Multi-scale datasets for monitoring Mediterranean oak forests from optical remote sensing during the SENTHYMED/MEDOAK experiment in the north of Montpellier (France).
Airborne hyperspectral imagery
Canopy plant area index
Leaf traits
Multispectral and hyperspectral satellite data
Oak forests
Optical properties
Species inventory
UAV-borne LiDAR data
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Apr 2024
Apr 2024
Historique:
received:
05
12
2023
revised:
30
01
2024
accepted:
05
02
2024
medline:
26
2
2024
pubmed:
26
2
2024
entrez:
26
2
2024
Statut:
epublish
Résumé
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 and spatial resolutions. Seven monthly data collections were performed between April and October 2021 (with a complementary one in June 2023) over two forests in the north of Montpellier, France, comprised of two oak endemic species with different phenological dynamics (evergreen:
Identifiants
pubmed: 38406250
doi: 10.1016/j.dib.2024.110185
pii: S2352-3409(24)00156-2
pmc: PMC10884421
doi:
Types de publication
Journal Article
Langues
eng
Pagination
110185Informations de copyright
© 2024 The Author(s).