Change detection based on artificial intelligence: State-of-the-art and challenges

W Shi, M Zhang, R Zhang, S Chen, Z Zhan - Remote Sensing, 2020 - mdpi.com
Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …

Landslide identification using machine learning techniques: Review, motivation, and future prospects

VC SS, E Shaji - Earth science informatics, 2022 - Springer
Abstract The WHO (World Health Organization) study reports that, between 1998-2017, 4.8
million people have been affected by landslides with more than 18000 deaths. The …

Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods

TR Martha, N Kerle, V Jetten, CJ van Westen… - Geomorphology, 2010 - Elsevier
Recognition and classification of landslides is a critical requirement in pre-and post-disaster
hazard analysis. This has been primarily done through field map** or manual image …

Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy

P Magliulo, A Di Lisio, F Russo, A Zelano - Natural hazards, 2008 - Springer
In this article, the results of a study aimed to assess the landslide susceptibility in the
Calaggio Torrent basin (Campanian Apennines, southern Italy) are presented. The landslide …

[HTML][HTML] Analysis of the dynamics of land use change and its prediction based on the integration of remotely sensed data and CA-Markov model, in the upstream …

F Yulianto, T Maulana… - International Journal of …, 2019 - Taylor & Francis
In this research, the integration of remotely sensed data and Cellular Automata-Markov
model (CA-Markov) have been used to analyze the dynamics of land use change and its …

Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides

X Yang, L Chen - International Journal of Applied Earth Observation and …, 2010 - Elsevier
Landslides are a major type of geohazards claiming thousands of casualties and billions of
dollars in property damages every year. Catastrophic landslide activities are often triggered …

[HTML][HTML] Detection of changes in semi-natural grasslands by cross correlation analysis with WorldView-2 images and new Landsat 8 data

C Tarantino, M Adamo, R Lucas, P Blonda - Remote Sensing of …, 2016 - Elsevier
Abstract Focusing on a Mediterranean Natura 2000 site in Italy, the effectiveness of the cross
correlation analysis (CCA) technique for quantifying change in the area of semi-natural …
Land use/cover change and driving force analyses in parts of northern Iran using RS and GIS techniques.
A Kelarestaghi, Z Jafarian Jeloudar - Arabian Journal of Geosciences, 2011 - faratarjome.ir
To accomplish integrated watershed management and land use planning, it is necessary to
study the dynamic spatial pattern of land use and cover change related to socioeconomical …

Satellite Earth observation data to identify anthropogenic pressures in selected protected areas

H Nagendra, P Mairota, C Marangi, R Lucas… - International Journal of …, 2015 - Elsevier
Protected areas are experiencing increased levels of human pressure. To enable
appropriate conservation action, it is critical to map and monitor changes in the type and …

Land management versus natural factors in land instability: some examples in northern Spain

VM Bruschi, J Bonachea, J Remondo… - Environmental …, 2013 - Springer
The objective of this work is to test a hypothesis formulated on the basis of former results
which considers that there might be a “global geomorphic change,” due to activities related …