at https://eoweb.dlr.de/egp/ (image rasters, .tif for GeoTIFF format) • Sentinel-2 data can be downloaded from the THEIA portal at https://www.theia-land.fr/en/product/sentinel-2-surface-reflectance (image rasters, .tif for GeoTIFF format) Data accessibility Repository name: SEDOO Data identification number: • Forest inventory: https://doi.org/10.6096/8005 • Canopy plant area index: https://doi.org/10.6096/8007 • Forest optical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • U
Open resource ↗SEDOO · 10.6096/8005 · lines:31-86Unverified paper record
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 · 13 Feb 2024 · 10.1016/j.dib.2024.110185
Abstract
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: 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: (1) overstory and understory inventory, (2) 687 canopy plant area index from Li-COR plant canopy analyzers, (3) 1475 in situ spectral reflectances (oak canopy, trunk, grass, limestone, etc.) from ASD spectroradiometers, (4) 92 soil moistures and temperatures from IMKO and Campbell probes, (5) 747 leaf-clip optical data from SPAD and DUALEX sensors, (6) 2594 in-lab leaf directional-hemispherical reflectances and transmittances from ASD spectroradiometer coupled with an integrating sphere, (7) 747 in-lab measured leaf water and dry matter content, and additional leaf traits by inversion of the PROSPECT model and (8) 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, biodiversity assessment, fire risk prevention and globally vegetation monitoring.
Plant phenotyping relevance
森林の葉からキャノピーまでの植物形質データとマルチプラットフォーム光学・LiDARデータを体系的に整備し、衛星植生形質プロダクトの較正・検証に用いるデータセット研究であり、形質取得と再利用可能な検証基盤が中心です。
titleMulti-scale datasets for monitoring Mediterranean oak forests from optical remote sensing during the SENTHYMED/MEDOAK experiment in the north of Montpellier (France).
abstractThus, 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.
abstractThese datasets can be useful for multi-scale and multi-temporal calibration/validation of high level satellite vegetation products such as species traits
Code and data availability
This Data in Brief article deposits the paper's own SENTHYMED/MEDOAK plant-phenotyping measurements (forest inventory, canopy plant area index, forest/leaf optical properties, soil moisture, leaf-clip sensor data, leaf traits, UAV-borne LiDAR point clouds) in the public SEDOO repository with explicit DOIs and a direct,
oTIFF format) • Sentinel-2 data can be downloaded from the THEIA portal at https://www.theia-land.fr/en/product/sentinel-2-surface-reflectance (image rasters, .tif for GeoTIFF format) Data accessibility Repository name: SEDOO Data identification number: • Forest inventory: https://doi.org/10.6096/8005 • Canopy plant area index: https://doi.org/10.6096/8007 • Forest optical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.154
Open resource ↗SEDOO · 10.6096/8007 · lines:31-86THEIA portal at https://www.theia-land.fr/en/product/sentinel-2-surface-reflectance (image rasters, .tif for GeoTIFF format) Data accessibility Repository name: SEDOO Data identification number: • Forest inventory: https://doi.org/10.6096/8005 • Canopy plant area index: https://doi.org/10.6096/8007 • Forest optical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.15454/AGBW7G , https://doi.org/10.15454/DMYWPB Direct URL to a
Open resource ↗SEDOO · 10.6096/8006 · lines:31-86oduct/sentinel-2-surface-reflectance (image rasters, .tif for GeoTIFF format) Data accessibility Repository name: SEDOO Data identification number: • Forest inventory: https://doi.org/10.6096/8005 • Canopy plant area index: https://doi.org/10.6096/8007 • Forest optical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.15454/AGBW7G , https://doi.org/10.15454/DMYWPB Direct URL to all data: https://remotetree.sedoo.fr/catalogue/
Open resource ↗SEDOO · 10.6096/8001 · lines:31-86eoTIFF format) Data accessibility Repository name: SEDOO Data identification number: • Forest inventory: https://doi.org/10.6096/8005 • Canopy plant area index: https://doi.org/10.6096/8007 • Forest optical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.15454/AGBW7G , https://doi.org/10.15454/DMYWPB Direct URL to all data: https://remotetree.sedoo.fr/catalogue/ Instructions for accessing the datasets on the website: the da
Open resource ↗SEDOO · 10.6096/8002 · lines:31-86//doi.org/10.6096/8007 • Forest optical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.15454/AGBW7G , https://doi.org/10.15454/DMYWPB Direct URL to all data: https://remotetree.sedoo.fr/catalogue/ Instructions for accessing the datasets on the website: the datasets are visible under the search menu through projects and then by selecting FOREST/SENTHYMED 1 Value of the Data • These datasets were collected to provide calibratio
Open resource ↗SEDOO · 10.15454/AGBW7G · lines:31-86tical properties : https://doi.org/10.6096/8006 • Soil moisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.15454/AGBW7G , https://doi.org/10.15454/DMYWPB Direct URL to all data: https://remotetree.sedoo.fr/catalogue/ Instructions for accessing the datasets on the website: the datasets are visible under the search menu through projects and then by selecting FOREST/SENTHYMED 1 Value of the Data • These datasets were collected to provide calibration/validation data for methods aimi
Open resource ↗SEDOO · 10.15454/DMYWPB · lines:31-86oisture : https://doi.org/10.6096/8001 • Leaf-clip optical sensor data : https://doi.org/10.6096/8002 • Leaf optical properties: https://doi.org/10.6096/8004 • Leaf traits : https://doi.org/10.6096/8003 • UAV-borne LiDAR 3-D point clouds : https://doi.org/10.15454/AGBW7G , https://doi.org/10.15454/DMYWPB Direct URL to all data: https://remotetree.sedoo.fr/catalogue/ Instructions for accessing the datasets on the website: the datasets are visible under the search menu through projects and then by selecting FOREST/SENTHYMED 1 Value of the Data • These datasets were collected to provide calibration/validation data for methods aiming at linking ground observations on Mediterranean forests with
Open resource ↗SEDOO · lines:31-86This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.