Assessment of Carbon Dynamics Using Remote Sensing, Machine Learning, and Cellular Automata in a Semi-Arid Region.
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| Title: | Assessment of Carbon Dynamics Using Remote Sensing, Machine Learning, and Cellular Automata in a Semi-Arid Region. |
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| Authors: | Barrile, Vincenzo1, vincenzo.barrile@unirc.it, Genovese, Emanuela1,2, Maesano, Clemente2,3, Borrello, Davide3,4, Ben Brahim, Fatma4,5 |
| Source: | Applied Sciences (2076-3417); May2026, Vol. 16 Issue 10, p4801, 16p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 194142195 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194142195 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16104801 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 4801 Titles: – TitleFull: Assessment of Carbon Dynamics Using Remote Sensing, Machine Learning, and Cellular Automata in a Semi-Arid Region. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Barrile, Vincenzo – PersonEntity: Name: NameFull: Genovese, Emanuela – PersonEntity: Name: NameFull: Maesano, Clemente – PersonEntity: Name: NameFull: Borrello, Davide – PersonEntity: Name: NameFull: Ben Brahim, Fatma IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 10 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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