Author: Remote Sensing Biodiversity

EO4Alps Summer School 2018

a summer school on the sustainable use of the alpine ecosystems by ZGIS and GEO: EO4Alps Summer School, June 24 – July 6, 2018 “Earth observation and geospatial information: supporting a sustainable use of alpine ecosystems and water resources” The EO4Alps Summer School 2018 is jointly organized by University of Salzburg, Department of Geoinformatics (Z_GIS, and the Group on Earth Observations (GEO, and will be held in Salzburg, Austria, June 24 – July 6, 2018. Alpine areas show high spatial variability due to complex terrains, steep vertical gradients in climate elements, and inhomogeneity induced by transitions between...

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Global Hydrologic Soil Data for Runoff Modeling

A hydrological soil data set for runoff modeling is available online by EartData. From their webpage: “This dataset – HYSOGs250m – represents a globally consistent, gridded dataset of hydrologic soil groups (HSGs) with a geographical resolution of 1/480 decimal degrees, corresponding to a projected resolution of approximately 250-m. These data were developed to support USDA-based curve-number runoff modeling at regional and continental scales. Classification of HSGs was derived from soil texture classes and depth to bedrock provided by the Food and Agriculture Organization soilGrids250m system.” further details and download here: more data for download is available on this...

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man-made impervious surface and settlement layers

The a Data Center in NASA’s Earth Observing System Data and Information System (EOSDIS) hosted by CIESIN at Columbia University provides a great resource for global layers on impervious surface and settlement extent. You can view and download: Impervious Surface Percentage (GMIS) Standard Error of Impervious Surface Percentage Human Built-up and Settlement Extent (HBASE) Probability of HBASE to explore the datasets for your study area go here: in case you like to download the actual data in various formats please login here:...

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special issue: Remote sensing for coastal ecosystem monitoring and management

Special Issues – Call for Content Remote sensing for coastal ecosystem monitoring and management Coastal ecosystems, such as mangroves, salt marshes, corals and seagrasses, provide substantial benefits to humanity, yet are under ever-increasing threat of degradation and disappearance from a combination of land use and climate change (such as sea level rise, drought and storm intensity).  With about 10% of the global human population living in the vulnerable low-elevation coastal zone, mitigation and management of threats to coastal ecosystems is high on the climate change resilience agenda.  Over the past decades, remote sensing techniques have enabled monitoring of coastal...

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open PhD position: animal movement for remote sensing

PhD position animal movement and remote sensing – exploring innovative in-situ data This research project focuses on the analysis of animal movement tracks for deriving new, innovative remote sensing products. Novel methods or a new combination of established methods from movement ecology, remote sensing and machine learning should be combined in order to model relationships between behavior and the environment with the eventual aim of mapping environmental characteristics. Target entities are to be developed, but could encompass mapping land cover, land cover change or validating existing data sets, all based on movement and behavioral patterns. Once established, such information...

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