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ARSF project GB05/02: Air-sea and Sediment processes within the Hilbre Coastal Observatory. PI: Alex Souza. Site: Dee Estuary.
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ARSF project MC04/14: Airborne thermography and spectral sensitivity analysis of the soil and soil-vegetation interface for archaeological prospection. PI: Daniel Donoghue. Sites: Cersosimo, Arpi, Heslerton
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The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.
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The data are projected future still water return levels. The data were produced by the Met Office using projections of future mean sea level change prepared at the Met Office and estimates of present-day still water return levels which were provided by the Environment Agency. The data were produced as a simple indication of the relative sizes and uncertainties in present day extreme water levels and projected future mean sea level change. The data were produced by combining preojections of mean sea level change with best estimates of present day extreme still water levels. The data in marine strand 4.09 cover the period from 2020 to 2100 and are available for 46 UK tide gauge locations.
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ARSF project 04/02: Interpreting the Colour of Estuaries. PI: Dave Bowers. Site: Conwy Estuary.
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ARSF project GB04/03: Influence of habitat structure and composition on energy expenditure and overall reproductive rate of woodland bird species. Led by: Shelly Hinsley. Location: Huntingdon, Cambridgeshire, UK.
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ARSF project 03/16 led by Tavi Murray. Sites: NPI, Gulfaske, Albrecht, Slakbreen, Bakaninbreen, Midrelovenbreen, Austrbrogger, Finsterwalderbreen, Fridtjonbreen, Koristka.
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Level 1 Advanced Land Observing Satellite (ALOS) Phased Array type-L band Synthetic Aperture Radar (PALSAR) data were acquired from ESA by the Landmap project and processed to produce greyscale 8 and 32-bit geotiff imagery for the UK and Republic of Ireland from 2007-2009. The UK data are projected onto the British National Grid whereas the Republic of Ireland data are projected onto the Irish National Grid. PALSAR is an active microwave sensor using L-band (2GHz) frequency and produces various products of different resolutions and performance. PALSAR data can be acquired during day or night, increasing the temporal coverage of data for a particular spatial extent. PALSAR is also unaffected by cloud cover allowing a better coverage of satellite data. PALSAR collects data in 4 different modes. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. When using these data please also add the following copyright statement: © ESA 2004/2005/2006/2007/2008…. Received and Distributed by University of Manchester under licence from the European Space Agency
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ARSF project GB07/06: Level 1 Validation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI). Led by: Dr. Doreen Sandra Boyd, School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD. Location: Dorchester, UK.
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The EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio. These data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme.