000 03194nam a22003737a 4500
999 _c150610
_d150610
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007 ta
008 220316t2023 ||||| |||| 00| 0 eng d
040 _aCR-SiIICA
_bspa
041 _aeng
100 _aMaurent, Eliott
_eautor
_9349416
245 _aMulti-sensor airborne lidar requires intercalibration for consistent estimation of light attenuation and plant area density
260 _bElsevier
_c2022
270 _aSan José, C.R.
300 _a1 recurso en línea (14 páginas)
_bpdf
362 _a1 de Marzo, 2023
520 _aLeaf 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.
650 0 _aAGRICULTURA
_94
650 0 _9148332
_aFORESTS
690 _9351276
_aAIRBORNE LASER SCANNING
690 _9351277
_aESCANEO LÁSER AEROTRANSPORTADO
690 _9351278
_aALS
690 _9351279
_aPLANT AREA DENSITY
690 _9351280
_aDENSIDAD DEL ÁREA DE LA PLANTA
690 _9157067
_aPAD
690 _9351281
_aLAD
700 _ay siete autores más
773 _aRemote Sensing of Environment
856 _qpdf
_yeng
_fBCO23019191
_uhttps://repositorio.catie.ac.cr/handle/11554/12229
942 _2z
_cART
942 _2z
_cDIG