Retrieving leaf and canopy characteristics from their radiative properties using physically based models : from laboratory to satellite observations

Autor: Jiang, Jingyi

Publikováno v: Earth Sciences. Université d'Avignon, 2019. English. ⟨NNT : 2019AVIG0708⟩

Measuring leaf and canopy characteristics from remote sensing acquisitions is an effective and non destructive way to monitor crops both for decision making within the smart agriculture practices or for phenotyping under field conditions to improve t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::91f008b6e61d4cec09b63ef52259a130
https://tel.archives-ouvertes.fr/tel-02499223

Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57

Autor: Nicolas Lauret, Jan G. P. W. Clevers, Jean-Philippe Gastellu-Etchegorry, Frédéric Baret, Martin Herold, Benjamin Brede, Jan Verbesselt

Publikováno v: Remote Sensing 7 (10), . (2018)
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (7), ⟨10.3390/rs10071032⟩
BASE-Bielefeld Academic Search Engine
Remote Sensing 10 (2018) 7
Remote Sensing; Volume 10; Issue 7; Pages: 1032
Remote Sensing, Vol 10, Iss 7, p 1032 (2018)
Remote Sensing, 10(7)

International audience; Land Surface Phenology (LSP) and Leaf Area Index (LAI) are important variables that describe the photosynthetically active phase and capacity of vegetation. Both are derived on the global scale from optical satellite sensors a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32aed088e7f0292eebb358d99a0959ce
http://prodinra.inra.fr/record/440611