4.7 Article

Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Geological

Space-time susceptibility modeling of hydro-morphological processes at the Chinese national scale

Nan Wang et al.

Summary: The study established a spatio-temporal susceptibility model for hydro-morphological processes, providing new insights for interpreting and predicting the occurrence of HMP. By integrating various variables, it depicted the annual susceptibility of HMP in different regions of China, and identified which catchments are more prone to be impacted by HMP.

ENGINEERING GEOLOGY (2022)

Article Engineering, Geological

Landslide size matters: A new data-driven, spatial prototype

Luigi Lombardo et al.

Summary: The article presents the development of landslide hazard assessment methods and introduces a statistically-based model capable of predicting aggregated landslide extent, which was tested on a global dataset. This new spatial predictive paradigm could be a breakthrough in landslide hazard studies and potentially become part of official landslide risk assessment protocols in the future.

ENGINEERING GEOLOGY (2021)

Article Environmental Sciences

Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform

Seyd Teymoor Seydi et al.

Summary: Wildfires are significant natural disasters that have a negative impact on human safety, natural ecosystems, and wildlife. Remote Sensing (RS) images are valuable resources for timely and accurate estimation of wildfire burn areas due to their wide coverage, high spatial and temporal resolution, and low cost. In this study, an estimation framework based on change analysis using Sentinel-2 imagery and MODIS products within the Google Earth Engine platform was implemented to detect and measure burned areas in Australia with high accuracy.

REMOTE SENSING (2021)

Article Geosciences, Multidisciplinary

APG: A novel python-based ArcGIS toolbox to generate absence-datasets for geospatial studies

Seyed Amir Naghibi et al.

Summary: The study introduces the Absence Point Generation (APG) toolbox for automated construction of absence-datasets in geospatial studies, significantly improving model performance in groundwater potential studies. The APG toolbox enhances model accuracy by generating absence datasets for environmental binary issues, showing improvements in model performance.

GEOSCIENCE FRONTIERS (2021)

Article Geosciences, Multidisciplinary

National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data

Qigen Lin et al.

Summary: China is one of the countries with high landslide fatality rates. The reliability of national-scale landslide susceptibility models is crucial for identifying high-risk areas and developing risk mitigation strategies. Incomplete landslide data can impact the accuracy of these models, and non-linear mixed-effect models can help reduce biases in large-scale modeling.

GEOSCIENCE FRONTIERS (2021)

Article Remote Sensing

Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices

Thomas James et al.

Summary: This study demonstrates the effectiveness and superiority of using convolutional neural networks for water segmentation on a global scale with medium resolution satellite images. Retraining the networks on localized subsets of data in different regions improved the accuracy of water segmentation predictions. The results suggest that CNNs can be deployed on the cloud and contribute to the broader use of satellite imagery for water management.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)

Article Engineering, Geological

Preliminary assessment of thaw slump hazard to Arctic cultural heritage in Nordenskiold Land, Svalbard

Ionut Cristi Nicu et al.

Summary: Permafrost-dependent landslides, such as retrogressive thaw slumps (RTSs), are dynamic landforms in the Arctic due to warming climate. This study conducted a preliminary assessment on previous thaw slump activity in Nordenskiold Land area of Svalbard, revealing a limited co-existence of RTS scars and cultural heritage sites in specific regions. The results, although preliminary, can be utilized by stakeholders in prioritizing future mitigation measures and disaster risk reduction.

LANDSLIDES (2021)

Article Geosciences, Multidisciplinary

When Enough Is Really Enough? On the Minimum Number of Landslides to Build Reliable Susceptibility Models

Giacomo Titti et al.

Summary: Mapping existing landslides is crucial for building reliable susceptibility models, especially in data-scarce regions where geoscientists may have to start from scratch. Developing detailed inventories in vast and complex territories requires significant investments in time and resources.

GEOSCIENCES (2021)

Article Geosciences, Multidisciplinary

HazMapper: a global open-source natural hazard mapping application in Google Earth Engine

Corey M. Scheip et al.

Summary: Modern satellite networks allow for near-real-time imaging of areas impacted by natural hazards, with HazMapper providing an open-access hazard mapping application for deriving products without the need for intensive resources. The tool relies on a vegetation-based metric and is not suitable for desert or polar regions, offering rapid and repeatable analysis for various natural disasters.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2021)

Article Computer Science, Interdisciplinary Applications

Landslide susceptibility mapping with r.landslide: A free open-source GIS-integrated tool based on Artificial Neural Networks

L. Bragagnolo et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2020)

Article Geosciences, Multidisciplinary

Space-time landslide predictive modelling

Luigi Lombardo et al.

EARTH-SCIENCE REVIEWS (2020)

Article Engineering, Geological

Spatial modeling of multi-hazard threat to cultural heritage sites

Luigi Lombardo et al.

ENGINEERING GEOLOGY (2020)

Article Environmental Sciences

PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches

Omid Rahmati et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Article Engineering, Geological

Presenting logistic regression-based landslide susceptibility results

Luigi Lombardo et al.

ENGINEERING GEOLOGY (2018)

Article Computer Science, Information Systems

Mapping landslide susceptibility and types using Random Forest

Khaled Taalab et al.

BIG EARTH DATA (2018)

Article Computer Science, Interdisciplinary Applications

Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model

Daniela Castro Camilo et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2017)

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Statistics & Probability

A random forest guided tour

Gerard Biau et al.

Article Computer Science, Interdisciplinary Applications

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

J. N. Goetz et al.

COMPUTERS & GEOSCIENCES (2015)

Article Environmental Sciences

A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy

Christian Conoscenti et al.

ENVIRONMENTAL EARTH SCIENCES (2013)

Article Geosciences, Multidisciplinary

Probabilistic flood hazard mapping: effects of uncertain boundary conditions

A. Domeneghetti et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2013)

Review Geosciences, Multidisciplinary

Seismic hazard analysis -: Quo vadis?

Jens-Uwe Kluegel

EARTH-SCIENCE REVIEWS (2008)

Article Archaeology

THE ASPRO: AN EXAMPLE OF MAPPING INTERFACE FOR THE CONSULTATION OF AN ARCHAEOLOGICAL BODY

Olivier Barge et al.

ARCHEOLOGIA E CALCOLATORI (2008)

Review Geochemistry & Geophysics

The shuttle radar topography mission

Tom G. Farr et al.

REVIEWS OF GEOPHYSICS (2007)

Article Meteorology & Atmospheric Sciences

Very high resolution interpolated climate surfaces for global land areas

RJ Hijmans et al.

INTERNATIONAL JOURNAL OF CLIMATOLOGY (2005)

Article Geography, Physical

Probabilistic landslide hazard assessment at the basin scale

F Guzzetti et al.

GEOMORPHOLOGY (2005)

Article Geosciences, Multidisciplinary

Validation of spatial prediction models for landslide hazard mapping

CJF Chung et al.

NATURAL HAZARDS (2003)