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Abstract: The vegetation map distinguishes between five tundra vegetation types, trees, and open water at the forest-tundra transition north of Inuvik, Northwest Territories, Canada. The area is underlain by continuous permafrost. Vegetation types were distinguished based on vegetation height derived from airborne laserscanning, airborne orthophotos and observations from the field site. A detailed description of the data sources and processing steps is included. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 68.740280 * LONGITUDE: -133.493330 * LOCATION: Northwest Territories, Canada * METHOD|DEVICE: Multiple investigations
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Abstract: PET (Physical Equivalent Temperature) heat map valid for 1 July 2015 on 1 meter resolution. This is a hot summer day with a PET exceedance probability of ~1: 5.5 years. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 51.970000 * LONGITUDE: 5.670000 * METHOD|DEVICE: Multiple investigations
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Abstract: We developed a spatial model that combines fine-scale livestock numbers with their associated energy requirements to distribute livestock grazing demand onto a map of energy supply, with the aim of estimating where and to what degree pasture is being utilized. We applied our model to Kazakhstan, which contains large grassland areas that historically have been used for extensive livestock production but for which the current extent, and thus the potential for increasing livestock production, is unknown. We measured the grazing demand of Kazakh livestock in 2015 at 286 Petajoules, which was 25% of the estimated maximum sustainable energy supply that is available to livestock for grazing. The model resulted in a grazed area of 1.22 million km2, or 48% of the area theoretically available for grazing in Kazakhstan, with most utilized land grazed at low intensities (average off-take rate was 13% of total biomass energy production). Under a conservative scenario, our estimations showed a production potential of 0.13 million tons of beef additional to 2015 production (31% increase), and much more with utilization of distant pastures. This model is an important step forward in evaluating pasture use and available land resources, and can be adapted at any spatial scale for any region in the world. Category: geoscientificInformation Source: Supplement to: Hankerson, Brett R; Schierhorn, Florian; Prishchepov, Alexander V; Dong, Changxing; Eisfelder, Christina; Müller, Daniel (in press): Modeling the spatial distribution of grazing intensity in Kazakhstan. PLoS ONE, https://doi.org/10.1371/journal.pone.0210051 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 52.000000 * LONGITUDE: 64.000000 * LOCATION: Kazakhstan
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Abstract: The contribution to sea level rise from Patagonian icefields is one of the largest mass losses outside the large ice sheets of Antarctica and Greenland. However, only a few studies have provided large-scale assessments in a spatially detailed way to address the reaction of individual glaciers in Patagonia and hence to better understand and explain the underlying processes. In this work, we use repeat radar interferometric measurements of the German TerraSAR-X-Add-on for Digital Elevation Measurements (TanDEM-X) satellite constellation between 2011/12 and 2016 together with the digital elevation model from the Shuttle Radar Topography Mission (SRTM) in 2000 in order to derive surface elevation and mass changes of the Southern Patagonia Icefield (SPI). Our results reveal a mass loss rate of −11.84 ± 3.3 Gt- a−1 (corresponding to 0.033 ± 0.009 mm- a−1 sea level rise) for an area of 12573 km2 in the period 2000-2015/16. This equals a specific glacier mass balance of −0.941 ± 0.19 m w.e.- a−1 for the whole SPI. These values are comparable with previous estimates since the 1970s, but a magnitude larger than mass change rates reported since the Little Ice Age. The spatial pattern reveals that not all glaciers respond similarly to changes and that various factors need to be considered in order to explain the observed changes. Our multi-temporal coverage of the southern part of the SPI (south of 50.3° S) shows that the mean elevation change rates do not vary significantly over time below the equilibrium line. However, we see indications for more positive mass balances due to possible precipitation increase in 2014 and 2015. We conclude that bi-static radar interferometry is a suitable tool to accurately measure glacier volume and mass changes in frequently cloudy regions. We recommend regular repeat TanDEM-X acquisitions to be scheduled for the maximum summer melt extent in order to minimize the effects of radar signal penetration and to increase product quality. Category: geoscientificInformation Source: Supplement to: Malz, Philipp; Meier, Wolfgang Jens-Henrik; Casassa, Gino; Jaña, Ricardo; Skvarca, Pedro; Braun, Matthias Holger (2018): Elevation and Mass Changes of the Southern Patagonia Icefield Derived from TanDEM-X and SRTM Data. Remote Sensing, 10(2), 188, https://doi.org/10.3390/rs10020188 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: -49.436400 * LONGITUDE: -73.444700 * LOCATION: Patagonia * METHOD|DEVICE: Ice survey
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Abstract: The pan-European land cover map of 2015 was produced by combining the large European-wide land survey LUCAS (Land Use/Cover Area frame Survey) and Landsat-8 data. We used annual and seasonal spectral-temporal metrics and environmental features to map 12 land cover and land use classes across Europe (artificial land, seasonal cropland, perennial cropland, broadleaved forest, coniferous forest, mixed forest, shrubland, grassland, barren, water, wetland, and permanent snow/ice). The classification was based on Landsat-8 data acquired over three years (2014-2016). Overall map accuracy was 75.1%. The spatial resolution and minimum mapping unit is 30 x 30 m. The map can be downloaded as a single GeoTiff file of 874Mbyte. The produced pan-European land cover map compared favourably to the existing CORINE (Coordination of Information on the Environment) 2012 land cover dataset. The mapped country-wide area proportions strongly correlated with LUCAS-estimated area proportions (r=0.98). Differences between mapped and LUCAS sample-based area estimates were highest for broadleaved forest (map area was 9% higher). Grassland and seasonal cropland areas were 7% higher than the LUCAS estimate, respectively. In comparison, the correlation between LUCAS and CORINE area proportions was weaker (r=0.84) and varied strongly by country. CORINE substantially overestimated seasonal croplands by 63% and underestimated grassland proportions by 37%. Our study shows that combining current state-of-the-art remote sensing methods with the large LUCAS database imporves pan-European land cover mapping. Category: geoscientificInformation Source: Supplement to: Pflugmacher, Dirk; Rabe, Andreas; Peters, Mathias; Hostert, Patrick (2019): Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey. Remote Sensing of Environment, 221, 583-595, https://doi.org/10.1016/j.rse.2018.12.001 Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: 54.000000 * LONGITUDE: 14.800000
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: (PS18/180) * LATITUDE: -69.971633 * LONGITUDE: 6.343250 * DATE/TIME: 1991-02-23T10:40:00 * ELEVATION: -310.9 m * LOCATION: Lazarev Sea * CAMPAIGN: ANT-IX/3 * BASIS: Polarstern * DEVICE: Giant box corer
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: (PS18/169) * LATITUDE: -70.103667 * LONGITUDE: 2.381783 * DATE/TIME: 1991-02-19T17:54:00 * ELEVATION: -162.7 m * LOCATION: Weddell Sea * CAMPAIGN: ANT-IX/3 * BASIS: Polarstern * DEVICE: Giant box corer
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: (PS18/217) * LATITUDE: -69.653083 * LONGITUDE: 0.019950 * DATE/TIME: 1991-03-12T19:32:00 * ELEVATION: -1580.0 m * Penetration: 0.3 m * Recovery: 0.3 m * LOCATION: Lazarev Sea * CAMPAIGN: ANT-IX/3 * BASIS: Polarstern * DEVICE: Giant box corer
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Abstract: The resulting forest plantation species map (raster) for the Southern Highlands area, created using the collected reference data and different remote sensing data sets from 2013-2015 as listed in the abstract of the publication. In the raster, the values are as follows: 1=pine, 2=eucalyptus or wattle, 3= other (0=non-plantation). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE START: -6.700000 * LONGITUDE START: 32.000000 * LATITUDE END: -11.000000 * LONGITUDE END: 37.000000 * LOCATION: Tanzania, United Republic of * DEVICE: Multiple investigations
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: The dataset is a mosaic of several dh/dt GeoTiff datasets for the region '09 Patagonia South' according the nomenclature of regions taken from Nature Climate Change Paper 'Glacier elevation and mass changes over entire South America between 2000 and 2011–15'. The product is derived from differencing of TanDEM-X and SRTM Digital Elevation Models. All TanDEM-X products were processed by the authors (cf. referenced paper for methods description). Coverage: EVENT LABEL: * LATITUDE: -50.000000 * LONGITUDE: -74.000000 * LOCATION: Andes
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