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Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations
Research article (Remote Sensing of Environment, 2022) · cited 92× · AI/ML
Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations
Summary
Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations is a scholarly article[1].
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Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations. Retrieved May 24, 2026, from https://4ort.xyz/entity/quasi-global-machine-learning-based-soil-moisture-estimates-at-high-spatio-temporal-scales-using-cygnss-and-smap-observa
MLA“Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quasi-global-machine-learning-based-soil-moisture-estimates-at-high-spatio-temporal-scales-using-cygnss-and-smap-observa.
BibTeX@misc{4ortxyz_quasi-global-machine-learning-based-soil-moisture-estimates-at-high-spatio-temporal-scales-using-cygnss-and-smap-observa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations}}, year = {2026}, url = {https://4ort.xyz/entity/quasi-global-machine-learning-based-soil-moisture-estimates-at-high-spatio-temporal-scales-using-cygnss-and-smap-observa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations — https://4ort.xyz/entity/quasi-global-machine-learning-based-soil-moisture-estimates-at-high-spatio-temporal-scales-using-cygnss-and-smap-observa (retrieved 2026-05-24)
