Home ›
Entities
› academia
› Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms
Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms
Research article (Global Ecology and Conservation, 2020) · cited 159× · AI/ML
Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms
Summary
Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms is a scholarly article[1].
Key Facts
Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/land-use-cover-classification-in-an-arid-desert-oasis-mosaic-landscape-of-china-using-remote-sensed-imagery-performance-
MLA“Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/land-use-cover-classification-in-an-arid-desert-oasis-mosaic-landscape-of-china-using-remote-sensed-imagery-performance-.
BibTeX@misc{4ortxyz_land-use-cover-classification-in-an-arid-desert-oasis-mosaic-landscape-of-china-using-remote-sensed-imagery-performance-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/land-use-cover-classification-in-an-arid-desert-oasis-mosaic-landscape-of-china-using-remote-sensed-imagery-performance-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms — https://4ort.xyz/entity/land-use-cover-classification-in-an-arid-desert-oasis-mosaic-landscape-of-china-using-remote-sensed-imagery-performance- (retrieved 2026-05-24)
