[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
Review of satellite interferometry for landslide detection in Italy
Landslides recurrently impact the Italian territory, producing huge economic losses and
casualties. Because of this, there is a large demand for monitoring tools to support landslide …
casualties. Because of this, there is a large demand for monitoring tools to support landslide …
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
W Chen, S Zhang, R Li, H Shahabi - Science of the total environment, 2018 - Elsevier
The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …
Spaceborne, UAV and ground-based remote sensing techniques for landslide mapping, monitoring and early warning
Background The current availability of advanced remote sensing technologies in the field of
landslide analysis allows for rapid and easily updatable data acquisitions, improving the …
landslide analysis allows for rapid and easily updatable data acquisitions, improving the …
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy
Co-seismic landslide mapping after earthquake event is essential for emergency rescue,
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide mapping …
geohazard prevention, and post-disaster reconstruction. Most co-seismic landslide mapping …
[HTML][HTML] Landslide mapping from multi-sensor data through improved change detection-based Markov random field
Accurate landslide inventory mapping is essential for quantitative hazard and risk
assessment. Although multi-temporal change detection techniques have contributed greatly …
assessment. Although multi-temporal change detection techniques have contributed greatly …
[HTML][HTML] Landslide susceptibility maps of Italy: Lesson learnt from dealing with multiple landslide types and the uneven spatial distribution of the national inventory
Landslide susceptibility corresponds to the probability of landslide occurrence across a
given geographic space. This probability is usually estimated by using a binary classifier …
given geographic space. This probability is usually estimated by using a binary classifier …
[HTML][HTML] World-wide InSAR sensitivity index for landslide deformation tracking
Landslides are a major geohazard in hilly and mountainous environments. In-situ inspection
of downslope motion is costly, sometimes dangerous and, requires prior knowledge of the …
of downslope motion is costly, sometimes dangerous and, requires prior knowledge of the …
Remote sensing for assessing landslides and associated hazards
Multi-platform remote sensing using space-, airborne and ground-based sensors has
become essential tools for landslide assessment and disaster-risk prevention. Over the last …
become essential tools for landslide assessment and disaster-risk prevention. Over the last …
Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping
In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was
created and the pre-landslide conditions of the region were evaluated with traditional …
created and the pre-landslide conditions of the region were evaluated with traditional …