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Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China
Research article (Remote Sensing, 2023) · cited 20× · AI/ML
Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China
Summary
Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China is a scholarly article[1].
Key Facts
Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China'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). Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China. Retrieved May 24, 2026, from https://4ort.xyz/entity/remote-sensing-of-soil-organic-carbon-at-regional-scale-based-on-deep-learning-a-case-study-of-agro-pastoral-ecotone-in-
MLA“Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/remote-sensing-of-soil-organic-carbon-at-regional-scale-based-on-deep-learning-a-case-study-of-agro-pastoral-ecotone-in-.
BibTeX@misc{4ortxyz_remote-sensing-of-soil-organic-carbon-at-regional-scale-based-on-deep-learning-a-case-study-of-agro-pastoral-ecotone-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China}}, year = {2026}, url = {https://4ort.xyz/entity/remote-sensing-of-soil-organic-carbon-at-regional-scale-based-on-deep-learning-a-case-study-of-agro-pastoral-ecotone-in-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China — https://4ort.xyz/entity/remote-sensing-of-soil-organic-carbon-at-regional-scale-based-on-deep-learning-a-case-study-of-agro-pastoral-ecotone-in- (retrieved 2026-05-24)
