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 | 40 | 2021 |
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 | 24 | 2022 |
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 | 17 | 2020 |
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 | 8 | 2022 |
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 | 8 | 2021 |
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 | 5 | 2022 |
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 | 1 | 2024 |
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 | | |