deriving the correction function in order to avoid eliminating natural gradients. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
dc.language.isoen
dc.publisherELSEVIER SCIENCE BV
dc.titleFloristic composition and across-track reflectance gradient in Landsat images over Amazonian forests
dc.identifier.urnURN:NBN:fi-fe2021042715699
dc.relation.volume119
dc.contributor.organizationfi=PÄÄT Biodiversiteettitutkimus|en=PÄÄT Biodiversiteettitutkimus|
dc.contributor.organizationfi=biologian laitoksen yhteiset|en=Department of Biology|
dc.contributor.organization-code2606401
dc.contributor.organization-code2606400
dc.converis.publication-id17327474
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/17327474
dc.format.pagerange372
dc.format.pagerange361
dc.identifier.eissn1872-8235
dc.identifier.jour-issn0924-2716
dc.okm.affiliatedauthorRuokolainen, Kalle
dc.okm.affiliatedauthorMoulatlet, Gabriel
dc.okm.affiliatedauthorTuomisto, Hanna
dc.okm.affiliatedauthorVan doninck, Jasper
dc.okm.discipline1171 Geotieteetfi_FI
dc.okm.discipline1181 Ecology, evolutionary biologyen_GB
dc.okm.discipline1171 Geosciencesen_GB
dc.okm.discipline1181 Ekologia, evoluutiobiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.doi10.1016/j.isprsjprs.2016.06.016
dc.relation.ispartofjournalISPRS Journal of Photogrammetry and Remote Sensing
dc.year.issued2016


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot