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dc.contributor.authorMaurent, Eliott
dc.contributor.authory siete autores más
dc.date.accessioned2023-01-18T20:43:51Z
dc.date.available2023-01-18T20:43:51Z
dc.date.issued2023-03
dc.identifier.urihttps://repositorio.catie.ac.cr/handle/11554/12229
dc.description.abstractLeaf area is a key structural characteristic of forest canopies because of the role of leaves in controlling many biological and physical processes occurring at the biosphere-atmosphere transition. High pulse density Airborne Laser Scanning (ALS) holds promise to provide spatially resolved and accurate estimates of plant area density (PAD) in forested landscapes, a key step in understanding forest functioning: phenology, carbon uptake, transpiration, radiative balance etc. Inconsistencies between different ALS sensors is a barrier to generating globally harmonised PAD estimates. The basic assumption on which PAD estimation is based is that light attenuation is proportional to vegetation area density. This study shows that the recorded extinction strongly depends on target detectability which is influenced by laser characteristics (power, sensitivity, wavelength). Three different airborne laser scanners were flown over a wet tropical forest at the Paracou research station in French Guiana. Different sensors, flight heights and transmitted power levels were compared. Light attenuation was retrieved with an open source ray-tracing code (http://amapvox.org). Direct comparison revealed marked differences (up-to 25% difference in profile-averaged light attenuation rate and 50% difference at particular heights) that could only be explained by differences in scanner characteristics. We show how bias which may occur under various acquisition conditions can generally be mitigated by a sensor intercalibration. Alignment of light weight lidar attenuation profiles to ALS reference attenuation profiles is not always satisfactory and we discuss what are the likely sources of discrepancies. Neglecting the dependency of apparent light attenuation on scanner properties may lead to biases in estimated vegetation density commensurate to those affecting light attenuation estimates. Applying intercalibration procedures supports estimation of plant area density independent of acquisition characteristics.es_ES
dc.format.extent14 páginases_ES
dc.language.isoenes_ES
dc.publisherElsevieres_ES
dc.relation.ispartofRemote Sensing of Environmentes_ES
dc.relation.urihttps://doi.org/10.1016/j.rse.2022.113442es_ES
dc.subjectBOSQUESes_ES
dc.subjectFORESTSes_ES
dc.subjectAIRBORNE LASER SCANNINGes_ES
dc.subjectESCANEO LÁSER AEROTRANSPORTADOes_ES
dc.subjectALSes_ES
dc.subjectPLANT AREA DENSITYes_ES
dc.subjectDENSIDAD DEL ÁREA DE LA PLANTAes_ES
dc.subjectPADes_ES
dc.subjectLADes_ES
dc.subject.otherOficina Nacional Guatemalaes_ES
dc.titleMulti-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area densityes_ES
dc.typeArtículoes_ES
dc.identifier.statusrestrictedAccesses_ES


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