Publications

(2020). Rethinking the fundamental unit of ecological remote sensing: Estimating individual level plant traits at scale. bioRxiv.

(2020). NEON Crowns: a remote sensing derived dataset of 100 million individual tree crowns. bioRxiv.

(2020). DeepForest: A Python package for RGB deep learning tree crown delineation. Methods in Ecology and Evolution.

Codice Progetti

(2020). Cross-site learning in deep learning RGB tree crown detection. Ecological Informatics.

(2019). Rethinking global carbon storage potential of trees. A comment on Bastin et al.(2019). Annals of Forest Science.

(2019). A data science challenge for converting airborne remote sensing data into ecological information. PeerJ.

(2019). Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks. Remote Sensing.

(2017). The role of respiration in estimation of net carbon cycle: coupling soil carbon dynamics and canopy turnover in a novel version of 3D-CMCC forest ecosystem model. Forests.

(2017). Biophysical effects on temperature and precipitation due to land cover change. Environmental Letters.

(2016). Does degradation from selective logging and illegal activities differently impact forest resources? A case study in Ghana. iForest-Biogeosciences and Forestry.

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