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Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia
Research article (Applied Geomatics, 2018) · cited 12× · AI/ML
Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia
Summary
Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia is a scholarly article[1].
Key Facts
Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia's instance of is recorded as scholarly article[2].
References
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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). Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia. Retrieved May 24, 2026, from https://4ort.xyz/entity/local-scale-accuracy-assessment-of-vegetation-cover-change-maps-derived-from-global-forest-change-data-claslite-and-supe
MLA“Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/local-scale-accuracy-assessment-of-vegetation-cover-change-maps-derived-from-global-forest-change-data-claslite-and-supe.
BibTeX@misc{4ortxyz_local-scale-accuracy-assessment-of-vegetation-cover-change-maps-derived-from-global-forest-change-data-claslite-and-supe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia}}, year = {2026}, url = {https://4ort.xyz/entity/local-scale-accuracy-assessment-of-vegetation-cover-change-maps-derived-from-global-forest-change-data-claslite-and-supe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Local-scale accuracy assessment of vegetation cover change maps derived from Global Forest Change data, ClasLite, and supervised classifications: case study at part of Riau Province, Indonesia — https://4ort.xyz/entity/local-scale-accuracy-assessment-of-vegetation-cover-change-maps-derived-from-global-forest-change-data-claslite-and-supe (retrieved 2026-05-24)