| Structure from motion photogrammetry in forestry: A review J Iglhaut, C Cabo, S Puliti, L Piermattei, J O’Connor, J Rosette Current Forestry Reports 5, 155-168, 2019 | 588 | 2019 |
| Terrestrial structure from motion photogrammetry for deriving forest inventory data L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový, M Koreň, ... Remote Sensing 11 (8), 950, 2019 | 124 | 2019 |
| Use of terrestrial photogrammetry based on structure‐from‐motion for mass balance estimation of a small glacier in the Italian alps L Piermattei, L Carturan, A Guarnieri Earth Surface Processes and Landforms 40 (13), 1791-1802, 2015 | 106 | 2015 |
| Suitability of ground-based SfM–MVS for monitoring glacial and periglacial processes L Piermattei, L Carturan, F de Blasi, P Tarolli, G Dalla Fontana, A Vettore, ... Earth Surface Dynamics 4 (2), 425-443, 2016 | 71 | 2016 |
| Impact of the acquisition geometry of very high-resolution Pléiades imagery on the accuracy of canopy height models over forested alpine regions L Piermattei, M Marty, W Karel, C Ressl, M Hollaus, C Ginzler, N Pfeifer Remote Sensing 10 (10), 1542, 2018 | 36 | 2018 |
| Kore n, M L Piermattei, W Karel, D Wang, M Wieser, M Mokroš, P Surový Tomaštík, J, 0 | 33 | |
| Multi-decadal (1953–2017) rock glacier kinematics analysed by high-resolution topographic data in the upper Kaunertal, Austria F Fleischer, F Haas, L Piermattei, M Pfeiffer, T Heckmann, M Altmann, ... The Cryosphere 15 (12), 5345-5369, 2021 | 30 | 2021 |
| Pléiades satellite images for deriving forest metrics in the Alpine region L Piermattei, M Marty, C Ginzler, M Pöchtrager, W Karel, C Ressl, ... International Journal of Applied Earth Observation and Geoinformation 80 …, 2019 | 23 | 2019 |
| Structure from motion photogrammetry in forestry: a review. Curr For Rep 5: 155–168 J Iglhaut, C Cabo, S Puliti, L Piermattei, J O’Connor, J Rosette | 20 | 2019 |
| Three different glacier surges at a spot: what satellites observe and what not F Paul, L Piermattei, D Treichler, L Gilbert, L Girod, A Kääb, L Libert, ... The Cryosphere Discussions 2021, 1-37, 2021 | 19 | 2021 |
| Modelling of vegetation dynamics from satellite time series to determine proglacial primary succession in the course of global warming—a case study in the Upper Martell Valley … B Knoflach, K Ramskogler, L Talluto, F Hofmeister, F Haas, T Heckmann, ... Remote Sensing 13 (21), 4450, 2021 | 15 | 2021 |
| Panorama image sets for terrestrial photogrammetric surveys L Piermattei, W Karel, A Vettore, N Pfeifer ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 15 | 2016 |
| Minor imbalance of the lowermost Italian glacier from 2006 to 2019 J De Marco, L Carturan, L Piermattei, S Cucchiaro, D Moro, ... Water 12 (9), 2503, 2020 | 14 | 2020 |
| Long-term changes of morphodynamics on Little Ice Age lateral moraines and the resulting sediment transfer into mountain streams in the Upper Kauner Valley, Austria M Altmann, L Piermattei, F Haas, T Heckmann, F Fleischer, J Rom, ... Water 12 (12), 3375, 2020 | 13 | 2020 |
| Structure from motion photogrammetry in forestry: A review. Current Forestry Reports, 5 (3), 155–168 J Iglhaut, C Cabo, S Puliti, L Piermattei, J O’connor, J Rosette | 13 | 2019 |
| Structure from Motion Photogrammetry in Forestry: a Review. Current Forestry Reports 5: 155–168 J Iglhaut, C Cabo, S Puliti, L Piermattei, J O’Connor, J Rosette DOI: https://doi. org/10.1007/s40725-019-00094-3, 2019 | 12 | 2019 |
| Spherical photogrammetry as rescue documentation for the reconstruction of some UNESCO sites in Syria G Fangi, L Piermattei, W Wahbeh International journal of heritage in the digital era 2 (3), 335-341, 2013 | 12 | 2013 |
| Structure from motion photogrammetry in forestry: a review. Curr For Rep 5 (3): 155–168 J Iglhaut, C Cabo, S Puliti, L Piermattei, J O’Connor, J Rosette | 11 | 2019 |
| Spherical photogrammetry as emergency photogrammetry E d’Annibale, L Piermattei, G Fangi INTERNATIONAL CIPA SYMPOSIUM 23, 2011 | 10 | 2011 |
| Long-term assessment of terrain changes and calculation of erosion rates in an alpine catchment based on SfM-MVS processing of historical aerial images. How camera information … M Stark, J Rom, F Haas, L Piermattei, F Fleischer, M Altmann, M Becht Journal of Geomorphology 1 (1), 43-77, 2022 | 8 | 2022 |
