Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping.
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| Title: | Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping. |
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| Authors: | Herber, Stanislav1 (AUTHOR), Mikita, Tomáš1 (AUTHOR) tomas.mikita@mendelu.cz, Patočka, Zdeněk1 (AUTHOR), Žižlavská, Nikola1 (AUTHOR) |
| Source: | Remote Sensing. Jun2026, Vol. 18 Issue 11, p1851. 31p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194587072 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Herber%2C+Stanislav%22">Herber, Stanislav</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mikita%2C+Tomáš%22">Mikita, Tomáš</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tomas.mikita@mendelu.cz</i><br /><searchLink fieldCode="AR" term="%22Patočka%2C+Zdeněk%22">Patočka, Zdeněk</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Žižlavská%2C+Nikola%22">Žižlavská, Nikola</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Jun2026, Vol. 18 Issue 11, p1851. 31p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194587072 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18111851 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1851 Titles: – TitleFull: Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Herber, Stanislav – PersonEntity: Name: NameFull: Mikita, Tomáš – PersonEntity: Name: NameFull: Patočka, Zdeněk – PersonEntity: Name: NameFull: Žižlavská, Nikola IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 11 Titles: – TitleFull: Remote Sensing Type: main |
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