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Data · dataset · 2026

PAI - Airborne LiDAR data of Mormal, Blois and Aigoual forests

Listed in data.InDoRES

Data from the ANR IMPRINT Project (2019-2023) : Plant Area Index (PAI), raster data (resolution = 10 m), of the Mormal forest, Blois forest and a subset of the Aigoual Forest.

Description

This indicator is obtained using LiDAR data. The PAI gives information on the distribution of vegetation along a vertical profile.

It is an estimation of the total plant area (leaves and woody structures) per unit ground surface area participating in light occlusion, and is based on the Beer-Lambert Law considering that light pulses will be attenuated through canopy cover (Vincent et al., 2015; Lenoir et al., 2022)

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
data.InDoRESdoi:10.48579/PRO/B4PSZT7 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].dataverse_subject:earth-and-environmental-sciencessource · data indores frconnector:data_indores_fr@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · data indores frconnector:data_indores_fr@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · data indores frconnector:data_indores_fr@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · data indores frconnector:data_indores_fr@1.0.0/subjects
concepts[modality].local:modality:remote-sensingmapping · data indores frvocabulary-mapper@1.0.0keywords['remote sensing']
created_datesource · data indores frconnector:data_indores_fr@1.0.0
descriptionsource · data indores frconnector:data_indores_fr@1.0.0/description
publication_datesource · data indores frconnector:data_indores_fr@1.0.0
titlesource · data indores frconnector:data_indores_fr@1.0.0/name
updated_datesource · data indores frconnector:data_indores_fr@1.0.0
version_labelsource · data indores frconnector:data_indores_fr@1.0.0