Home ›
Entities
› academia
› Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong
Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong
Research article (International Journal of Remote Sensing, 2018) · cited 190× · AI/ML
Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong
Summary
Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong is a scholarly article[1].
Key Facts
Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong'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-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong. Retrieved May 24, 2026, from https://4ort.xyz/entity/land-cover-mapping-using-random-forest-classification-and-incorporating-ndvi-time-series-and-texture-a-case-study-of-cen
MLA“Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/land-cover-mapping-using-random-forest-classification-and-incorporating-ndvi-time-series-and-texture-a-case-study-of-cen.
BibTeX@misc{4ortxyz_land-cover-mapping-using-random-forest-classification-and-incorporating-ndvi-time-series-and-texture-a-case-study-of-cen_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong}}, year = {2026}, url = {https://4ort.xyz/entity/land-cover-mapping-using-random-forest-classification-and-incorporating-ndvi-time-series-and-texture-a-case-study-of-cen}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong — https://4ort.xyz/entity/land-cover-mapping-using-random-forest-classification-and-incorporating-ndvi-time-series-and-texture-a-case-study-of-cen (retrieved 2026-05-24)
