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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XI-5-2026
https://doi.org/10.5194/isprs-annals-XI-5-2026-9-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-XI-5-2026-9-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
10 Jul 2026
| 10 Jul 2026
Earth Sensing in the Dolomites: A Summer School for Capacity Building and Collaboration on Geomatics for Environmental Applications
Larissa Maria Granja
Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Viale dell’Università 16, Legnaro, PD 35020, Italy
Interdepartmental Research Center of Geomatics (CIRGEO), University of Padova, Corte Benedettina, Via Roma 34, Legnaro, PD 35020, Italy
Erico Kutchartt
Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Viale dell’Università 16, Legnaro, PD 35020, Italy
Forest Science and Technology Centre of Catalonia (CTFC), Carretera de Sant Llorenç de Morunys, Km 2, 25280 Solsona, Spain
Enrico Magazzino
Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Viale dell’Università 16, Legnaro, PD 35020, Italy
Interdepartmental Research Center of Geomatics (CIRGEO), University of Padova, Corte Benedettina, Via Roma 34, Legnaro, PD 35020, Italy
Thomas Zieher
Department of Natural Hazards, Austrian Research Centre for Forests (BFW), Rennweg 1, 6020 Innsbruck, Austria
Rasoul Eskandari
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, via Ponzio 31, 20133 Milano, Italy
Michele Crosetto
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Division, Av. Gauss, 7, E-08860 Castelldefels (Barcelona), Spain
Caterina Balletti
Università Iuav di Venezia, Santa Croce, 191, Venezia, VE 30135, Italy
Andrea Martino
Università Iuav di Venezia, Santa Croce, 191, Venezia, VE 30135, Italy
Mattia Balestra
Department of Agricultural, Food and Environmental Sciences (D3A), Università Politecnica delle Marche, Ancona, 60131, Italy
Department of Civil, Building and Architectural Engineering (DICEA), Università Politecnica delle Marche, Ancona, 60131, Italy
Roberto Pierdicca
Department of Civil, Building and Architectural Engineering (DICEA), Università Politecnica delle Marche, Ancona, 60131, Italy
Lindo Nepi
Department of Information Engineering (DII), Università Politecnica delle Marche, Ancona, Italy
Carlos Cabo
Department of Mining Exploitation and Prospecting, University of Oviedo, Campus de Mieres, 33600 Mieres, Oviedo, Spain
Anna Iglseder
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8-10, 1040 Vienna, Austria
Mauricio Acuna
Forest Technology and Wood Material Solutions, Natural Resources Institute Finland (Luke), 80100 Joensuu, Finland
Borja García Pascual
Forest Technology and Wood Material Solutions, Natural Resources Institute Finland (Luke), 80100 Joensuu, Finland
School of Forest Sciences, University of Eastern Finland, 80101 Joensuu, Finland
Francesco Pirotti
Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Viale dell’Università 16, Legnaro, PD 35020, Italy
Interdepartmental Research Center of Geomatics (CIRGEO), University of Padova, Corte Benedettina, Via Roma 34, Legnaro, PD 35020, Italy
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Short summary
Short summary
For the processing of geomatics data, artificial intelligence (AI) offers overwhelming opportunities. The integration of AI approaches in geomatics has developed into the concept of geospatial artificial intelligence (GeoAI), which is a new paradigm for geographic knowledge discovery and beyond. This contribution outlines AI-based techniques for analysing and interpreting complex geomatics data. How AI approaches have been exploited for the interpretation of geomatic data is explained.
F. Tonion and F. Pirotti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1011–1017, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1011-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1011-2022, 2022
F. Pirotti, M. Piragnolo, A. Vettore, and A. Guarnieri
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2022, 353–359, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-353-2022, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-353-2022, 2022
M. Crosetto, L. Solari, A. Barra, O. Monserrat, M. Cuevas-González, R. Palamà, Y. Wassie, S. Shahbazi, S. M. Mirmazloumi, B. Crippa, and M. Mróz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 257–262, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-257-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-257-2022, 2022
Q. Gao, M. Crosetto, O. Monserrat, R. Palama, and A. Barra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 271–276, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-271-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-271-2022, 2022
N. Kotulak, M. Mleczko, M. Crosetto, R. Palamà, and M. Mróz
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 285–292, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-285-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-285-2022, 2022
S. M. Mirmazloumi, Á. F. Gambin, Y. Wassie, A. Barra, R. Palamà, M. Crosetto, O. Monserrat, and B. Crippa
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 307–312, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-307-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-307-2022, 2022
J. A. Navarro, D. García, M. Crosetto, and O. Monserrat
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 313–320, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-313-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-313-2022, 2022
R. Palamà, M. Crosetto, O. Monserrat, A. Barra, B. Crippa, M. Mróz, N. Kotulak, M. Mleczko, and J. Rapinski
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 321–326, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-321-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-321-2022, 2022
S. Shahbazi, M. Crosetto, and A. Barra
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 349–354, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-349-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-349-2022, 2022
D. Abate, M. Paolanti, R. Pierdicca, A. Lampropoulos, K. Toumbas, A. Agapiou, S. Vergis, E. Malinverni, K. Petrides, A. Felicetti, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 729–736, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022, 2022
Y. Wassie, Q. Gao, O. Monserrat, A. Barra, B. Crippa, and M. Crosetto
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 361–366, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-361-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-361-2022, 2022
A. H. Kanan and F. Pirotti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 625–632, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-625-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-625-2022, 2022
F. Tonion and F. Pirotti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 749–756, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-749-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-749-2022, 2022
M. Balestra, S. Chiappini, A. Vitali, E. Tonelli, F. Malandra, A. Galli, C. Urbinati, E. S. Malinverni, and R. Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 833–839, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022, 2022
E. Kutchartt, J. Hernández, P. Corvalán, Á. Promis, and F. Pirotti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 913–920, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-913-2022, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-913-2022, 2022
E. Kutchartt, M. Pedron, and F. Pirotti
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 431–438, https://doi.org/10.5194/isprs-annals-V-3-2022-431-2022, https://doi.org/10.5194/isprs-annals-V-3-2022-431-2022, 2022
A. Murtiyoso, F. Matrone, M. Martini, A. Lingua, P. Grussenmeyer, and R. Pierdicca
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 317–324, https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022, https://doi.org/10.5194/isprs-annals-V-2-2022-317-2022, 2022
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