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dc.contributor.authorToomey, Michael P.-
dc.contributor.authorRoberts, Dar A.-
dc.contributor.authorNelson, Bruce Walker-
dc.date.accessioned2020-06-15T21:54:47Z-
dc.date.available2020-06-15T21:54:47Z-
dc.date.issued2009-
dc.identifier.urihttps://repositorio.inpa.gov.br/handle/1/18420-
dc.description.abstractEpiphylls - lichens, fungi, liverworts, etc. infesting leaf surfaces - are found throughout humid forests of the world. It is well understood that epiphylls inhibit light interception by host plants, but their effect on remote sensing of colonized forests has not been examined. Incorporating leaf-level spectra from Terra Firme (primary forest) and Amazonian Caatinga (woodlands/forest growing on nutrient-deficient sandy soils), we used the GeoSAIL model to propagate leaf-level measurements to the canopy level and determine their effect on commonly used vegetation indices. In Caatinga, moderate infestations (50% leaf area epiphyll cover), lowered simulated Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) values by 6.1% and 20.4%, respectively, largely due to near infrared dampening. Heavy infestation (100% cover) simulations exhibited decreases 1.5-2 times greater than those of moderate infestations. For Terra Firme, which are generally less affected by epiphylls, moderate (20% leaf area) and heavy infestations (40%) lowered EVI by 4.4% (S.D. 0.8%) and 8.1% (S.D. 1.5%), respectively. Near infrared and green reflectance were most affected at the canopy level, showing mean decreases of 10.6% (S.D. 2.25%) and 9.5% (S.D. 3.49%), respectively, in heavy Terra Firme infestations. Time series of Moderate Resolution Imaging Spectrometer (MODIS) data corroborated the modeling results, suggesting a degree of coupling between epiphyll cover and the EVI and NDVI. These results suggest that, without explicit consideration of the presence of epiphylls, remote sensing-based methodologies may underestimate leaf area index, biomass and productivity in humid forests. © 2009 Elsevier Inc. All rights reserved.en
dc.language.isoenpt_BR
dc.relation.ispartofVolume 113, Número 8, Pags. 1787-1798pt_BR
dc.rightsRestrito*
dc.subjectAmazonen
dc.subjectCaatingaen
dc.subjectCanopy Reflectance Modelingen
dc.subjectEpifoliar Fungien
dc.subjectEpiphyllsen
dc.subjectEvien
dc.subjectModisen
dc.subjectTerra Firmeen
dc.subjectBiomassen
dc.subjectForestryen
dc.subjectFungien
dc.subjectGeologic Modelsen
dc.subjectInfrared Devicesen
dc.subjectReflectionen
dc.subjectRemote Sensingen
dc.subjectSpectrometersen
dc.subjectVegetationen
dc.subjectBiomassen
dc.subjectCaatingaen
dc.subjectCanopy Architectureen
dc.subjectCanopy Reflectanceen
dc.subjectEpiphyteen
dc.subjectFungusen
dc.subjectHumid Environmenten
dc.subjectLeaf Area Indexen
dc.subjectLichenen
dc.subjectLiverworten
dc.subjectModisen
dc.subjectNdvien
dc.subjectTime Seriesen
dc.subjectVegetation Coveren
dc.subjectForestsen
dc.subjectFungien
dc.subjectHumidificationen
dc.subjectInfrared Radiationen
dc.subjectLeavesen
dc.subjectPlantsen
dc.subjectReflectionen
dc.subjectRemote Sensingen
dc.subjectAmazoniaen
dc.subjectSouth Americaen
dc.subjectFungien
dc.subjectMarchantiophytaen
dc.titleThe influence of epiphylls on remote sensing of humid forestsen
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.rse.2009.04.002-
dc.publisher.journalRemote Sensing of Environmentpt_BR
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