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A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, Australia

https://doi.org/10.3390/s19224893
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
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Ensemble-based landslide susceptibility maps in Jinbu area, Korea
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A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, Italy
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Geographic Object-Based Image Analysis – Towards a new paradigm
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Automated parameterisation for multi-scale image segmentation on multiple layers
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SegOptim—A new R package for optimizing object-based image analyses of high-spatial resolution remotely-sensed data
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Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
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inferredcites →https://doi.org/10.1016/j.scitotenv.2017.07.198openalex-snapshot
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inferredcites →https://doi.org/10.1016/s0341-8162(02)00143-1openalex-snapshot
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inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
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inferredcites →https://doi.org/10.1023/a:1012460413855openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Use of TanDEM-X and Sentinel Products to Derive Gully Activity Maps in Kunene Region (Namibia) Based on Automatic Iterative Random Forest Approach
inferred← citeshttps://doi.org/10.1109/jstars.2020.3043836openalex-snapshot
Landslide Mapping Using Two Main Deep-Learning Convolution Neural Network Streams Combined by the Dempster–Shafer Model
inferred← citeshttps://doi.org/10.1155/2020/4310791openalex-snapshot
Improving Voting Feature Intervals for Spatial Prediction of Landslides
inferred← citeshttps://doi.org/10.14393/ufu.di.2022.617openalex-snapshot
Habilitando previsões de desastres em cenários de IoT com transferência de aprendizado
inferred← citeshttps://doi.org/10.2139/ssrn.5106908openalex-snapshot
Distribution, Trends, and Drivers of Snow Avalanche Susceptibility in the Earth's Third Pole
inferred← citeshttps://doi.org/10.3389/feart.2022.1100363openalex-snapshot
Key predisposing factors and susceptibility assessment of landslides along the Yunnan–Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques
inferred← citeshttps://doi.org/10.3390/app10062039openalex-snapshot
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
inferred← citeshttps://doi.org/10.3390/app9245393openalex-snapshot
Landslide Susceptibility Mapping for Austria Using Geons and Optimization with the Dempster-Shafer Theory
inferred← citeshttps://doi.org/10.3390/electronics13245027openalex-snapshot
Coral Reef Surveillance with Machine Learning: A Review of Datasets, Techniques, and Challenges
inferred← citeshttps://doi.org/10.3390/geosciences11010025openalex-snapshot
Spatial Prediction of Future Flood Risk: An Approach to the Effects of Climate Change
inferred← citeshttps://doi.org/10.3390/ijgi9040252openalex-snapshot
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach
inferred← citeshttps://doi.org/10.3390/ijgi9100561openalex-snapshot
An Application of Sentinel-1, Sentinel-2, and GNSS Data for Landslide Susceptibility Mapping
inferred← citeshttps://doi.org/10.3390/land11020204openalex-snapshot
Local Factors Controlling Gully Development in a Mediterranean Environment
inferred← citeshttps://doi.org/10.3390/land11111905openalex-snapshot
A Joint Bayesian Optimization for the Classification of Fine Spatial Resolution Remotely Sensed Imagery Using Object-Based Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/land12061199openalex-snapshot
Gully Head-Cuts Inventory and Semi-Automatic Gully Extraction Using LiDAR and Topographic Openness—Case Study: Covurlui Plateau, Eastern Romania
inferred← citeshttps://doi.org/10.3390/land14071344openalex-snapshot
An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy
inferred← citeshttps://doi.org/10.3390/rs12111743openalex-snapshot
Automatic Gully Detection: Neural Networks and Computer Vision
inferred← citeshttps://doi.org/10.3390/rs12152478openalex-snapshot
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
inferred← citeshttps://doi.org/10.3390/rs12244047openalex-snapshot
Mapping Soil Degradation on Arable Land with Aerial Photography and Erosion Models, Case Study from Danube Lowland, Slovakia
inferred← citeshttps://doi.org/10.3390/rs13152980openalex-snapshot
Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems
inferred← citeshttps://doi.org/10.3390/rs13173361openalex-snapshot
Unmanned Aerial Vehicle (UAV)-Based Mapping of Acacia saligna Invasion in the Mediterranean Coast
inferred← citeshttps://doi.org/10.3390/rs13224698openalex-snapshot
Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
inferred← citeshttps://doi.org/10.3390/rs14030672openalex-snapshot
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions
inferred← citeshttps://doi.org/10.3390/rs16193562openalex-snapshot
A Multi-Scale Content-Structure Feature Extraction Network Applied to Gully Extraction
inferred← citeshttps://doi.org/10.3390/rs16244742openalex-snapshot
Gully Erosion Susceptibility Prediction Using High-Resolution Data: Evaluation, Comparison, and Improvement of Multiple Machine Learning Models
inferred← citeshttps://doi.org/10.3390/rs17101759openalex-snapshot
Machine Learning-Based Alfalfa Height Estimation Using Sentinel-2 Multispectral Imagery
inferred← citeshttps://doi.org/10.3390/rs17233792openalex-snapshot
Gully Extraction in Northeast China’s Black Soil Region: A Multi-CNN Comparison with Texture-Enhanced Remote Sensing
inferred← citeshttps://doi.org/10.3390/rs18111844openalex-snapshot
Multi-Model Machine Learning Mapping of Gully Erosion Susceptibility in the Heihe Region of the Xiaoxingán Mountains, China
inferred← citeshttps://doi.org/10.3390/s19112444openalex-snapshot
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)
inferred← citeshttps://doi.org/10.3390/sym12030405openalex-snapshot
Earthquake Vulnerability Mapping Using Different Hybrid Models
inferred← citeshttps://doi.org/10.3390/w12030683openalex-snapshot
GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment
inferred← citeshttps://doi.org/10.3390/w13121650openalex-snapshot
Flash Flood Susceptibility Assessment and Zonation Using an Integrating Analytic Hierarchy Process and Frequency Ratio Model for the Chitral District, Khyber Pakhtunkhwa, Pakistan
inferred← citeshttps://doi.org/10.51800/ecd.1224255openalex-snapshot
Güzelhisar Havzasında Endüstriyel Gelişmenin Arazi Kullanımı ve Arazi Örtüsü Özellikleri Üzerindeki Etkisinin Bulut Tabanlı Makine Öğrenme Teknikleri ile Değerlendirilmesi
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.