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Abstract: Land cover and land cover change maps were created within the European Commission's Copernicus Global Land Monitoring Service's Hot-Spot Monitoring framework program. During the program's first phase, a total of 560,442km2 area in Sub-Saharan Africa was mapped, from which 153,665km^2^ was mapped with 8 land cover classes while 406,776km^2^ was mapped with up to 32 classes based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived. Each map was fully verified and validated by an independent team to achieve Copernicus' strict data quality requirements. Independent validation datasets for each KLCs were also collected and they are presented here. The validation datasets contains 35671 verified points for two dates (LC and LCC). Furthermore, a predefined symbology (QGIS legend file) for the land cover/change and validation datasets based on FAO's Land Cover Classification System is also shared here to ease the visualization of them. Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Z., Brink, A., Lupi, A., Mannone, C., and Jaffrain, G.: Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa, Earth Syst. Sci. Data, XX, XXX–XXX, https://doi.org/10.5194/essd-XX-XXX-2020, 2020. Category: geoscientificInformation Source: Not Available Supplemental Information: There are three datasets shared as a supplement to the “Key Landscapes for Conservation Land Cover and Change Monitoring Thematic and Validation Datasets for Sub-Saharan Africa” publication here. Data format: vector (shapefile, polygon (LC/LCC dataset), point (validation dataset), Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326), Projected coordinate system (validation data): Africa Albers Equal Area Conic (EPSG:102022), Minimum mapping unit: 0.5-5ha. Land cover and land cover change dataset attributes: [mapcode_A] - dichotomous class, [mapcode_B] - modular class, [name_A] - corresponding dichotomous class names (KLCs classified only at the dichotomous level), [name_B] - corresponding modular class name. Validation dataset attributes: [plaus201X] - land cover, [plaus2000X] - land cover change. The naming of all attributes follow the same structure in all shapefiles – see Table 2 Dichotomous and Modular thematic land cover/use classes in the corresponding publication. Coverage: Not Available
Data Types:
  • File Set
Abstract: Raw data including physical oceanography from mooring DS-2-17 recovered during Maria S. Merian cruise MSM76. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 66.121260 * LONGITUDE: -27.280870 * DATE/TIME: 2017-09-19T08:30:00 * ELEVATION: -589.0 m * LOCATION: North Atlantic * CAMPAIGN: 64PE426 * BASIS: Pelagia * METHOD/DEVICE: Mooring EVENT LABEL: (MSM76_51-1, 64PE426_DS-2-17) * LATITUDE: 66.121260 * LONGITUDE: -27.280870 * DATE/TIME START: 2017-09-19T08:30:00 * DATE/TIME END: 2018-08-15T08:40:00 * ELEVATION: -589.0 m * End event: MSM76_51-1 * Start event: 64PE426_DS-2-17 * LOCATION: North Atlantic * CAMPAIGN: MSM76 * BASIS: Maria S. Merian * METHOD/DEVICE: Mooring EVENT LABEL: * LATITUDE: 66.121260 * LONGITUDE: -27.280870 * DATE/TIME: 2018-08-15T08:59:00 * LOCATION: North Atlantic * CAMPAIGN: MSM76 * BASIS: Maria S. Merian * METHOD/DEVICE: Mooring
Data Types:
  • File Set
Abstract: Arctic snowfall climatology produced from the version R05 of the CloudSat 2C-SNOW-PROFILE product is available. It covers the 2007-2010 period over the latitudes from 58.5°N to 82°S. The monthly snowfall rates in this file have been calculated using the observations with: - a snow retrieval status lower than 3 - and a snowfall rate surface confidence > 1 Additionnaly, the monthly surface snowfall rate uncertainties, number of CloudSat orbits as well as number of observations are available. The number of observations over these 4 years is not sufficient to consider snowfall rates monthly (Edel et al. 2020). If one wants to obtain monthly snowfall rates, it is necessary to average multiple years. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 90.000000 * LONGITUDE: 0.000000 * LOCATION: Arctic
Data Types:
  • Software/Code
Abstract: We infer seafloor topography of the inner continental shelf of northeast Greenland from airborne gravity disturbance measured by National Aeronautics and Space Administration's Oceans Melting Greenland (OMG) mission through a nonlinear inversion method called simulated annealing, and results in a model with 1.95~3.9 km resolution and 73.69 m accuracy. The model provides a reliable view of the seafloor near Zachariæ Isstrøm glacier, where bathymetric survey tracks are sparse. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 76.500000 * LONGITUDE: -21.500000 * LOCATION: Greenland
Data Types:
  • Software/Code
  • Dataset
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set
Abstract: Background: Urbanization is an important indicator of economic growth and social change but is associated with environmental degradation, which threatens sustainable growth of African cities. One of the most vulnerable ecosystems in urban areas are wetlands. In Uganda, wetlands cover an area of 11% of the country's land area. Half of the wetland areas in Ugandan cities have been converted to industry and residential areas, and urban agriculture. There is limited information on the extent of wetland conversion or utilization for urban agriculture. The objective of this study was to investigate the extent of wetlands lost in two Ugandan cities, Wakiso and Kampala, in the last 30 years. Secondly, we demonstrate a simple methodology to monitor agriculture on encroached wetlands. Methods: Using a field survey and free remote sensing data from Landsat TM 1986 and Landsat ETM 2016 we classified the rate of wetland loss and encroachment in the last 30 years. Using MODIS NDVI 16-day composites at 500-meter spatial resolution, we generated distinctive crops and crop mixtures in the encroached wetlands for urban agriculture using the ISODATA clustering algorithm. Results: Over a 30-year period, 72,828 ha (73%) of the Wakiso-Kampala wetlands have been lost. Agriculture area on the other hand doubled. Of the new cultivation area, 16,488 ha (23%) were reclaimed from wetlands. All cultivated agriculture in Kampala was in the wetlands while in Wakiso, 73% of crop agriculture was in the wetlands. The major crops grown in these urban wetlands were banana (20%), sugarcane (22%), maize (17%), Eucalyptus trees (12%), sweet potatoes (10%), while ornamental nurseries, pine trees, vegetables and passion fruits were each at 5%. Conclusions: Current wetland exploitation for food security for urban dwellers may be a trade-off between the provision of food in the short-term and the loss of important ecosystems services in the long-term. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 1.067000 * LONGITUDE: 31.883000 * LOCATION: Africa, Uganda * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set
Abstract: Land cover is the physical evidence on the surface of the Earth. As the cause and result of global environmental change, land cover change (LCC) influences the global energy balance and biogeochemical cycles. Continuous and dynamic monitoring of global LC is urgently needed. Effective monitoring and comprehensive analysis of LCC at the global scale are rare. With the latest version of GLASS (The Global Land Surface Satellite) CDRs (Climate Data Records) from 1982 to 2015, we built the first record of 34-year long annual dynamics of global land cover (GLASS-GLC) at 5 km resolution using the Google Earth Engine (GEE) platform. Compared to earlier global LC products, GLASS-GLC is characterized by high consistency, more detailed, and longer temporal coverage. The average overall accuracy for the 34 years each with 7 classes, including cropland, forest, grassland, shrubland, tundra, barren land, and snow/ice, is 82.81 % based on 2431 test sample units. We implemented a systematic uncertainty analysis and carried out a comprehensive spatiotemporal pattern analysis. Significant changes at various scales were found, including barren land loss and cropland gain in the tropics, forest gain in northern hemisphere and grassland loss in Asia, etc. A global quantitative analysis of human factors showed that the average human impact level in areas with significant LCC was about 25.49 %. The anthropogenic influence has a strong correlation with the noticeable vegetation gain, especially for forest. Based on GLASS-GLC, we can conduct long-term LCC analysis, improve our understanding of global environmental change, and mitigate its negative impact. GLASS-GLC will be further applied in Earth system modeling to facilitate research on global carbon and water cycling, vegetation dynamics, and climate change. This GLASS-GLC data set is related to the paper at doi:10.5194/essd-2019-23. It consists of one readme file and 34 GeoTIFF files of annual 5 km global maps from 1982 to 2015 in a WGS 84 projection. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
Data Types:
  • File Set
Abstract: The materials in this archive are organized as follows: 1) "katla" directory contains: - the processed seismograms (local earthquakes removed, decimated to a sampling rate of 10 Hz) in the "seismograms" directory - the correlation envelopes used in the real-data example (tremor at Katla volcano) in the "covariograms" directory - the MATLAB scripts to generate the correlation envelopes from the processed seismograms 2) "synthetic" directory contains: - the MATLAB scripts to generate synthetic data used in the synthetic tests Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 63.633000 * LONGITUDE: -19.050000 * LOCATION: Iceland * METHOD/DEVICE: Multiple investigations
Data Types:
  • File Set