Home ›
Entities
› academia
› Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China
Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025) · cited 14× · AI/ML
Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China
Summary
Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China is a scholarly article[1].
Key Facts
Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China'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). Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-performance-of-sdgsat-1-gli-data-in-urban-built-up-area-extraction-from-the-perspective-of-urban-morpholo
MLA“Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-performance-of-sdgsat-1-gli-data-in-urban-built-up-area-extraction-from-the-perspective-of-urban-morpholo.
BibTeX@misc{4ortxyz_evaluating-the-performance-of-sdgsat-1-gli-data-in-urban-built-up-area-extraction-from-the-perspective-of-urban-morpholo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-performance-of-sdgsat-1-gli-data-in-urban-built-up-area-extraction-from-the-perspective-of-urban-morpholo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the Performance of SDGSAT-1 GLI Data in Urban Built-Up Area Extraction From the Perspective of Urban Morphology and City Scale: A Case Study of 15 Cities in China — https://4ort.xyz/entity/evaluating-the-performance-of-sdgsat-1-gli-data-in-urban-built-up-area-extraction-from-the-perspective-of-urban-morpholo (retrieved 2026-05-24)
