Data products produced from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra. MISR is a unique instrument that has 9 cameras all pointing towards different directions, taking images in each of blue, green, red and infra-red band spectrum (centre wavelengths are 446, 558, 672 and 867 nm respectively). The information is used to investigate how sunlight scatters in the atmosphere in different natural conditions, and distinguish types of clouds, atmospheric particles and surfaces. The red and infra-red bands are used for vegetated surface identification and marine aerosol studies. The green band is used to study the albedo, while the blue band aids in the determination of particle size of the aerosol. EOS Terra is a satellite in the Earth Observation System, a group of polar-orbiting satellites which are dedicated to study Earth's climate.

Land surface data including bihemispherical and directional-hemispherical reflectances (albedo), hemispherical directional and bidirectional reflectance factors (BRF), BRF model parameters, leaf-area index (LAI), fraction of photosynthetically active radiation (FPAR), and normalized difference vegetation index (NDVI) on a 1.1 km grid, derived from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra.

Aerosol data including aerosol optical depth, aerosol physical model, ancillary meteorological data, and related parameters, obtained from the Multi-angle Imaging SpectroRadiometer (MISR), on-board EOS Terra.

The International Satellite Land Surface Climatology Project (ISLSCP) has the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). The ISLSCP II datasets are compiled in four key areas: land cover, hydrometeorlolgy, radiation and soils. They are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public. ISLSCP is one of several projects of the Global Energy and Water Cycle Experiment (GEWEX), and has the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. ISLSCP was established in 1983 under the United Nation's Environmental Programme to promote the use of satellite data for the global land surface data sets needed for climate studies. In 1994, ISLSCP produced a five-volume CD-ROM collection of global data sets to support energy, water and biogeochemical cycling studies, covering 1987 - 1988 - the ISLSCP I Initiative. The ISLSCP I data sets are available via the BADC ISLSCP I page. The ISLSCP working group meet regularly to assist Goddard Space Flight Center staff to coordinate production and publication of the various data sets in the data collection.

The Landsat 8 mission was a collaboration between the National Aeronautics and Space Administration (NASA) and the United States Geological Survey (USGS) which ensures the continued availability of Landsat data. This dataset collection contains moderate resolution images of the Earth’s surface in the visible to thermal infrared. Landsat 8 carries two science instruments: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). The OLI provides measurements in the visible, near infrared and shortwave infrared including a panchromatic band with 15 m spatial resolution and multispectral bands with 30 m spatial resolution. The TIRS provide a new infrared channel (band 9) for cirrus detection and a new deep blue band (band 1) for coastal monitoring. The TIRS instrument provides measurements at 100 m resolution in two bands in the thermal infrared previously covered by a single wide band. Some data from 2014 is now held by the Centre for Environmental Data Analysis (CEDA).

The International Satellite Cloud Climatology Project (ISCCP) was based at the Goddard Institute for Space Studies in New York. ISCCP was sponsored by the World Climate Research Programme for the purpose of "collecting and analyzing satellite radiance measurements to infer the global distribution of cloud radiative properties and their diurnal and seasonal variations". This dataset collection contains the global three-hourly cloud products (ISCCP-D1), global monthly cloud products (ISCCP-D2), using the revised algorithm, at 280 km spatial resolution and and monthly cloud analysis products (ISCCP-C2) at 250 km spatial resolution. There are more than 200 variables contained within the datasets. Note - that that the temporal range of the datasets presented here are contain data available from the NASA Atmospheric Science Data Center (ASDC) covers the full extent available at the time of the dataset publication in the CEDA archives, begin in July 1983 and extend through to December 1999 (D1), 2006 (D2) and 1990 (C1). Fuller versions of the datasets are available from ASDC directly. These limited copies were obtained to aid researcher access within the UK community at the time.

The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) was a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). The dataset contains: *River Discharge *Precipitation *Global Elevation *Soils *Root storage The data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.

This CD-ROM set contains the Volume 2 Near-surface meteorological analyses data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). This dataset contains data covering Near-surface meteorological analyses and hybrid products

The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) is a follow on project from The International Satellite Land Surface Climatology Project (ISLSCP). ISLSCP II had the lead role in addressing land-atmosphere interactions - process modelling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II dataset contains comprehensive data over the 10 year period from 1986 to 1995, from the International Satellite Land Surface Climatology Project (ISLSCP). This dataset contains: *Sea-Air CO2 Flux and Sea-Air CO2 Partial Pressure *CO2 Consumption by Continental Erosion and Riverine Fluxes of Carbon and Sediments to the Oceans *CO2 Emissions *Energy Flux Measurement *Atmospheric CH4 Data *Atmospheric CO2 Data *Global Net Primary Productivity The data are mapped to consistent grids (0.5 x 0.5 degrees for topography, 1 x 1 degrees for meteorological parameters). Some data have a grid size of 0.25 x 0.25 degrees. The temporal resolution for most data sets is monthly (however a few are at finer resolution - 3 hourly). This dataset is public.

This CD-ROM set contains the Volume 4 Near-surface meteorological analyses data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). This dataset contains data covering Near-surface meteorological analyses and hybrid products