IDENTIFICATION AND MAPPING OF TREE SPECIES IN URBAN AREAS USING WORLDVIEW-2 IMAGERY

10 citations as recorded by crossref.

1. Classification of tree species in a heterogeneous urban environment using object-based ensemble analysis and World View-2 satellite imagery S. Jombo et al. https://doi.org/10.1007/s12518-021-00358-3
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3. Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests N. Nik Effendi et al. https://doi.org/10.1080/10106049.2021.1990419
4. Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data M. Choudhury et al. https://doi.org/10.3390/f12060692
5. Classification of urban tree species using LiDAR data and WorldView-2 satellite imagery in a heterogeneous environment S. Jombo et al. https://doi.org/10.1080/10106049.2022.2028904
6. Invasive species identification from high-resolution 4-band multispectral imagery C. Ardohain et al. https://doi.org/10.1007/s10530-024-03397-0
7. The use of mobile lidar data and Gaofen-2 image to classify roadside trees M. Wang et al. https://doi.org/10.1088/1361-6501/aba322
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9. Examining the strength of the newly-launched Sentinel 2 MSI sensor in detecting and discriminating subtle differences between C3 and C4 grass species C. Shoko & O. Mutanga https://doi.org/10.1016/j.isprsjprs.2017.04.016
10. Tree census of urban green space with special reference to Gora Cemetery of Lahore, Pakistan . Shazia Pervaiz, Safdar Ali Shirazi, Filza Zafar Khan https://doi.org/10.12692/ijb/13.1.430-438