“Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta
Summary
“Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta is a scholarly article[1].
Key Facts
“Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta'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). “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta. Retrieved May 24, 2026, from https://4ort.xyz/entity/ghost-cities-identification-using-multi-source-remote-sensing-datasets-a-case-study-in-yangtze-river-delta
MLA““Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ghost-cities-identification-using-multi-source-remote-sensing-datasets-a-case-study-in-yangtze-river-delta.
BibTeX@misc{4ortxyz_ghost-cities-identification-using-multi-source-remote-sensing-datasets-a-case-study-in-yangtze-river-delta_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{“Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta}}, year = {2026}, url = {https://4ort.xyz/entity/ghost-cities-identification-using-multi-source-remote-sensing-datasets-a-case-study-in-yangtze-river-delta}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta — https://4ort.xyz/entity/ghost-cities-identification-using-multi-source-remote-sensing-datasets-a-case-study-in-yangtze-river-delta (retrieved 2026-05-24)
