Landslide detection using visualization techniques for deep convolutional neural network models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-021-04838-y.pdf
Reference46 articles.
1. AFAD (2018) Turkish Disaster and Emergency Management Directorate, Disaster Management and Natural Disaster Statistics in Turkey
2. Alan S, Soylu N (2019) Comparison of PTEN expression in hashimoto thyroiditis, follicular adenoma, papillary and follicular carcinomas. Ann Med Res 26:1. https://doi.org/10.5455/annalsmedres.2018.01.057
3. Angelino CV, Cicala L, Parrilli S, et al. (2020) Post-Fire Assessment of Burned Areas with Landsat-8 and Sentinel-2 Imagery Together with Modis and Viirs Active Fire Products. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp 6770–6773. https://doi.org/10.1109/IGARSS39084.2020.9324512
4. Bellotti F, Bianchi M, Colombo D, et al (2014) Advanced InSAR techniques to support landslide monitoring. Pardo-Igúzquiza E., Guardiola-Albert C., Heredia J., Moreno-Merino L., Durán J., Vargas-Guzmán J. (eds) Mathematics of Planet Earth. Lecture Notes in Earth System Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32408-6_64
5. Bernat Gazibara S, Krkač M, Mihalić Arbanas S (2019) Landslide inventory mapping using LiDAR data in the City of Zagreb (Croatia). J Maps 15:773–779. https://doi.org/10.1080/17445647.2019.1671906
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