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Melissa Latella
Melissa Latella
Euro-Mediterranean Center on Climate Change (CMCC Foundation)
Verified email at polito.it - Homepage
Title
Cited by
Cited by
Year
A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data
M Latella, F Sola, C Camporeale
Remote Sensing 13 (2), 322, 2021
402021
Bringing the margin to the focus: 10 challenges for riparian vegetation science and management
PM Rodríguez‐González, E Abraham, F Aguiar, A Andreoli, ...
Wiley Interdisciplinary Reviews: Water 9 (5), e1604, 2022
242022
An integrated methodology to study riparian vegetation dynamics: From field data to impact modeling
M Latella, MB Bertagni, P Vezza, C Camporeale
Journal of Advances in Modeling Earth Systems 12 (8), e2020MS002094, 2020
172020
Riparian ecosystems mapping at fine scale: a density approach based on multi‐temporal UAV photogrammetric point clouds
E Belcore, M Latella
Remote Sensing in Ecology and Conservation 8 (5), 644-655, 2022
82022
Satellite Image Processing for the Coarse-Scale Investigation of Sandy Coastal Areas
M Latella, A Luijendijk, AM Moreno-Rodenas, C Camporeale
Remote Sensing 13 (22), 4613, 2021
82021
On the integration of LiDAR and field data for riparian biomass estimation
M Latella, T Raimondo, E Belcore, L Salerno, C Camporeale
Journal of Environmental Management 322, 116046, 2022
52022
Short‐term biogeomorphology of a gravel‐bed river: Integrating remote sensing with hydraulic modelling and field analysis
M Latella, D Notti, M Baldo, D Giordan, C Camporeale
Earth Surface Processes and Landforms, 2024
12024
Assessment of 2D hydro-morphological processes to support river restoration at Isola Serafini in the Po River (Italy)
F Bossinia, E Mosselman, E Penning, C Camporeale, M Latella
NCR Days 2023: Towards 2048: The next 25 years of river studies, 2023
2023
State of the art and research trends in fluvial vegetation resistance modelling : with a focus on implementation in Rijkswaterstaat hydraulic models
K Berends, J Dijkstra, M Latella, A Spruyt
Deltares, 2022
2022
Integrated approaches for monitoring and modeling vegetation in riparian and coastal environments
M Latella
Politecnico di Torino, 2022
2022
Estimating Riparian Vegetation Geometry and Biomass from LiDAR Point Clouds
M Latella, T Raimondo, C Camporeale
Proceedings of the 39th IAHR World Congress 19, 24, 2022
2022
Investigating the short-term ecomorphological evolution of a gravel-bed river
M Latella, D Notti, M Baldo, D Giordan, C Camporeale
EGU General Assembly Conference Abstracts, EGU22-9159, 2022
2022
Porter l'attention sur la marge: 10 défis pour la science et la gestion de la végétation riveraine
PM Rodríguez‐González, E Abraham, F Aguiar, A Andreoli, ...
2022
Regional-scale analysis of dune-beach systems using Google Earth Engine
M Latella, A Luijendijk, C Camporeale
EGU General Assembly Conference Abstracts, EGU21-12923, 2021
2021
Density-Based Individual Tree Detection from Three-Dimensional Point Clouds
C Camporeale, M Latella, F Sola
EGU General Assembly Conference Abstracts, EGU21-15628, 2021
2021
A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data. Remote Sens. 2021, 13, 322
M Latella, F Sola, C Camporeale
s Note: MDPI stays neu-tral with regard to jurisdictional clai-ms in …, 2021
2021
An integrated methodology for the riparian vegetation modelling
M Latella, M BERTAGNI, P Vezza, C CAMPOREALE
Book of Abstracts, 201-202, 2021
2021
Role of stochastic forcing in coastal dune vegetation
M Latella, C CAMPOREALE
Book of Abstracts, 409-410, 2021
2021
Calibration of a stochastic model for riparian vegetation dynamics from LiDAR acquisitions
M Latella, MB Bertagni, P Vezza, CV Camporeale
Geophysical Research Abstracts 21, 14859-14859, 2019
2019
Supplementary Materials: A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data
M Latella, F Sola, C Camporeale
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