Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory
- DOI
- 10.3390/s21082632
- Published
- 2021-04-08
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s21082632,
title = {Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory},
author = {Saverio Romeo and Antonio Cosentino and Francesco Giani and Giandomenico Mastrantoni and Paolo Mazzanti},
year = {2021},
journal = {Sensors},
doi = {10.3390/s21082632},
url = {https://doi.org/10.3390/s21082632}
}RIS
TY - JOUR TI - Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory AU - Saverio Romeo AU - Antonio Cosentino AU - Francesco Giani AU - Giandomenico Mastrantoni AU - Paolo Mazzanti PY - 2021 JO - Sensors DO - 10.3390/s21082632 UR - https://doi.org/10.3390/s21082632 ER -
APA
Romeo, S., Cosentino, A., Giani, F., Mastrantoni, G., & Mazzanti, P. (2021). Combining Ground Based Remote Sensing Tools for Rockfalls Assessment and Monitoring: The Poggio Baldi Landslide Natural Laboratory. Sensors. https://doi.org/10.3390/s21082632
Source records
- crossref · retrieved 2026-09-27T03:06:30.484Z