Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin.
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| Title: | Machine learning-based seasonal SMAP soil moisture retrieval integrating MODIS drought indices: A case study of the Wujiang River Basin. |
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| Authors: | Zhao J; College of Big Data and Information Engineering, Guizhou University, Guiyang, Guizhou, China., Lu H; College of Big Data and Information Engineering, Guizhou University, Guiyang, Guizhou, China.; Bijie City Artificial Intelligence Application Innovation Talent Team, Guizhou University of Engineering Science, Bijie, Guizhou, China., Qu P; College of Big Data and Information Engineering, Guizhou University, Guiyang, Guizhou, China., Yuan Y; Bijie City Artificial Intelligence Application Innovation Talent Team, Guizhou University of Engineering Science, Bijie, Guizhou, China. |
| Source: | PloS one [PLoS One] 2026 Jun 22; Vol. 21 (6), pp. e0351643. Date of Electronic Publication: 2026 Jun 22 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0351643 |
