Mapping Urban Landscapes in Google Earth Engine

This Google Earth Engine code is part of our research Evaluating machine learning algorithms for classifying urban heterogeneous landscapes using GEE published as a Book Chapter, where we utilized RF, SVM and CART algorithms to classify Landsat Images into six urban land cover features.

Supervisor: Nazmoon Nahar Sumiya, Assistant Professor, Department of Geography and Environment, University of Dhaka, Bangladesh.

Flowchart of the Study

LULC Map for Landsat - 8

Click Here to open the code in Google Earth Engine

Please Cite this Work as:
Chowdhury P., Islam R., Hossain, R. B. and Sumiya, N. N. (2025). Evaluating Machine Learning Algorithms for Classifying Urban Heterogeneous Landscapes Using GEE in Gupta, D. K., Sood, V., Singh, S., Pradhan, B. (eds.) Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Application. Elsevier, pp. 379-397 https://doi.org/10.1016/B978-0-443-27372-8.00023-4