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

10 citations as recorded by crossref.

1. Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based Approach H. Vahidi et al. https://doi.org/10.3390/rs10071134
2. Using Kappa methodology to consider volunteered geographic information in official land administration systems in developing countries K. Moreri https://doi.org/10.1007/s41324-019-00289-7
3. Automatic mapping of urban green spaces using a geospatial neural network Y. Chen et al. https://doi.org/10.1080/15481603.2021.1933367
4. Fusing High-Spatial-Resolution Remotely Sensed Imagery and OpenStreetMap Data for Land Cover Classification Over Urban Areas N. Luo et al. https://doi.org/10.3390/rs11010088
5. Identifying urban land use social functional units: a case study using OSM data Z. Liu https://doi.org/10.1080/17538947.2021.1988161
6. Integrating Crowdsourced Data with a Land Cover Product: A Bayesian Data Fusion Approach S. Gengler & P. Bogaert https://doi.org/10.3390/rs8070545
7. Issues in developing a fit for purpose system for incorporating VGI in land administration in Botswana K. Moreri et al. https://doi.org/10.1016/j.landusepol.2018.05.063
8. Classification of High-Resolution Remote-Sensing Image Using OpenStreetMap Information T. Wan et al. https://doi.org/10.1109/LGRS.2017.2762466
9. Using open data to detect the structure and pattern of informal settlements: an outset to support inclusive SDGs’ achievement Z. Assarkhaniki et al. https://doi.org/10.1080/20964471.2021.1948178
10. Long Short-Term Memory and Attention Models for Simulating Urban Densification S. Hajjar et al. https://doi.org/10.1016/j.scs.2023.104852