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 …

Active-learning approaches for landslide mapping using support vector machines

Z Wang, A Brenning - Remote Sensing, 2021 - mdpi.com
Ex post landslide mapping for emergency response and ex ante landslide susceptibility
modelling for hazard mitigation are two important application scenarios that require the …

Flood hazard susceptibility assessment in Chiffa wadi watershed and along the first section of Algeria North–South highway using GIS and AHP method

A Goumrasa, M Guendouz, MS Guettouche… - Applied Geomatics, 2021 - Springer
Flood susceptibility mapping and assessment are essential to determine adequate
protective measures to ensure an area or infrastructure's safety. This study aims to assess …

Landslide scar/soil erodibility mapping using Landsat TM/ETM+ bands 7 and 3 Normalised Difference Index: A case study of central region of Kenya

MW Mwaniki, NO Agutu, JG Mbaka, TG Ngigi… - Applied …, 2015 - Elsevier
Landsat series multispectral remote sensing imagery has gained increasing attention in
providing solutions to environmental problems such as land degradation which exacerbate …

Understanding the occurrences of fault and landslide in the region of West-Cameroon using remote sensing and GIS techniques

Z Aretouyap, FEG Kemgang, JK Domra, D Bisso… - Natural Hazards, 2021 - Springer
Remote sensing was used to visualize the West region with the purpose of investigating
recent natural hazards observed in this area. Various approaches used based on multi …

Image enhancements of Landsat 8 (OLI) and SAR data for preliminary landslide identification and mapping applied to the central region of Kenya

MW Mwaniki, DN Kuria, MK Boitt, TG Ngigi - Geomorphology, 2017 - Elsevier
Image enhancements lead to improved performance and increased accuracy of feature
extraction, recognition, identification, classification and hence change detection. This …

Landslide detection and inventory by integrating LiDAR data in a GIS environment

JA Palenzuela, M Marsella, C Nardinocchi, JL Pérez… - Landslides, 2015 - Springer
In this work, a simple methodology is presented for processing high-resolution topographical
data over wide areas. It is based on digital elevation model of differences (DEMoD) among …

GIS-Based Multi-Criteria Decision Analysis Approach (GIS-MCDA) for investigating mass movements' hazard susceptibility along the first section of the Algerian North …

A Goumrasa, M Guendouz, MS Guettouche - Arabian Journal of …, 2021 - Springer
Abstract The North-South highway is a central axis of the Algerian road network. This major
project is expected to enhance the socio-economic development of Algeria. However, its first …

Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case …

Z Ren, J Ma, J Liu, X Deng, G Zhang… - Geocarto …, 2024 - Taylor & Francis
Deep learning (DL) techniques are now predominant in landslide detection, aiding in risk
assessment and disaster management. Detecting old landslides from open satellite imagery …

The 20 February 2010 Madeira Island flash-floods: VHR satellite imagery processing in support of landslide inventory and sediment budget assessment

C Lira, M Lousada, AP Falcão… - … Hazards and Earth …, 2013 - nhess.copernicus.org
On 20 February 2010, an extreme rainfall episode occurred on Madeira Island, which
caused an exceptionally strong flash flood and several soil slip-debris flows, producing 45 …