GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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GLC_FCS30: Global land-cover product with fine classification system at 30 m using time-series Landsat imagery ; year:2020 ; pages:1-31
Earth system science data discussions ; (2020), 1-31
- Classification
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Wirtschaft
- Creator
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Zhang, Xiao
Liu, Liangyun
Chen, Xidong
Gao, Yuan
Xie, Shuai
Mi, Jun
- DOI
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10.5194/essd-2020-182
- URN
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urn:nbn:de:101:1-2020100805291865964843
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhang, Xiao
- Liu, Liangyun
- Chen, Xidong
- Gao, Yuan
- Xie, Shuai
- Mi, Jun
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GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery
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GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery
OPERATIONAL APPLICATION OF THE LANDSAT TIMESERIES TO ADDRESS LARGE AREA LANDCOVER UNDERSTANDING
GLC_FCS30D: The first global 30-m land-cover dynamic monitoring product with a fine classification system from 1985 to 2022 using dense time-series Landsat imagery and continuous change-detection method
Pollen-based quantitative land-cover reconstruction for northern Asia covering the last 40 ka cal BP
GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method
A LANDSAT TIME-SERIES STACKS MODEL FOR DETECTION OF CROPLAND CHANGE
GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform
Pollen-based quantitative land-cover reconstruction for northern Asia during the last 40 ka
INTEGRATION OF SENTINEL-2 AND LANDSAT-8 DATA FOR SURFACE REFLECTANCE TIME-SERIES ANALYSIS
GLC Newsletter
CHANGE DETECTION IN LAND-USE AND LAND-COVER DYNAMICS AT A REGIONAL SCALE FROM MODIS TIME-SERIES IMAGERY
An automated classification and change detection system for rapid update of land-cover maps of South Africa using Landsat data.
GLC_FCS30: global land-cover product with fine classification system at 30 m using time-series Landsat imagery
OPERATIONAL APPLICATION OF THE LANDSAT TIMESERIES TO ADDRESS LARGE AREA LANDCOVER UNDERSTANDING
GLC_FCS30D: The first global 30-m land-cover dynamic monitoring product with a fine classification system from 1985 to 2022 using dense time-series Landsat imagery and continuous change-detection method
Pollen-based quantitative land-cover reconstruction for northern Asia covering the last 40 ka cal BP
GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method
A LANDSAT TIME-SERIES STACKS MODEL FOR DETECTION OF CROPLAND CHANGE
GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform
Pollen-based quantitative land-cover reconstruction for northern Asia during the last 40 ka
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GLC Newsletter
CHANGE DETECTION IN LAND-USE AND LAND-COVER DYNAMICS AT A REGIONAL SCALE FROM MODIS TIME-SERIES IMAGERY