COMPARISON OF OBJECT BASED MACHINE LEARNING CLASSIFICATIONS OF PLANETSCOPE AND WORLDVIEW-3 SATELLITE IMAGES FOR LAND USE / COVER

7 citations as recorded by crossref.

1. The Feasibility of Monitoring Great Plains Playa Inundation with the Sentinel 2A/B Satellites for Ecological and Hydrological Applications H. Tripp et al.
2. Using Landsat-5 for Accurate Historical LULC Classification: A Comparison of Machine Learning Models D. Krivoguz et al.
3. Comparing WorldView-2 and PlanetScope Imagery to Mapping Housing Types Using GEOBIA A. Hafiudzan et al.
4. Planetscope Nanosatellites Image Classification Using Machine Learning M. Anul Haq
5. Integrating UAV-Derived Information and WorldView-3 Imagery for Mapping Wetland Plants in the Old Woman Creek Estuary, USA M. Islam et al.
6. Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model D. Mohabey et al.
7. Application of nanosatellites PlanetScope data to monitor crop growth S. Kokhan et al.