Land use and Land Cover Classification in São Paulo, Brazil, Using Landsat-8 Oli Images and Derived Spectral Indices
Author:
Affiliation:
1. Instituto Nacional de Pesquisas Espaciais,Brazil,12227-010
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283440.pdf?arnumber=10283440
Reference16 articles.
1. Burned Area in Land Use and Land Cover Classes in Sao Paulo State, Brazil
2. The least-squares mixing models to generate fraction images derived from remote sensing multispectral data
3. Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery;noi;SENSORS,2017
4. Mapping and Monitoring Forest Plantations in São Paulo State, Southeast Brazil, Using Fraction Images Derived from Multiannual Landsat Sensor Images
5. Building a Better Urban Picture: Combining Day and Night Remote Sensing Imagery
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