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Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Statistical Data Analysis Explained
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Landslide inventories and their statistical properties
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Mapping: Inventories, Susceptibility, Hazard and Risk
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Comparing Landslide Maps: A Case Study in the Upper Tiber River Basin, Central Italy
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Landslide hazard and risk zonation—why is it still so difficult?
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The new landslide inventory of Tuscany (Italy) updated with PS-InSAR: geomorphological features and landslide distribution
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The need for data: natural disasters and the challenges of database management
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Monitoring desertification by remote sensing using the Tasselled Cap transform for long-term change detection
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Landslide Mapping and Assessment by Integrating Landsat-8, PALSAR-2 and GIS Techniques: A Case Study from Kelantan State, Peninsular Malaysia
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Landslide spatial susceptibility mapping by using GIS and remote sensing techniques: a case study in Zigui County, the Three Georges reservoir, China
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Red and photographic infrared linear combinations for monitoring vegetation
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Remote sensing techniques for landslide studies and hazard zonation in Europe
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The use of satellite NDVI data for the validation of global vegetation phenology models: application to the Frankfurt Biosphere Model
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Detecting landslide location using KOMPSAT 1 and its application to landslide-susceptibility mapping at the Gangneung area, Korea
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Landslide identification and classification by object-based image analysis and fuzzy logic: An example from the Azdavay region (Kastamonu, Turkey)
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Landslide inventory maps: New tools for an old problem
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The effectiveness of hillshade maps and expert knowledge in mapping old deep-seated landslides
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Landslide incidence in the North of Portugal: Analysis of a historical landslide database based on press releases and technical reports
inferredcites →https://doi.org/10.1016/j.geomorph.2015.01.029openalex-snapshot
Remote sensing as tool for development of landslide databases: The case of the Messina Province (Italy) geodatabase
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A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system
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Change detection from remotely sensed images: From pixel-based to object-based approaches
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Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images
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Remote Sensing, natural hazards and the contribution of ESA Sentinels missions
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Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to incorporate endmember variability?
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Remote sensing of landslides: An analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments
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A Comparison of Four Algorithms for Change Detection in an Urban Environment
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Topographic Normalization of Landsat TM Images of Forest Based on Subpixel Sun–Canopy–Sensor Geometry
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Characterizing and monitoring rockslides from SAR techniques
inferredcites →https://doi.org/10.1016/s0273-1177(03)00471-xopenalex-snapshot
Locating landslides using multi-temporal satellite images
inferredcites →https://doi.org/10.1016/s0273-1177(97)00882-xopenalex-snapshot
Landslide characterisation in Canada using interferometric SAR and combined SAR and TM images
inferredcites →https://doi.org/10.1016/s0304-3800(03)00176-5openalex-snapshot
Assessing the accuracy of spatial simulation models
inferredcites →https://doi.org/10.1037/h0071325openalex-snapshot
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1080/0143116031000139863openalex-snapshot
Change detection techniques
inferredcites →https://doi.org/10.1080/01431168608948944openalex-snapshot
Satellite remote sensing of primary production
inferredcites →https://doi.org/10.1080/01431168908903939openalex-snapshot
Review Article Digital change detection techniques using remotely-sensed data
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Monitoring land-cover changes: A comparison of change detection techniques
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On the Slope-Aspect Correction of Multispectral Scanner Data
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Automatic analysis of the difference image for unsupervised change detection
inferredcites →https://doi.org/10.1109/geoinformatics.2009.5293490openalex-snapshot
The comparative study of three methods of remote sensing image change detection
inferredcites →https://doi.org/10.1109/igarss.2004.1370735openalex-snapshot
Three different unsupervised methods for change detection: an application
inferredcites →https://doi.org/10.1109/tgrs.2005.852480openalex-snapshot
SCS+C: a modified Sun-canopy-sensor topographic correction in forested terrain
inferredcites →https://doi.org/10.1109/tgrs.2013.2250293openalex-snapshot
Semiautomatic Object-Oriented Landslide Recognition Scheme From Multisensor Optical Imagery and DEM
inferredcites →https://doi.org/10.1109/tgrs.2014.2346535openalex-snapshot
Fast Subpixel Mapping Algorithms for Subpixel Resolution Change Detection
inferredcites →https://doi.org/10.1117/1.jrs.11.016016openalex-snapshot
Applying the chi-square transformation and automatic secant thresholding to Landsat imagery as unsupervised change detection methods
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
inferredcites →https://doi.org/10.1201/b10599-18openalex-snapshot
Land-Use and Land-Cover Change Detection
inferredcites →https://doi.org/10.14358/pers.69.4.369openalex-snapshot
Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis
inferredcites →https://doi.org/10.1785/bssa08601bs319openalex-snapshot
Landslides triggered by the 1994 Northridge, California, earthquake
inferredcites →https://doi.org/10.19026/rjaset.10.2575openalex-snapshot
Review of Change Detection Techniques from Remotely Sensed Images
inferredcites →https://doi.org/10.3133/ofr01443openalex-snapshot
Landslides triggered by Hurricane Mitch in Guatemala -- inventory and discussion
inferredcites →https://doi.org/10.3390/ijgi6090287openalex-snapshot
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas
inferredcites →https://doi.org/10.3390/ijgi7100394openalex-snapshot
Regional Landslide Identification Based on Susceptibility Analysis and Change Detection
inferredcites →https://doi.org/10.3390/rs10071029openalex-snapshot
Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer
inferredcites →https://doi.org/10.3390/rs10111756openalex-snapshot
Multi-Temporal Loess Landslide Inventory Mapping with C-, X- and L-Band SAR Datasets—A Case Study of Heifangtai Loess Landslides, China
inferredcites →https://doi.org/10.5194/isprs-annals-iii-7-125-2016openalex-snapshot
CHANGE DETECTION WITH MULTI-SOURCE DEFECTIVE REMOTE SENSING IMAGES BASED ON EVIDENTIAL FUSION
inferredcites →https://doi.org/10.5194/nhess-17-1285-2017openalex-snapshot
Application of Landsat-8 and ALOS-2 data for structural and landslide hazard mapping in Kelantan, Malaysia
inferredcites →https://doi.org/10.5194/nhess-6-115-2006openalex-snapshot
Landslide hazard assessment in the Collazzone area, Umbria, Central Italy
inferredcites →https://doi.org/10.5772/intechopen.71002openalex-snapshot
Thresholding Algorithm Optimization for Change Detection to Satellite Imagery
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Automated Landslide Detection with Artificial Neural Networks and Change Detection in Sentinel-2 Images: A Simple Approach for Landslide Scars Inventory
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A comparative machine learning approach to identify landslide triggering factors in northern Chilean Patagonia
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Co-seismic landslide detection after M 7.4 earthquake on June 23, 2020, in Oaxaca, Mexico, based on rapid mapping method using high and medium resolution synthetic aperture radar (SAR) images
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Multitemporal landslide inventory analysis of an intertropical mountain in west-central Mexico — Basis for hazard management
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Detecting Landslides Beyond Hydrology: Spectral Indices and Geochemical Controls
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Landslide inventory of the 2023 Serra do Mar disaster (Brazil)
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Change Detection with Autoencoders for Disaster Monitoring: A Case Study on Landslide Detection Using Thresholding
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Breaking Limits of Remote Sensing by Deep Learning From Simulated Data for Flood and Debris-Flow Mapping
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Spatial–Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images
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Unsupervised Change Detection Methods Applied to Landslide Mapping: Case Study in São Sebastião, Brazil
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