[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 …
Landslide mapping with remote sensing: challenges and opportunities
Landslide mapping is the primary step for landslide investigation and prevention. At present,
both the accuracy and the degree of automation of landslide mapping with remote sensing …
both the accuracy and the degree of automation of landslide mapping with remote sensing …
Landslide detection of hyperspectral remote sensing data based on deep learning with constrains
C Ye, Y Li, P Cui, L Liang, S Pirasteh… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Detecting and monitoring landslides are hot topics in remote sensing community, particularly
with the development of remote sensing technologies and the significant progress of …
with the development of remote sensing technologies and the significant progress of …
Near infrared band of Landsat 8 as water index: a case study around Cordova and Lapu-Lapu City, Cebu, Philippines
JP Mondejar, AF Tongco - Sustainable Environment Research, 2019 - Springer
Monitoring water bodies by extraction using water indexes from remotely sensed images
has proven to be effective in delineating surface water against its surrounding. This study …
has proven to be effective in delineating surface water against its surrounding. This study …
[HTML][HTML] Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura …
J Jelének, V Kopačková-Strnadová - Remote Sensing of Environment, 2021 - Elsevier
Earthquakes can trigger numerous landslides and cause other significant changes in the
landscape over large areas. This study presents a new processing scheme combining radar …
landscape over large areas. This study presents a new processing scheme combining radar …
Advancements in satellite image classification: methodologies, techniques, approaches and applications
GA Fotso Kamga, L Bitjoka, T Akram… - … Journal of Remote …, 2021 - Taylor & Francis
Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …
for remote-sensing applications. In the former, an image is divided into spatially continuous …
Automatic recognition of erosion area on the slope of tailings dam using region growing segmentation algorithm
Q Li, J Geng, D Song, W Nie, P Saffari, J Liu - Arabian Journal of …, 2022 - Springer
The precise recognition of the deformation region is of importance for the early warning of
tailings dam erosion failure. A region-growing segmentation algorithm based on the …
tailings dam erosion failure. A region-growing segmentation algorithm based on the …
Landslide surface horizontal displacement monitoring based on image recognition technology and computer vision
W Xin, C Pu, W Liu, K Liu - Geomorphology, 2023 - Elsevier
The deformation and displacement of landslides has always been the priority of landslide
monitoring and early warning. With the development of image processing technology in …
monitoring and early warning. With the development of image processing technology in …
Comparison of landslide susceptibility models and their robustness analysis: a case study from the NW Himalayas, Pakistan
N Ikram, M Basharat, A Ali, NA Usmani… - Geocarto …, 2022 - Taylor & Francis
Abstract Machine learning methods are considered as most effective approaches to
accomplish landslide susceptibility analysis around the globe. Landslide susceptibility maps …
accomplish landslide susceptibility analysis around the globe. Landslide susceptibility maps …
[HTML][HTML] Automatic semantic segmentation and classification of remote sensing data for agriculture
Automatic semantic segmentation has expected increasing interest for researchers in recent
years on multispectral remote sensing (RS) system. The agriculture supports 58% of the …
years on multispectral remote sensing (RS) system. The agriculture supports 58% of the …