Search results for "LUT-based inversion"

showing 3 items of 3 documents

Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.

2021

Hyperspectral cameras onboard unmanned aerial vehicles (UAVs) have recently emerged for monitoring crop traits at the sub-field scale. Different physical, statistical, and hybrid methods for crop trait retrieval have been developed. However, spectra collected from UAVs can be confounded by various issues, including illumination variation throughout the crop growing season, the effect of which on the retrieval performance is not well understood at present. In this study, four retrieval methods are compared, in terms of retrieving the leaf area index (LAI), fractional vegetation cover (fCover), and canopy chlorophyll content (CCC) of potato plants over an agricultural field for six dates duri…

Canopystatistical method010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesGrowing season02 engineering and technologyLUT-based inversion; hybrid method; statistical method; leaf area index; fractional vegetation cover; canopy chlorophyll content01 natural sciencesLUT-based inversionhybrid methodLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingfractional vegetation coverleaf area indexQHyperspectral imagingcanopy chlorophyll contentStatistical modelRandom forestVNIRGeneral Earth and Planetary SciencesScale (map)Remote sensing
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Optimized and automated estimation of vegetation properties: Opportunities for Sentinel-2

2014

La Biosfera es uno de los principales sistemas que conforman la Tierra. Su estudio permite comprender la relación entre la vegetación y el ciclo del carbono y cómo éste puede ser afectado por los cambios en los niveles de CO2 y los usos de suelo. Para el estudio de estas dinámicas a escala global y local, han sido desarrollados diversos modelos que son representaciones de la realidad en una escala y complejidad más simple. Parte de las variables de entrada de estos modelos son obtenidas mediante medidas de teledetección gracias al Global Climate Observing System (GCOS), que ha determinado un conjunto de 50 variables climáticas esenciales que contribuyen a los estudios de cambio climático qu…

:CIENCIAS TECNOLÓGICAS [UNESCO]:CIENCIAS TECNOLÓGICAS::Tecnología del espacio [UNESCO]leaf area indexUNESCO::CIENCIAS TECNOLÓGICAS::Tecnología del espacio:CIENCIAS DE LA TIERRA Y DEL ESPACIO::Otras especialidades de la tierra espacio o entorno [UNESCO]biophysical parameter retrievalradiative transfer models:CIENCIAS DE LA TIERRA Y DEL ESPACIO [UNESCO]leaf chlorophyll contentUNESCO::CIENCIAS TECNOLÓGICASLUT-based inversionempirical regression modelsmachine learningUNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO::Otras especialidades de la tierra espacio o entornoSentinel-2UNESCO::CIENCIAS DE LA TIERRA Y DEL ESPACIO
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Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model

2013

Abstract: Lookup-table (LUT)-based radiative transfer model inversion is considered a physically-sound and robust method to retrieve biophysical parameters from Earth observation data but regularization strategies are needed to mitigate the drawback of ill-posedness. We systematically evaluated various regularization options to improve leaf chlorophyll content (LCC) and leaf area index (LAI) retrievals over agricultural lands, including the role of (1) cost functions (CFs); (2) added noise; and (3) multiple solutions in LUT-based inversion. Three families of CFs were compared: information measures, M-estimates and minimum contrast methods. We have only selected CFs without additional parame…

PROSAILradiative transfer modelsScienceQEstimatorInversion (meteorology)biophysical parametersLUT-based inversionDatabase normalizationAtmospheric radiative transfer codescost functionsApproximation errorLookup tableGeneral Earth and Planetary Sciencesbiophysical parameters; LUT-based inversion; cost functions; radiative transfer models; PROSAIL; Sentinel-2Sentinel-2Leaf area indexQAImage resolutionRemote sensingMathematicsRemote Sensing; Volume 5; Issue 7; Pages: 3280-3304
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