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Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2022) · cited 48× · AI/ML
Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
Summary
Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability is a scholarly article[1].
Key Facts
Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability'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). Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-annual-pm2-5-in-mainland-china-from-2014-to-2020-using-multi-temporal-satellite-product-an-improved-deep-lear
MLA“Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-annual-pm2-5-in-mainland-china-from-2014-to-2020-using-multi-temporal-satellite-product-an-improved-deep-lear.
BibTeX@misc{4ortxyz_predicting-annual-pm2-5-in-mainland-china-from-2014-to-2020-using-multi-temporal-satellite-product-an-improved-deep-lear_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-annual-pm2-5-in-mainland-china-from-2014-to-2020-using-multi-temporal-satellite-product-an-improved-deep-lear}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability — https://4ort.xyz/entity/predicting-annual-pm2-5-in-mainland-china-from-2014-to-2020-using-multi-temporal-satellite-product-an-improved-deep-lear (retrieved 2026-05-24)
