Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations
Fernando Camacho, Beatriz Fuster, Wenjuan Li, Marie Weiss, Sangram Ganguly, Roselyne Lacaze, Frédéric Baret
Topics & Concepts
Remote sensingNormalized Difference Vegetation IndexPhotosynthetically active radiationCalibrationSupport vector machineKrigingComputer scienceLeaf area indexEnvironmental scienceArtificial intelligenceMachine learningAlgorithmMathematicsGeographyStatisticsAgronomyBiologyBotanyPhotosynthesisRemote Sensing in AgricultureRemote Sensing and LiDAR ApplicationsLand Use and Ecosystem Services