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Automatic Extraction and Filtering of OpenStreetMap Data to Generate Training Datasets for Land Use Land Cover Classification
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/2014jg002761openalex-snapshot
Large increase in dissolved inorganic carbon flux from the Mississippi River to Gulf of Mexico due to climatic and anthropogenic changes over the 21st century
inferredcites →https://doi.org/10.1002/ecs2.1652openalex-snapshot
Using nested connectivity models to resolve management conflicts of isolated water networks in the Sonoran Desert
inferredcites →https://doi.org/10.1002/hyp.11282openalex-snapshot
Hydrologic response to future land use change in the Upper Mississippi River Basin by the end of 21st century
inferredcites →https://doi.org/10.1007/978-1-4419-9326-7openalex-snapshot
Ensemble Machine Learning: Methods and Applications
inferredcites →https://doi.org/10.1007/s10708-007-9111-yopenalex-snapshot
Citizens as sensors: the world of volunteered geography
inferredcites →https://doi.org/10.1016/0034-4257(91)90017-zopenalex-snapshot
Normalized difference vegetation index measurements from the advanced very high resolution radiometer
inferredcites →https://doi.org/10.1016/j.apgeog.2015.12.006openalex-snapshot
Integrating OpenStreetMap crowdsourced data and Landsat time-series imagery for rapid land use/land cover (LULC) mapping: Case study of the Laguna de Bay area of the Philippines
inferredcites →https://doi.org/10.1016/j.biocon.2018.05.019openalex-snapshot
Assessing threats of non-native species to native freshwater biodiversity: Conservation priorities for the United States
inferredcites →https://doi.org/10.1016/j.ecolmodel.2017.09.017openalex-snapshot
Simulating the effects of management practices on cropland soil organic carbon changes in the Temperate Prairies Ecoregion of the United States from 1980 to 2012
inferredcites →https://doi.org/10.1016/j.ejrh.2017.11.004openalex-snapshot
Streamflow response to potential land use and climate changes in the James River watershed, Upper Midwest United States
inferredcites →https://doi.org/10.1016/j.isprsjprs.2015.10.012openalex-snapshot
Geospatial big data handling theory and methods: A review and research challenges
inferredcites →https://doi.org/10.1016/j.jag.2017.07.014openalex-snapshot
Open land cover from OpenStreetMap and remote sensing
inferredcites →https://doi.org/10.1016/j.patrec.2005.08.011openalex-snapshot
Random Forests for land cover classification
inferredcites →https://doi.org/10.1016/j.rse.2012.06.006openalex-snapshot
Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
inferredcites →https://doi.org/10.1016/j.rse.2018.06.043openalex-snapshot
Multi-view object-based classification of wetland land covers using unmanned aircraft system images
inferredcites →https://doi.org/10.1016/j.rse.2019.05.018openalex-snapshot
Key issues in rigorous accuracy assessment of land cover products
inferredcites →https://doi.org/10.1016/j.rse.2019.111261openalex-snapshot
Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program
inferredcites →https://doi.org/10.1016/s0034-4257(02)00078-0openalex-snapshot
Global land cover mapping from MODIS: algorithms and early results
inferredcites →https://doi.org/10.1080/014311600210092openalex-snapshot
Land cover mapping of large areas from satellites: Status and research priorities
inferredcites →https://doi.org/10.1080/01431160304987openalex-snapshot
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
inferredcites →https://doi.org/10.1080/01431160903131000openalex-snapshot
Sampling designs for accuracy assessment of land cover
inferredcites →https://doi.org/10.1080/01431169608948714openalex-snapshot
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
inferredcites →https://doi.org/10.1080/13658816.2013.800871openalex-snapshot
Toward mapping land-use patterns from volunteered geographic information
inferredcites →https://doi.org/10.1080/13658816.2014.909045openalex-snapshot
Fine-resolution population mapping using OpenStreetMap points-of-interest
inferredcites →https://doi.org/10.1109/icpr.2006.557openalex-snapshot
Feature Selection based on the Bhattacharyya Distance
inferredcites →https://doi.org/10.1109/igarss.2018.8518311openalex-snapshot
Generation of Training Examples Using OSM Data Applied for Remote Sensed Landcover Classification
inferredcites →https://doi.org/10.1109/jurse.2015.7120486openalex-snapshot
An evaluation of land use land cover (LULC) classification for urban applications with Quickbird and WorldView2 data
inferredcites →https://doi.org/10.1186/s40965-019-0067-xopenalex-snapshot
OpenStreetMap history for intrinsic quality assessment: Is OSM up-to-date?
inferredcites →https://doi.org/10.1186/s40965-019-0070-2openalex-snapshot
Automatic conversion of OSM data into LULC maps: comparing FOSS4G based approaches towards an enhanced performance
inferredcites →https://doi.org/10.1371/journal.pone.0107042openalex-snapshot
Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
inferredcites →https://doi.org/10.3390/hydrology5030034openalex-snapshot
Analysing the Potential of OpenStreetMap Data to Improve the Accuracy of SRTM 30 DEM on Derived Basin Delineation, Slope, and Drainage Networks
inferredcites →https://doi.org/10.3390/ijgi5050055openalex-snapshot
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
inferredcites →https://doi.org/10.3390/ijgi6040125openalex-snapshot
Generating Up-to-Date and Detailed Land Use and Land Cover Maps Using OpenStreetMap and GlobeLand30
inferredcites →https://doi.org/10.3390/rs10101553openalex-snapshot
Integrating Aerial and Street View Images for Urban Land Use Classification
inferredcites →https://doi.org/10.4018/978-1-5225-2446-5.ch007openalex-snapshot
Using OpenStreetMap to Create Land Use and Land Cover Maps
inferredcites →https://doi.org/10.5194/isprsarchives-xl-4-w1-51-2013openalex-snapshot
EXPLOITING VOLUNTEERED GEOGRAPHIC INFORMATION TO EASE LAND USE MAPPING OF AN URBAN LANDSCAPE
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4762431openalex-extracted
Time-Series Urban Land Use Mapping in China (2016-2022): An Approach for Achieving Spatial-Consistency and Semantic-Transition Rationality in Temporal Domain
inferred← citeshttps://doi.org/10.1007/978-3-032-25809-0_15openalex-snapshot
TrailSurfNET: Automated Hiking Trail Surface Classification Using CNNs and OpenStreetMap Annotations
inferred← citeshttps://doi.org/10.1016/j.jag.2023.103591openalex-snapshot
Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning
inferred← citeshttps://doi.org/10.1016/j.jag.2024.104272openalex-snapshot
Combining readily available population and land cover maps to generate non-residential built-up labels to train Sentinel-2 image segmentation models
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114344openalex-snapshot
Time-series China urban land use mapping (2016–2022): An approach for achieving spatial-consistency and semantic-transition rationality in temporal domain
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115352openalex-snapshot
RURBAN-Map: A knowledge-guided framework for nationwide fine-scale urban-rural land use mapping in China
inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.166966openalex-snapshot
Landsat-derived impervious surface area expansion in the Arctic from 1985 to 2021
inferred← citeshttps://doi.org/10.1038/s41598-022-24263-wopenalex-snapshot
Predicting building types using OpenStreetMap
inferred← citeshttps://doi.org/10.1080/10095020.2025.2582278openalex-snapshot
Box2Pix: an automatic box-level to pixel-level annotation transformation method for fire detection in remote sensing images
inferred← citeshttps://doi.org/10.1080/10106049.2025.2451174openalex-snapshot
Integration of InSAR coherence and SAR backscatter increases accuracy of LULC mapping in tropical high-mountain ecosystems
inferred← citeshttps://doi.org/10.1080/10106049.2026.2720980openalex-snapshot
Creation of a detailed land use land cover product for the territory of the European Union based on OpenStreetMap and CLCplus data
inferred← citeshttps://doi.org/10.1080/15481603.2021.1933367openalex-snapshot
Automatic mapping of urban green spaces using a geospatial neural network
inferred← citeshttps://doi.org/10.1080/17538947.2024.2409351openalex-snapshot
Landsat image classification using a deep learning model and multiple-source training samples
inferred← citeshttps://doi.org/10.1080/17538947.2025.2480220openalex-snapshot
Recent advances in Volunteered Geographic Information (VGI) and citizen sensing
inferred← citeshttps://doi.org/10.1080/17538947.2025.2562058openalex-snapshot
A multi-criteria optimization approach for the geometric integration of vector-based land cover datasets
inferred← citeshttps://doi.org/10.1080/22797254.2024.2341414openalex-snapshot
Training data in satellite image classification for land cover mapping: a review
inferred← citeshttps://doi.org/10.1109/cvprw56347.2022.00139openalex-snapshot
OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery
inferred← citeshttps://doi.org/10.1109/exp.at2565440.2025.11348326openalex-snapshot
Land Use Mapping with OpenStreetMap: A Machine Learning approach
inferred← citeshttps://doi.org/10.2139/ssrn.6578542openalex-snapshot
Exploring TESSERA earth embeddings latent space: a regional unsupervised OpenStreetMap’s landuse classification and topographic characterization
inferred← citeshttps://doi.org/10.3390/rs14051263openalex-snapshot
Data Fusion in Earth Observation and the Role of Citizen as a Sensor: A Scoping Review of Applications, Methods and Future Trends
inferred← citeshttps://doi.org/10.3390/rs14081865openalex-snapshot
Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge
inferred← citeshttps://doi.org/10.3390/urbansci10070352openalex-snapshot
Small Models, Big Cities: A Low-Cost AI Pipeline for Urban Regulatory Document Analysis in Metropolitan Planning
inferred← citeshttps://doi.org/10.5194/essd-14-3649-2022openalex-snapshot
Mapping 10 m global impervious surface area (GISA-10m) using multi-source geospatial data
inferred← citeshttps://doi.org/10.5194/isprs-annals-v-3-2022-25-2022openalex-snapshot
GEOGRAPHICAL TRANSFERABILITY OF LULC IMAGE-BASED SEGMENTATION MODELS USING TRAINING DATA AUTOMATICALLY GENERATED FROM OPENSTREETMAP – CASE STUDY IN PORTUGAL
inferred← citeshttps://doi.org/10.5194/isprs-annals-x-1-w1-2023-813-2023openalex-snapshot
AUTOMATIC NON-RESIDENTIAL BUILT-UP MAPPING OVER NATIONAL EXTENTS WITH A SENTINEL-2 IMAGE SEGMENTATION MODEL TRAINED WITH ANCILLARY CENSUS DATA
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b4-2022-253-2022openalex-snapshot
A CONCEPTUAL MODEL FOR CONVERTING OPENSTREETMAP CONTRIBUTION TO GEOSPATIAL MACHINE LEARNING TRAINING DATA
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