DOI: 10.5281/zenodo.4890398
title: L3A - Airborne LiDAR transects summary collected by EBA in the Brazilian Amazon

description: The shapefile provides the exact location and the attributes of the LiDAR transects including sampling method, sampling criteria, if the field data is available, who is the field data owner, the average metrics, and other relevant information. <strong>The metrics were extracted from the original point cloud, without any outlier cleaning. </strong>The EBA project collects the LiDAR transects between 2016 and 2018. Each transect covered 375 ha (12.5 km × 300 m) by emitting full-waveform laser pulses from a Trimble Harrier 68i airborne sensor (Trimble; Sunnyvale, CA) aboard a Cessna aircraft (model 206). The average point density was set at four returns per square meters, the field of view was equal to 30°, the flying altitude was 600 m, and transect width on the ground was approximately 494 m. Global Navigation Satellite System (GNSS) data were collected on a dual-frequency receiver (L1/L2). The pulse footprint was set to be below 30 cm, based on a divergence angle between 0.1 and 0.3 milliradians. Horizontal and vertical accuracy were controlled to be under 1 m and under 0.5 m, respectively. Some transects were randomly spread over the mature forest layer retrieved from the PRODES database (INPE 2019) and the secondary forest layer retrieved from the TerraClass database (INPE 2018), and other were selected to overlad field data from partners institutions. Metadata present in the shapefile: Transect = Transect id (unique identification). Field_data = researcher or project who own the field data. Hyperspect = presence of hyperspectral data. Obs = Contact person that requested the transect. Campaign = 1 between 2016 and 2017. 2 between 2017 and 2018. Criteria = Study criteria to orient allocation. Datafile = name of datafile. Elev_maxim = maximum height meters. Elev_mean = mean height in meters. Elev_mode = Height mode in meters. Elev_stdde = Height standard deviation in meters. Elev_varia = Height variance. Elev_cv = Coefficient of variation for height. Elev_iq = 75th percentile minus 25th percentile for height in meters. Elev_skewn = Skewness for height. Elev_kurto = Kurtosis for height. Elev_aad = Height average absolute deviation in meters. Elev_mad_m = Mean absolute deviation for height in meters. Elev_mad_1 = not clear yet. Elev_l1 = L-moment 1 distance for height Elev_l2 = L-moment 2 distance for height Elev_l3 = L-moment 3 distance for height Elev_l4 = L-moment 4 distance for height Elev_l_cv = Coefficient of variation for L-moment . Elev_l_ske = Skewness for L-moment. Elev_l_kur = Kurtorsis for L-moment. Elev_p05 = Percentile 5 for height in meters. Elev_p20 = Percentile 20 for height in meters. Elev_p25 = Percentile 25 for height in meters. Elev_p30 = Percentile 30 for height in meters. Elev_p40 = Percentile 40 for height in meters. Elev_p50 = Percentile 50 for height in meters. Elev_p60 = Percentile 60 for height in meters. Elev_p70 = Percentile 70 for height in meters. Elev_p75 = Percentile 75 for height in meters. Elev_p80 = Percentile 80 for height in meters. Elev_p90 = Percentile 90 for height in meters. Elev_p95 = Percentile 95 for height in meters. Elev_p99 = Percentile 99 for height in meters. Canopy_rel = not clear yet. Elev_sqrt = Quadratic mean for hieght Elev_curt = Cubic mean for height Profile_ar = not clear yet. Random = Yes, if transect was random selected inside the criteria. Epsg = Coordinate system.
description: Funding was provided by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Brasil (CAPES; Finance Code 001); Conselho Nacional de Desenvolvimento Científico e Tecnológico (Processes 403297/2016-8 and 301661/2019-7); Amazon Fund (grant 14.2.0929.1)
description: {"references": ["doi:10.1002/fee.2085", "doi:10.1111/gcb.15423"]}