earth online
  • All Categories (41)
  • Data (11)
  • News (8)
  • Missions (3)
  • Events (15)
  • Tools (2)
  • Documents (2)
  • News - Events and Proceedings

    prompt photo

    Φ-Week Triumphs

    In its fourth edition, Φ-Week presented the scientific community with amazing opportunities and projects—thus running alongside innovation at 360 degrees.

  • Document - Technical Note

    prompt photo

    Update-on-AATSR-Visible-Channel-Long-Term-Trends.pdf

    This document contains calibration guidance for the AATSR instrument.

  • Event - Workshop

    prompt photo

    Space and the Arctic 2009 Workshop

    Temperatures in the Arctic are rising at an unprecedented rate. This workshop looked at the needs and challenges of working and living in the rapidly changing Arctic and explore how space-based services might help to meet those needs.

  • Tools - Processing

    prompt photo

    SMOS Artificial Scene Library (ASL)

    The ASL function allows users to directly use the L1B product version 7 by mimicking the Gibbs-2 image reconstruction correction algorithm as it is implemented in the level 1 operational processor.

  • Event - Workshop

    prompt photo

    SEASAR 2008

    The "Advances in SAR Oceanography from Envisat and ERS missions" was a thematic workshop on SAR remote sensing techniques for oceanography.

  • News - Thematic area articles

    prompt photo

    Satellite data central to ocean monitoring

    Over 95% of Earth’s water is found in our oceans, and yet sadly, oceans are under stress from climate change and pollution. Monitoring our oceans is vital for Earth’s survival and satellites are the primary means of long-term and independent observation of our vast ocean bodies and their associated coastal zones.

  • News - Success Stories

    prompt photo

    Robust airborne radar instrument aids CryoSat ice data

    During the 12 years that ESA’s ice mission – CryoSat – has been monitoring Earth’s ice masses from space, simultaneous airborne measurements were made by ASIRAS.

  • News - Data Release news

    prompt photo

    PROBA-V ‘Collection 2’ - Reprocessed Dataset available

    The improved PROBA-V data (Collection 2) has been released. Data is available via the PROBA-V MEP and Terrascope platforms so users can freely exploit the data using Virtual machines, Jupyter Notebooks, and the new viewing application.

  • News - Success Stories

    prompt photo

    PROBA-V data improve surface albedo products in Africa

    As ESA’s PROBA-V satellite marks its 10-year launch milestone, data tasked during the mission’s lifetime are still being used to assess changes in land cover.

  • Event - Meeting

    prompt photo

    Proba-V Cloud Detection Round Robin Meeting

    A Round Robin exercise aimed at the inter-comparison of different cloud detection algorithms for Proba-V has been organised by the European Space Agency (ESA) and the Belgian Science Policy Office (BELSPO).

  • Data - External Data (Restrained)

    prompt photo

    PROBA-V 1 km, 333 m, and 100 m products

    The PROBA-V VEGETATION Raw products and Synthesis products provided coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It provided a daily coverage between Latitudes 35°N and 75°N, and between 35°S and 56°S, and a full coverage every two days at the equator. The VEGETATION instrument was pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allowed a continuous series of identical products to be generated, with the goal to map land cover and vegetation growth across the entire planet every two days. Level Synthesis Resolution resolution (m) Reflectance Level-1C n/a TOA Level-2A n/a 100 m TOA 333 m TOA 1 km TOA Level-3 S1 100 m TOA TOC TOC NDVI 333 m TOA TOC 1 km TOA TOC S5 100 m TOA TOC TOC NDVI S10 333 m TOC TOC NDVI 1 km TOC TOC NDVI Raw Products Overview Product Description Level-1C Level-1C segments (P – product): Radiometrically corrected Level-1B data, in raw sensor geometry (unprojected) Contains: - Top Of Atmosphere reflectance in the four spectral bands - Longitude/latitude information for every pixel - Geometric viewing conditions - Information on the status map (indicating missing and interpolated measurements). Format: HDF5 & GeoTiFF Level-2A Level-2A segment: projected Level-1C (P–product) data, radiometrically and geometrically corrected. Contains: - TOA reflectance values in the four spectral bands without atmospheric correction being performed - Information on the status map (containing identification of radiometric quality, snow, ice, shadow, clouds, land/sea for every pixel) - Geometric viewing conditions Plate carrée projection (EPSG:4326) with spatial resolution of 100 m, 333 m and 1 km Format: HDF5 & GeoTiFF Synthesis Products Overview Level-3 S1 = daily, S5 = 5 days, S10 = decade Different spatial resolution: 100 m, 333 m and 1 km Divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file Plate carrée projection (EPSG:4326) Format: HDF5 & GeoTiFF Products Content TOA - Top Of Atmosphere reflectance in the four spectral bands (no atmospheric correction applied) - Normalized Difference Vegetation Index (NDVI) -Information on the composite status map (containing identification of snow, ice, shadow, clouds, land/sea for every pixel) - Geometric viewing conditions & date and time of selected measurement TOC Level-2A segment: projected Level-1C (P–product) data, radiometrically and geometrically corrected. Contains: - Top Of Canopy (ground surface) reflectance in the four spectral bands, the atmospheric correction being performed using the SMAC (Simplified Method for Atmospheric Corrections) algorithm - Normalized Difference Vegetation Index (NDVI) - Information on the composite status map (containing identification of snow, ice, shadow, clouds, land/sea for every pixel) Normalized Difference Vegetation Index (NDVI) from Top Of Canopy product (SMAC algorithm for atmospheric corrections applied) - Geometric viewing conditions & date and time of selected measurement TOC NDVI Normalized Difference Vegetation Index (NDVI) from Top Of Canopy product (SMAC algorithm for atmospheric corrections applied)

  • Mission - Earth Watch

    prompt photo

    PROBA-V

    The PROBA-V mission provides multispectral images to study the evolution of the vegetation cover on a daily and global basis.

  • News - Data Release news

    prompt photo

    New SMOS sea surface wind speed products now available

    The SMOS Wind Data Service provides, in near real time (NRT), surface wind speed over the ocean derived from the brightness temperature measurements of SMOS.

  • News - Data Release news

    prompt photo

    New FLEX-related campaign datasets released

    New datasets have been released for three campaigns, covering activities supporting the upcoming FLEX mission.

  • Mission - Heritage Missions

    prompt photo

    MOS-1/1B

    MOS-1 and 1B, Japan’s first marine observation satellites, were designed to monitor ocean currents, sea surface temperature, atmospheric water vapour, ocean chlorophyll levels, precipitation, and land vegetation.

  • Tools - Other

    prompt photo

    Food Security TEP

    The Food Security Thematic Exploitation Platform (TEP) enables access, processing, uploading, visualisation, manipulation and comparison of data related to food security.

  • Event - Meeting

    prompt photo

    Fluorescence (FLEX) 2019

    The FLEX 2019 meeting consisted of a series of events addressing remote sensing of vegetation fluorescence.

  • Data - Data Description

    prompt photo

    ERS-1/2 ATSR Meteo Product [AT1/AT2_MET_2P]

    The data is a fast delivery Meteo product designed for use by meteorological offices, and contains averaged BT and SST at 10 arc minute resolution. The single MDS comprises the fields of MDS#3 (SST record, 10 arc min cell) of the AST product, with the addition of Average Brightness Temperature (ABT) fields (BT/TOA sea record, 10 arc min cell) to make it more self-contained. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.

  • Data - Fast Registration with approval (Restrained)

    prompt photo

    ERS-1/2 ATSR Gridded Surface Temperature [AT1/AT2_NR__2P]

    The Gridded Surface Temperature (GST) Product is the Level 2 full resolution geophysical product. The product contains gridded sea-surface temperature images using both nadir and dual view retrieval algorithms. The product includes pixel latitude/longitude positions, X/Y offset and the results of the cloud-clearing/land-flagging. It contains a single measurement data set the content of which is switchable, that is to say, the content of each pixel field will depend on the surface type. Specifically, the contents of the data fields will depend on the setting of the forward and nadir cloud flags and the land flag. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.

  • Data - Fast Registration with approval (Restrained)

    prompt photo

    ERS-1/2 ATSR Gridded Brightness Temperature/Reflectance [AT1/AT2_TOA_1P]

    The Gridded Brightness Temperature/Reflectance (GBTR) product contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and reflectance values for the visible channels. Values for each channel and for the nadir and forward views occupy separate measurement data sets. Additional MDS contain cloud and land/sea flags and confidence flags for each image pixel. The 3rd reprocessing of ATSR data was performed in 2013; the processing updates that have been put in place and the scientific improvements are outlined in full in the User Summary Note for the Third ERS ATSR Reprocessing.