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High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2021) · cited 33× · AI/ML
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High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China

Summary

High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China is a scholarly article[1].

Key Facts

  • High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-accuracy-continuous-mapping-of-surface-water-dynamics-using-automatic-update-of-training-samples-and-temporal-consi
MLA “High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-accuracy-continuous-mapping-of-surface-water-dynamics-using-automatic-update-of-training-samples-and-temporal-consi.
BibTeX @misc{4ortxyz_high-accuracy-continuous-mapping-of-surface-water-dynamics-using-automatic-update-of-training-samples-and-temporal-consi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China}}, year = {2026}, url = {https://4ort.xyz/entity/high-accuracy-continuous-mapping-of-surface-water-dynamics-using-automatic-update-of-training-samples-and-temporal-consi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China — https://4ort.xyz/entity/high-accuracy-continuous-mapping-of-surface-water-dynamics-using-automatic-update-of-training-samples-and-temporal-consi (retrieved 2026-05-24)

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