Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques

Research article (Engineering Research Express, 2023) · cited 25× · AI/ML
Press Enter · cited answer in seconds

Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques

Summary

Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques is a scholarly article[1].

Key Facts

  • Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluation-of-different-machine-learning-algorithms-for-lulc-classification-in-heterogeneous-landscape-by-using-remote-s
MLA “Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluation-of-different-machine-learning-algorithms-for-lulc-classification-in-heterogeneous-landscape-by-using-remote-s.
BibTeX @misc{4ortxyz_evaluation-of-different-machine-learning-algorithms-for-lulc-classification-in-heterogeneous-landscape-by-using-remote-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques}}, year = {2026}, url = {https://4ort.xyz/entity/evaluation-of-different-machine-learning-algorithms-for-lulc-classification-in-heterogeneous-landscape-by-using-remote-s}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluation of different machine learning algorithms for LULC classification in heterogeneous landscape by using remote sensing and GIS techniques — https://4ort.xyz/entity/evaluation-of-different-machine-learning-algorithms-for-lulc-classification-in-heterogeneous-landscape-by-using-remote-s (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/evaluation-of-different-machine-learning-algorithms-for-lulc-classification-in-heterogeneous-landscape-by-using-remote-s · Last refreshed: