Inventory of landslides triggered by an extreme rainfall event in Marche-Umbria, Italy, on 15 September 2022
Systematic and timely documentation of triggered (ie event) landslides is fundamental to
build extensive datasets worldwide that may help define and/or validate trends in response …
build extensive datasets worldwide that may help define and/or validate trends in response …
Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022
Timely and systematic collection of landslide information after a triggering event is pivotal for
the definition of landslide trends in response to climate change. On September 15, 2022, a …
the definition of landslide trends in response to climate change. On September 15, 2022, a …
Rockfall analysis from UAV-based photogrammetry and 3D models of a cliff area
The application of Unmanned Aerial Vehicles (UAVs), commonly known as drones, in
geological, geomorphological, and geotechnical studies has gained significant attention due …
geological, geomorphological, and geotechnical studies has gained significant attention due …
[HTML][HTML] An interpretation approach of ascending–descending SAR data for landslide identification
The technique of interferometric synthetic aperture radar (InSAR) is increasingly employed
for landslide detection over large areas, even though the limitations of initial InSAR analysis …
for landslide detection over large areas, even though the limitations of initial InSAR analysis …
[HTML][HTML] A near-real-time global landslide incident reporting tool demonstrator using social media and artificial intelligence
The development of a system that monitors social media continuously for general landslide-
related content using a landslide classification model to identify and retain the most relevant …
related content using a landslide classification model to identify and retain the most relevant …
Evaluation of SAR and optical data for flood delineation using supervised and unsupervised classification
Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and
multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous …
multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous …
MF-BHNet: A hybrid multimodal fusion network for building height estimation using Sentinel-1 and Sentinel-2 imagery
S Wang, B Cai, D Hou, Q Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Integrated Sentinel-1 synthetic aperture radar (SAR) imagery and Sentinel-2 optical imagery
have shown great promise in map** large-scale building height. Effectively fusing the …
have shown great promise in map** large-scale building height. Effectively fusing the …
Learning SAR-to-Optical Image Translation via Diffusion Models with Color Memory
Z Guo, J Liu, Q Cai, Z Zhang… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) and optical sensing are two important means of Earth
observation. SAR-to-optical image translation (S2OIT) can integrate the advantages of both …
observation. SAR-to-optical image translation (S2OIT) can integrate the advantages of both …
Fusing Ascending and Descending Time-Series SAR Images with Dual-Polarized Pixel Attention UNet for Landslide Recognition
B Pan, X Shi - Remote Sensing, 2023 - mdpi.com
Conducting landslide recognition research holds notable practical significance for disaster
management. In response to the challenges posed by noise, information redundancy, and …
management. In response to the challenges posed by noise, information redundancy, and …
Standards for shallow landslide identification in Brazil: Spatial trends and inventory map**
Map** shallow landslide inventories represents the initial stage in conducting
susceptibility, vulnerability, and risk analyses. The identification of areas with a history of …
susceptibility, vulnerability, and risk analyses. The identification of areas with a history of …