Adeline K., Féret J. B., Clenet H., Limousin J. M., Ourcival J. M., Mouillot Florent, Alleaume S., Jolivot A., Briottet X., Bidel L., Aria E., Defossez A. T. M., Gaubert T., Giffard-Carlet J., Kempf J., Longepierre D., Lopez F., Miraglio T., Vigouroux J., Debue M. (2024). Multi-scale datasets for monitoring Mediterranean oak forests from optical remote sensing during the SENTHYMED/MEDOAK experiment in the north of Montpellier (France). Data in Brief, 53, p. 110185 [29 p.]. ISSN 2352-3409.
Titre du document
Multi-scale datasets for monitoring Mediterranean oak forests from optical remote sensing during the SENTHYMED/MEDOAK experiment in the north of Montpellier (France)
Année de publication
2024
Auteurs
Adeline K., Féret J. B., Clenet H., Limousin J. M., Ourcival J. M., Mouillot Florent, Alleaume S., Jolivot A., Briottet X., Bidel L., Aria E., Defossez A. T. M., Gaubert T., Giffard-Carlet J., Kempf J., Longepierre D., Lopez F., Miraglio T., Vigouroux J., Debue M.
Source
Data in Brief, 2024,
53, p. 110185 [29 p.] ISSN 2352-3409
Mediterranean forests represent critical areas that are increasingly affected by the frequency of droughts and fires, anthropic activities and land use changes. Optical remote sensing data give access to several essential biodiversity variables, such as species traits (related to vegetation biophysical and biochemical composition), which can help to better understand the structure and functioning of these forests. However, their reliability highly depends on the scale of observation and the spectral configuration of the sensor. Thus, the objective of the SENTHYMED/MEDOAK experiment is to provide datasets from leaf to canopy scale in synchronization with remote sensing acquisitions obtained from multi platform sensors having different spectral characteristics , spatial resolutions. Seven monthly data collections were performed between April and October 2021 (with a comple- mentary one in June 2023) over two forests in the north of Montpellier, France, comprised of two oak endemic species with different phenological dynamics (evergreen: Quercus ilex and deciduous: Quercus pubescens) and a variability of canopy cover fractions (from dense to open canopy). These collections were coincident with satellite multispectral Sentinel -2 data and one with airborne hyperspectral AVIRIS- Next Generation data. In addition, satellite hyperspectral PRISMA and DESIS were also available for some dates. All these airborne and satellite data are provided from free online download websites. Eight datasets are presented in this paper from thirteen studied forest plots: specialIntscript overstory and understory inventory, specialIntscript 687 canopy plant area in- dex from Li-COR plant canopy analyzers, specialIntscript 1475 in situ spectral reflectances (oak canopy, trunk, grass, limestone, etc.) from ASD spectroradiometers, specialIntscript 92 soil moistures and temperatures from IMKO and Campbell probes, specialIntscript 747 leaf -clip optical data from SPAD and DUALEX sensors, specialIntscript 2594 in -lab leaf directional -hemispherical reflectances and transmittances from ASD spectroradiometer coupled with an integrating sphere, specialIntscript 747 in -lab measured leaf water and dry matter content , additional leaf traits by inversion of the PROSPECT model and specialIntscript UAV-borne LiDAR 3-D point clouds. These datasets can be useful for multi -scale and multi -temporal calibration/validation of high level satellite vegetation products such as species traits, for current and future imaging spectroscopic missions, and by fusing or comparing both multispectral and hyperspectral data. Other targeted applications can be forest 3-D modelling, biodiver- sity assessment, fire risk prevention and globally vegetation monitoring.
Plan de classement
Sciences du monde végétal [076]
;
Etudes, transformation, conservation du milieu naturel [082]
;
Télédétection [126]
Description Géographique
FRANCE ; ZONE MEDITERRANEENNE
Localisation
Fonds IRD [F B010090532]
Identifiant IRD
fdi:010090532
