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Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China
Research article (Remote Sensing, 2019) · cited 72× · AI/ML
Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China
Summary
Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China is a scholarly article[1].
Key Facts
Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, 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). Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/early-season-mapping-of-sugarcane-by-applying-machine-learning-algorithms-to-sentinel-1a-2-time-series-data-a-case-study
MLA“Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/early-season-mapping-of-sugarcane-by-applying-machine-learning-algorithms-to-sentinel-1a-2-time-series-data-a-case-study.
BibTeX@misc{4ortxyz_early-season-mapping-of-sugarcane-by-applying-machine-learning-algorithms-to-sentinel-1a-2-time-series-data-a-case-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China}}, year = {2026}, url = {https://4ort.xyz/entity/early-season-mapping-of-sugarcane-by-applying-machine-learning-algorithms-to-sentinel-1a-2-time-series-data-a-case-study}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China — https://4ort.xyz/entity/early-season-mapping-of-sugarcane-by-applying-machine-learning-algorithms-to-sentinel-1a-2-time-series-data-a-case-study (retrieved 2026-05-24)
