From Space to Field: Remote Sensing for Agriculture and Forests
 /  Asita2022 / From Space to Field: Remote Sensing for Agriculture and Forests

From Space to Field: Remote Sensing for Agriculture and Forests

23 giugno Galata Museo del Mare

14.00 – 16.00  Saletta dell’Arte

SESSIONE PARALLELA

From Space to Field: Remote Sensing for Agriculture and Forests

Moderatore: Enrico Borgogno-Mondino, Università degli Studi di Torino

Hyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a contribution for updating forest management plans
Daniele Michelini (a), Michele Dalponte (b), Angelo Carriero (c), Erico Kutchartt (a), Salvatore Eugenio Pappalardo (a), Massimo De Marchi (a), Francesco Pirotti (a)
(a) University of Padova
(b) Fondazione Edmund Mach
(c) Provincia Autonoma di Trento

Comparison of winter wheat vegetation indices derived by Sentinel-2 and active optical sensor Rapidscan©
Raffaele Meloni, Alessandro Farbo, Massimo Blandino, Filippo Sarvia, Amedeo Reyneri, Enrico Borgogno-Mondino
Università degli Studi di Torino

Forest height estimation using Sentinel-1 Interferometry. A phase unwrapping-free method based on least squares adjustment
De Petris Samuele (a), Cuozzo Giovanni (b), Notarnicola Claudia (b), Enrico Borgogno-Mondino
(a) University of Torino
(b) EURAC Research, Bolzano

Low Density ALS Data to Support Forest Management Plans: the Alta Val Di Susa Forestry Consortium (NW Italy) Case Study.
Elisa Ilardi (a), Vanina Fissore (a), Roberta Berretti (b), A. Dotta (c), Piero Boccardo (d), Enrico Borgogno-Mondino (b)
(a) ITHACA – Information Technology for Humanitarian Assistance Cooperation and Action
(b) University of Torino
(c) Val Di Susa Forestry Consortium
(d) Politecnico of Turin