Dataset papers

Dataset of tree inventory and canopy structure in poplar plantations in Northern Italy


Abstract


The dataset reports data collected in 38 square (50 x 50m) 0.25 ha plots representative of poplar plantations in Lombardy Region (Northern Italy), which were used to calibrate optical information derived from unmanned aerial vehicle (UAV) and satellite (Sentinel-2) sensors.

In each plot, the diameter at breast height was measured using a caliper; height, stem and crown volume of each tree were then derived from diameter using allometric equations developed in an independent study. Additional canopy attributes (foliage and crown cover, crown porosity, leaf area index) were derived in each plot from 12-20 optical images collected using digital cover photography (DCP).

The collected data allows characterizing the assessment of structure of these plantations, along with their variation over the rotation time. Canopy and crown data also enable the evaluation of optimal rotation and tree spacing, as well as the relationship between stand and canopy structure.

The raw datasets consist of 2,591 records (trees) associated with inventory measurements and 616 records (images) associated with optical canopy measurements. An R code was also provided to calculate plot-level attributes from raw data.

Dataset and associated metadata are freely available at http://dx.doi.org/10.17632/ycr7w5pvkt.1.


Keywords

leaf area index; hybrid I-214 poplar; precision forestry; crown volume; stem volume

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DOI: http://dx.doi.org/10.12899/asr-2177

References


Chianucci F. 2020a - Dataset of tree inventory and canopy structure in poplar plantations in Northern Italy. Mendely data, v.1 [Dataset], [Online] Available: http://dx.doi.org/10.17632/ycr7w5pvkt.1.

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Copyright (c) 2021 Francesco Chianucci, Luca Marchino, Claudio Bidini, Achille Giorcelli, Domenco Coaloa, Piermario Chiarabaglio, Francesca Giannetti, Gherardo Chirici, Clara Tattoni

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

All texts reported in and all materials directly downloadable from this page are licensed under a Creative Commons Attribution 4.0 International License.