de.pangaea.dataset993969 und dataset PANGAEA

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https://www.pangaea.de/ information pointOfContact 2026-05-19T05:15:37Z https://doi.pangaea.de/10.1594/PANGAEA.993969 2026-05-19T05:15:32 publication Khan, Taimur https://orcid.org/0000-0001-7833-5474 information author PANGAEA

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https://www.pangaea.de/ information publisher tableDigital We present HeideBench, a very-high-resolution multispectral uncrewed aerial vehicle dataset for forest crown phenology collected over a forest patch in Dölauer Heide, Halle (Saale), Germany. Dölauer Heide is currently dominated by pine plantations (Kiefernforste), which cover the largest area but are increasingly affected by dieback, while its potential natural vegetation is sessile oak–hornbeam forest rich in small-leaved lime (Albrecht et al., 1993). In addition to these pine stands, the area contains near-natural mixed deciduous forests with oaks, birches, and beeches, making it a particularly relevant setting for observing seasonal canopy development under contrasting forest structures and ongoing ecological transition. Against this background, HeideBench provides repeated observations of the same forest patch through the growing season. The dataset contains 18 georeferenced multispectral GeoTIFF orthomosaics acquired between 6 March 2025 and 5 November 2025, spanning a 244-day seasonal period from early spring to late autumn. The acquisitions have a median revisit interval of 14 days, with intervals ranging from 4 to 27 days, and an average ground sampling distance of 5.53 cm per pixel. The valid imaging footprint covers approximately 32.1 ha and is bounded by 11.902653–11.911325°E and 51.499959–51.508576°N. Data were collected using a DJI Mavic 3M Enterprise uncrewed aerial vehicle equipped with four multispectral cameras measuring green (560 nm), red (650 nm), red-edge (730 nm), and near-infrared (860 nm) reflectance, in that order. Flights used a real-time kinematic (RTK) positioning module for centimeter-level geolocation, and all data are provided in coordinate reference system EPSG:25832. Imagery was processed with Agisoft Metashape 2.3.1 to generate calibrated multispectral orthomosaics. The dataset further includes 5,885 crop-safe individual tree crown instance segmentations over the same footprint, extracted with the DeepTrees software package (Khan et al., 2025). HeideBench is intended to support crown-centric analyses of seasonal canopy development, temporal representation learning, phenology-aware feature extraction, and the evaluation of tree crown delineation under seasonal change. HeideBench is a result of the Dynamic Platform Project titled "PhenoEmbed: Multispectral UAV AI Embeddings for phenology-aware tree crown delineation" of the Integration Platform 1: "Sustainable future land use" (IP1) at the Helmholz Centre for Environmental Research (UFZ) in Leipzig, Germany. completed Khan, Taimur https://orcid.org/0000-0001-7833-5474 information principalInvestigator Forest Multispectral Image Data phenology Timeseries UAV theme 1995-01-01 creation PANGAEA

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https://www.pangaea.de/ information pointOfContact copyright copyright CC-BY-4.0: Creative Commons Attribution 4.0 International textTable und geoscientificInformation 11.902653 11.911325 51.499959 51.508576 2025-03-06T00:00:00 2025-11-05T00:00:00 Date thematicClassification Raster graphic, GeoTIFF format thematicClassification File content thematicClassification file content Coordinate reference system thematicClassification UTM Easting, Universal Transverse Mercator physicalMeasurement westbound m m UTM Northing, Universal Transverse Mercator physicalMeasurement southbound m m UTM Easting, Universal Transverse Mercator physicalMeasurement eastbound m m UTM Northing, Universal Transverse Mercator physicalMeasurement northbound m m Longitude, westbound thematicClassification westbound Latitude, southbound thematicClassification southbound Longitude, eastbound thematicClassification eastbound Latitude, northbound thematicClassification northbound Pixel size physicalMeasurement x-direction m m Pixel size physicalMeasurement y-direction m m Image pixel width physicalMeasurement # # Image pixel height physicalMeasurement # # Comment thematicClassification Band count Description thematicClassification Band description Feature counts physicalMeasurement # # Date/time start thematicClassification Flight start time (local) Date/time end thematicClassification Flight end time (local) Duration physicalMeasurement Flight duration min min Solar elevation angle physicalMeasurement Min value deg deg Solar elevation angle physicalMeasurement Max value deg deg Solar azimuth angle physicalMeasurement Min value deg deg Solar azimuth angle physicalMeasurement Max value deg deg Indicator thematicClassification Indicator if RTK was used text/tab-separated-values unknown https://doi.pangaea.de/10.1594/PANGAEA.993969?format=textfile download dataset The data set was checked for completeness, correctness, and consistency of metainformation. Validity of used methods was checked and - if applicable - precision and range of data. EVENT LABEL: HeideBench_2025 (HeideBench) * LATITUDE START: 51.508576 * LONGITUDE START: 11.902653 * LATITUDE END: 51.499959 * LONGITUDE END: 11.911325 * DATE/TIME START: 2025-03-06T00:00:00 * DATE/TIME END: 2025-11-05T00:00:00 * METHOD/DEVICE: Drone, DJI, Mavic3M 2025-03-06T00:00:00 Related to 1993-01-01 publication Albrecht, T author Buschendorf, J author Drechsler, K author Geissler, H author Gluch, W author Gnielka, R author Weidlich, M author documentHardcopy Related to 2025-01-01 publication https://doi.org/10.21105/joss.08056 Khan, Taimur https://orcid.org/0000-0001-7833-5474 information author Arnold, Caroline https://orcid.org/0000-0002-9458-1517 information author Grover, Harsh https://orcid.org/0009-0000-2055-7525 information author documentDigital Journal of Open Source Software 10(114) 8056 Additional metadata documentHardcopy