Remote sensing

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  • Collections of Aerial Photographs purchased or obtained by BGS and its precursors as part of its surveying activities. Data covers mainly Great Britain or areas where BGS has worked overseas and dates from the 1940's. The collection is incomplete and there are copyright and other constraints on its use.

  • Index to various collections of Aerial Photographs purchased or obtained by BGS and its precursors as part of its surveying activities. The index was set up in 2000 and mainly covers Great Britain. The level of spatial detail depends on the flight plans provided, but most are referenced at least to OS quarter sheet level.

  • The database contains scanned photographs (at 1016dpi) of the UK and various locations around the world. Some are single band (black&white) others are 3 band colour. The images are stored in various formats on various types of magnetic media: .COT raw scans can only be used on the Intergraph ImageStation; .JPG (Intergraph format); .TIF. Processed scans may also be saved as stereomodels (with project data) and as orthophotographs. Mono coverage for most of the UK and we are constantly acquiring stereo data. Data is updated when unscanned areas are required by projects.

  • The database contains satellite images of the UK purchased by the BGS or on its behalf by NERC. It includes data from the Lansdat, SPOT, Radarsat and ERS satellites. The images are stored in proprietary format on various types of magnetic media. The data are currently stored by path-row scene numbers and as mosaics on tapes, CDs and drives. Entire UK is covered by the dataset, however, there are gaps in coverage from individual sensors. Coverage exists for countries (or parts of countries) where work has been carried out.

  • The Antarctic mass trends have been collated from a combination of different remote sensing datasets. These are trends of yearly elevation changes over Antarctica for the period 2003-2013 due to the different geophysical processes driving changes in Antarctica: ice dynamics, surface mass balance and glacio-isostatic adjustment (GIA). Net trends can be easily calculated by adding together surface and ice dynamics trends. 20 km gridded datasets have been produced for each process, per year (except the GIA solution which is time-invariant). To convert elevation to mass trends, we also provide the density fields for surface (SMB) and GIA processes used in Martin-Espanol et al (2016). These can be directly multiplied by the dh/dt. To convert dh/dt from ice dynamics, simply multiply by the density of ice. Mass smb = dh/dt smb * d surf Mass ice = dh/dt ice * d ice (not provided) Mass gia = dh/dt gia * d rock NERC grant: NE/I027401/1

  • Burnt areas are presented with a daily date of burn at 500m resolution for the circumpolar boreal forest zone. The dataset comprises eleven tiff files, one for each year: 2001 to 2011. The aim of this dataset is the improved understanding of spatio-temporal patterns and dynamics of boreal fire intensity and extent, the driving factors behind these variations, and the consequence for carbon fluxes for the whole boreal area. The source data for the daily burnt area product is the 16-day MODIS Nadir BRDF-Adjusted Reflectance (N-BAR) MCD43A4 product on the standard Sinusoidal projection. The burnt areas are identified by thresholding a differencing method, with the resulting fire-scars dated using MODIS thermal anomalies (MOD14A1). The results are annual TIFF images at 500m resolution with the pixel values being the first day of burn for that year. The product was validated using temporal assemblages of ETM images randomly located throughout the whole Boreal zone and analysed on a date and per pixel basis. The result was a Kappa co-efficient of 0.54. This algorithms used to map the burnt areas were developed by members of the CEH Wallingford Earth Observation group. Full details about this dataset can be found at