Sergio Marconi
Sergio Marconi
University of Florida
Verified email at - Homepage
Cited by
Cited by
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
BG Weinstein, S Marconi, S Bohlman, A Zare, E White
Remote Sensing 11 (11), 1309, 2019
Biophysical effects on temperature and precipitation due to land cover change
L Perugini, L Caporaso, S Marconi, A Cescatti, B Quesada, ...
Environmental Research Letters 12 (5), 053002, 2017
Cross-site learning in deep learning RGB tree crown detection
BG Weinstein, S Marconi, SA Bohlman, A Zare, EP White
Ecological Informatics 56, 101061, 2020
DeepForest: A Python package for RGB deep learning tree crown delineation
BG Weinstein, S Marconi, M Aubry‐Kientz, G Vincent, H Senyondo, ...
Methods in Ecology and Evolution 11 (12), 1743-1751, 2020
A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh, SJ Graves, ...
Elife 10, e62922, 2021
Validation of 3D-CMCC Forest Ecosystem Model (v. 5.1) against eddy covariance data for 10 European forest sites
A Collalti, S Marconi, A Ibrom, C Trotta, A Anav, E d'Andrea, G Matteucci, ...
Geoscientific Model Development 9 (2), 479-504, 2016
A data science challenge for converting airborne remote sensing data into ecological information
S Marconi, SJ Graves, D Gong, MS Nia, M Le Bras, BJ Dorr, P Fontana, ...
PeerJ 6, e5843, 2019
Does degradation from selective logging and illegal activities differently impact forest resources? A case study in Ghana
G Vaglio Laurin, WD Hawthorne, T Chiti, A Di Paola, R Cazzolla Gatti, ...
IForest 9 (JUNE2016), 354-362, 2016
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
S Marconi, T Chiti, A Nolè, R Valentini, A Collalti
Forests 8 (6), 220, 2017
A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
BG Weinstein, SJ Graves, S Marconi, A Singh, A Zare, D Stewart, ...
PLoS computational biology 17 (7), e1009180, 2021
Estimating individual‐level plant traits at scale
S Marconi, SJ Graves, BG Weinstein, S Bohlman, EP White
Ecological Applications 31 (4), e02300, 2021
Continental-scale hyperspectral tree species classification in the United States National Ecological Observatory Network
S Marconi, BG Weinstein, S Zou, SA Bohlman, A Zare, A Singh, D Stewart, ...
Remote Sensing of Environment 282, 113264, 2022
Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community
RC Nagy, JK Balch, EK Bissell, ME Cattau, NF Glenn, BS Halpern, ...
Ecosphere 12 (12), e03833, 2021
Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches
J Kitzes, R Blake, S Bombaci, M Chapman, SM Duran, T Huang, ...
Ecosphere 12 (11), e03795, 2021
Rethinking global carbon storage potential of trees. A comment on Bastin et al.(2019)
SD Taylor, S Marconi
Annals of forest science 77, 1-7, 2020
Data science competition for cross-site delineation and classification of individual trees from airborne remote sensing data
SJ Graves, S Marconi, D Stewart, I Harmon, BG Weinstein, Y Kanazawa, ...
bioRxiv, 2021.08. 06.453503, 2021
Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model
BG Weinstein, S Marconi, SJ Graves, A Zare, A Singh, SA Bohlman, ...
Remote Sensing in Ecology and Conservation 9 (5), 656-670, 2023
Injecting domain knowledge into deep neural networks for tree crown delineation
I Harmon, S Marconi, B Weinstein, S Graves, DZ Wang, A Zare, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022
A benchmark dataset for individual tree crown delineation in co-registered airborne rgb, lidar and hyperspectral imagery from the national ecological observation network
BG Weinstein, SJ Graves, S Marconi, A Singh, A Zare, D Stewart, ...
bioRxiv, 2020.11. 16.385088, 2020
Data Carpentry for Biologists: A semester long Data Carpentry course using ecological and other biological examples
EP White, ZT Brym, AJ Marx, K Riemer, S Marconi, DJ Harris, V Cruz, ...
Journal of Open Source Education 5 (50), 139, 2022
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