# Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface

> Research article (Remote Sensing, 2024) · cited 135× · AI/ML

**Wikidata**: [openalex:W4391831565](https://www.wikidata.org/wiki/openalex:W4391831565)  
**Source**: https://4ort.xyz/entity/comparison-of-random-forest-and-xgboost-classifiers-using-integrated-optical-and-sar-features-for-mapping-urban-impervio