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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Research@WUR
Dataset . 2020
Data sources: Research@WUR
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30 Years of Land Cover and Fraction Cover Changes over the Sudano-Sahel using Landsat Timeseries

Authors: Souverijns, Niels; Buchhorn, Marcel; Horion, Stéphanie; Fensholt, Rasmus; Verbeeck, Hans; Verbesselt, Jan; Herold, Martin; +4 Authors

30 Years of Land Cover and Fraction Cover Changes over the Sudano-Sahel using Landsat Timeseries

Abstract

30m resolution historically consistent land cover and cover fraction maps over the Sudano-Sahel for the period 1986-2015. These land cover / cover fraction maps are achieved based on the Landsat archive preprocessed on Google Earth Engine and a random forest classification / regression model, while historical consistency is achieved using the Hidden Markov Model. Validated land cover / cover fraction maps covering the full Sudano-Sahel are provided for 2015 (2015_Sahel.zip), while historical maps are available for four focus areas. The extent of the areas are displayed in 11_study_area.jpeg Each of the zip files contains 14 GeoTIFF files for the respective period and area: Landsat_LC30_epochYYYY_AREA_bare-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_crops-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_DataDensityIndicator.tif [# overpasses that are used as input for the creation of the maps for this region / epoch] Landsat_LC30_epochYYYY_AREA_discrete-classification-HMM.tif [temporally cleaned discrete classification map using the Hidden Markov Model; legend see below] Landsat_LC30_epochYYYY_AREA_discrete-classification.tif [original discrete classification map; legend see below] Landsat_LC30_epochYYYY_AREA_forest-type-layer.tif [legend see below] Landsat_LC30_epochYYYY_AREA_grass-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_moss-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_shrub-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_snow-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_tree-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_urban-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_water-permanent-coverfraction-layer.tif [0-100%] Landsat_LC30_epochYYYY_AREA_water-seasonal-coverfraction-layer.tif [0-100%] Discrete classification legend: 0: Unknown. No or not enough satellite data available. 20: Shrubs. Woody perennial plants with persistent and woody stems and without any defined main stem being less than 5 m tall. The shrub foliage can be either evergreen or deciduous. 30: Herbaceous vegetation. Plants without persistent stem or shoots above ground and lacking definite firm structure. Tree and shrub cover is less than 10 %. 40: Cultivated and managed vegetation / agriculture. Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type. 50: Urban / built up. Land covered by buildings and other man-made structures. 60: Bare / sparse vegetation. Lands with exposed soil, sand, or rocks and never has more than 10 % vegetated cover during any time of the year. 70: Snow and ice. Lands under snow or ice cover throughout the year. 80: Permanent water bodies. Lakes, reservoirs, and rivers. Can be either fresh or salt-water bodies. 90: Herbaceous wetland. Lands with a permanent mixture of water and herbaceous or woody vegetation. The vegetation can be present in either salt, brackish, or fresh water. 100: Moss and lichen. 111: Closed forest, evergreen needle leaf. Tree canopy >70 %, almost all needle leaf trees remain green all year. Canopy is never without green foliage. 112: Closed forest, evergreen broad leaf. Tree canopy >70 %, almost all broadleaf trees remain green year round. Canopy is never without green foliage. 113: Closed forest, deciduous needle leaf. Tree canopy >70 %, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods. 114: Closed forest, deciduous broad leaf. Tree canopy >70 %, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods. 115: Closed forest, mixed. 116: Closed forest, not matching any of the other definitions. 121: Open forest, evergreen needle leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, almost all needle leaf trees remain green all year. Canopy is never without green foliage. 122:Open forest, evergreen broad leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, almost all broadleaf trees remain green year round. Canopy is never without green foliage. 123: Open forest, deciduous needle leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, consists of seasonal needle leaf tree communities with an annual cycle of leaf-on and leaf-off periods. 124: Open forest, deciduous broad leaf. Top layer- trees 15-70 % and second layer- mixed of shrubs and grassland, consists of seasonal broadleaf tree communities with an annual cycle of leaf-on and leaf-off periods. 125: Open forest, mixed. 126: Open forest, not matching any of the other definitions. 200: Oceans, seas. Can be either fresh or salt-water bodies. Forest type legend: 0: Unknown 1: Evergreen needle leaf 2: Evergreen broad leaf 3: Deciduous needle leaf 4: Deciduous broad leaf 5: Mix of forest types More detail on the classification algorithm and the resulting maps can be found in the accompanying paper: Souverijns, N.; Buchhorn, M.; Horion, S.; Fensholt, R.; Verbeeck, H.; Verbesselt, J.; Herold, M.; Tsendbazar, N.-E.; Bernardino, P.N.; Somers, B.; Van De Kerchove, R. Thirty Years of Land Cover and Fraction Cover Changes over the Sudano-Sahel Using Landsat Time Series. Remote Sens. 2020, 12, 3817. https://doi.org/10.3390/rs12223817 Please note that a quality layer is available for each of the historical areas / periods (Landsat_LC30_epochYYYY_AREA_DataDensityIndicator.tif). In case a value of 4 or lower is achieved here, the discrete land cover classification / cover fraction for this period / area is highly uncertain. Take this into account when analysing the maps. Furthermore, take note that there is a large difference between the temporally cleaned (Landsat_LC30_epochYYYY_AREA_discrete-classification-HMM.tif) and original discrete land cover classification (Landsat_LC30_epochYYYY_AREA_discrete-classification.tif). We recommend to use the temporally cleaned version in combination with the quality layer.

Country
Netherlands
Keywords

Life Science

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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