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Data · dataset · 2026

UAV / Airborne LiDAR and Forest Inventory Survey Dataset for Remote Sensing Applications (Pinus Pinaster Forest / Northern Portugal) Dataset

Listed in DadosIPB

Description

This dataset presents files derived from LiDAR scans conducted in forest environments above canopy level, as well as complementary field data obtained in the same locations. The entire dataset is distributed under the CC BY 4.0 license, with 29 files and total size of approximately 500MB. The LiDAR data was obtained in two ways: the first was using a crewed aircraft (resolution of 50x50cm per pixel) on october of 2024, having been previously published by the Direção-Geral do Território (cdd.dgterritorio.gov.pt/dgt-fe/catalogos), and the second was using a Zenmuse L1 LiDAR sensor mounted on a Matrice 300 RTK UAV (resolution of 3x3cm per pixel) on march of 2025.

All data are related to a Pinus pinaster Ait. forest of 6.6 hectare located in northern Portugal, in the Montesinho Natural Park, more specifically in the locality of Vilarinho de Cova de Lua (41°53'52.0'' to 41°54'1.4''N and 6°51'9.0'' to 6°50'52.3''W, according to EPSG:3763). The main products of this dataset are 840x840 pixel grayscale images in PNG format (12 in total) and the corresponding digital elevation models (DEMs) extracted in TIFF format (two in total).

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Six GPKG files containing structural/spatial data (diameter at breast height in centimeters [cm], total height in meters [m], and individual coordinates) for each tree in six different 250m² circular sample areas analyzed by forest inventory surveys conducted on march of 2025 are also available, and a extra GPKG file with the geographical location and spatial distribution of the forest surveys. Additionally, this dataset features six manually tagged images, considering the canopy cover of each tree contained in the regions of interest analyzed in the field.

For context, there is one “study_site” image in PNG format showing the total forest area, as well as each location analyzed individually, and one "README" file in TXT format that can be accessed for additional information on each procedure performed, software versions used, and other additional details. This dataset is presented for direct use in optimization-based learning models and for manipulating TIFF data with a strong comparative basis, as it presents two spatial resolutions from a single location.

It can also be used to adjust prediction models, using the values obtained from forest inventories as validation parameters. Thus, tasks such as forest structure prediction, canopy segmentation, and aboveground carbon stock monitoring can be appropriately performed using this content. This dataset was produced using resources from projects iCarbono (icarbono.ipb.pt) and LIFE SILFORE, thereby facilitating their scientific contributions.

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Topics

Inferred from text
Forestry sciences 69% · Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
DadosIPBdoi:10.34620/DADOSIPB/BOPV425 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3007enrichment · dados ipb pttaxonomy-embedding@1.1.0title+keywords+description (69%)
concepts[field].dataverse_subject:agricultural-sciencessource · dados ipb ptconnector:dados_ipb_pt@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · dados ipb ptconnector:dados_ipb_pt@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · dados ipb ptconnector:dados_ipb_pt@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · dados ipb ptconnector:dados_ipb_pt@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · dados ipb ptconnector:dados_ipb_pt@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · dados ipb ptkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:remote-sensingenrichment · dados ipb ptkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · dados ipb ptconnector:dados_ipb_pt@1.0.0
descriptionsource · dados ipb ptconnector:dados_ipb_pt@1.0.0/description
publication_datesource · dados ipb ptconnector:dados_ipb_pt@1.0.0
titlesource · dados ipb ptconnector:dados_ipb_pt@1.0.0/name
updated_datesource · dados ipb ptconnector:dados_ipb_pt@1.0.0
version_labelsource · dados ipb ptconnector:dados_ipb_pt@1.0.0