Deep learning for urban land use category classification: A review and experimental assessment
#5PRI RANKED
Most Cited Paper
in Land Use and Ecosystem Services
18 Months Post-Publication
Class of 2026
“Deep learning for urban land use category classification: A review and experimental assessment”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
Urban LULC mapping · deep learning · geospatial big data · Remote sensing · convolutional neural networks · classification units · sample size effects · transfer learning · multi-source data fusion · urban environmental dynamics · land use mapping accuracy · Shenzhen case study · image segmentation · spatial data integration · deep neural network architectures · training data requirements · automated mapping · scale effects
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Land Use and Ecosystem Services Papers, Class of 2026. https://pri.pepkio.com/top-papers/land-use-and-ecosystem-services/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459