EXPLOITING VOLUNTEERED GEOGRAPHIC INFORMATION TO EASE LAND USE MAPPING OF AN URBAN LANDSCAPE

10 citations as recorded by crossref.

1. Using Latent Semantic Analysis to Identify Research Trends in OpenStreetMap S. Sehra et al. 10.3390/ijgi6070195
2. Using Kappa methodology to consider volunteered geographic information in official land administration systems in developing countries K. Moreri 10.1007/s41324-019-00289-7
3. Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River basin D. Liu et al. 10.1016/j.isprsjprs.2019.11.021
4. Automatic mapping of urban green spaces using a geospatial neural network Y. Chen et al. 10.1080/15481603.2021.1933367
5. Automatic Extraction and Filtering of OpenStreetMap Data to Generate Training Datasets for Land Use Land Cover Classification C. Fonte et al. 10.3390/rs12203428
6. Identifying urban land use social functional units: a case study using OSM data Z. Liu 10.1080/17538947.2021.1988161
7. Integrating Crowdsourced Data with a Land Cover Product: A Bayesian Data Fusion Approach S. Gengler & P. Bogaert 10.3390/rs8070545
8. Issues in developing a fit for purpose system for incorporating VGI in land administration in Botswana K. Moreri et al. 10.1016/j.landusepol.2018.05.063
9. Classification of High-Resolution Remote-Sensing Image Using OpenStreetMap Information T. Wan et al. 10.1109/LGRS.2017.2762466
10. Using open data to detect the structure and pattern of informal settlements: an outset to support inclusive SDGs’ achievement Z. Assarkhaniki et al. 10.1080/20964471.2021.1948178