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Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China
Research article (Hydrological Processes, 2021) · cited 40× · AI/ML
Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China
Summary
Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China is a scholarly article[1].
Key Facts
Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in 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). Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/improvement-of-multilayer-soil-moisture-prediction-using-support-vector-machines-and-ensemble-kalman-filter-coupled-with
MLA“Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improvement-of-multilayer-soil-moisture-prediction-using-support-vector-machines-and-ensemble-kalman-filter-coupled-with.
BibTeX@misc{4ortxyz_improvement-of-multilayer-soil-moisture-prediction-using-support-vector-machines-and-ensemble-kalman-filter-coupled-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China}}, year = {2026}, url = {https://4ort.xyz/entity/improvement-of-multilayer-soil-moisture-prediction-using-support-vector-machines-and-ensemble-kalman-filter-coupled-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China — https://4ort.xyz/entity/improvement-of-multilayer-soil-moisture-prediction-using-support-vector-machines-and-ensemble-kalman-filter-coupled-with (retrieved 2026-05-24)
