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News - Success Stories
How scientists are unlocking the potential of SAOCOM
A team of scientists has drawn on SAOCOM data to measure the heights of forests in Argentina, marking the first time that tree canopies have been mapped using the two-satellite constellation.
News - Infographics
Showcasing the NovaSAR-1 radar satellite
Learn about the NovaSAR-1 mission in our new infographic.
News - Announcement of Opportunity updates
ESA encourages S-band applications with NovaSAR-1 Announcement of Opportunity
ESA is offering possibilities to develop new applications in the S-band microwave frequency range, with a new Announcement of Opportunity for NovaSAR-1 data, via ESA’s Third Party Mission programme.
Mission - Third Party Missions
NovaSAR-1
Launched on 16 September 2018, NovaSAR-1 features an S-band synthetic aperture radar (SAR) instrument offering a variety of modes with different resolutions and swath widths.
Data - Announcement of Opportunity (Restrained)
Announcement of Opportunity for NovaSAR-1
ESA is launching an Announcement of Opportunity for the international scientific community to access data from the NovaSAR-1 mission for science and EO-based applications development.
News - Thematic area articles
Tracking the world’s forests from space
As human activities continue to threaten the planet’s forests, data delivered by satellites are boosting global efforts to conserve these crucial natural resources.
News - Spotlight on EO community
An overview of the Biomass mission
In this video, Klaus Scipal - Biomass and SMOS Mission Manager - talks about ESA's upcoming Biomass mission.
News - Data Release news
New BorealScat campaign dataset released
A new dataset has been released for the BorealScat campaign, which took place between 2017 and 2021 in Sweden.
News - Success Stories
Drones join the campaign to validate Aeolus data
In June and September 2022, the Askos component of the Joint Aeolus Tropical Atlantic Campaign (JATAC), organised by ESA and its international partners, was expanded with new ground-based, drone and radiosonde measurements. The main objective of this campaign was to calibrate and validate Aeolus satellite observations.
News - Thematic area articles
Space data help to unravel the complexities of Earth’s atmosphere
As the impacts of the climate crisis intensify, scientists are using ESA’s Earth observation archives to investigate atmospheric processes and their influences on the planet’s changing environment.
News - Events and Proceedings
Exploring the prevailing achievements and future directions of Aeolus
A tight-knit community of European remote sensing experts converged on the Italian island of Sicily last month to discuss how the strong success of ESA’s Aeolus mission is shaping scientists’ understanding of the winds that sweep across the planet.
Tools - Processing
Aeolus VRE
The Aeolus Virtual Research Environment (VRE) is the latest extension to the VirES for Aeolus service, which offers more direct and in-depth data exploitation of the Aeolus mission. The VRE is a cloud service that provides a web-based development environment in the form of a JupyterLab workspace.
News - General News
Launch of Aeolus VRE
The Aeolus Virtual Research Environment (VRE) is a cloud service, which provides users with a web-based development environment in the form of a JupyterLab workspace.
News - Success Stories
How Envisat helped to shape global understanding of Earth’s systems
Twenty years have passed since a ground-breaking European spacecraft designed to deliver unprecedented insight into the planet’s changing environment was lofted into orbit.
News - Success Stories
Dust aerosol campaign validates Aeolus data
Prepared, implemented and executed by a consortium of French universities and research institutions, under the umbrella of the French Space Agency (CNES) and the French National Centre for Scientific Research (CNRS), the Clouds-Atmospheric Dynamics–Dust Interactions in West Africa (CADDIWA) campaign took place on Sal Island in Cape Verde, from 6 to 25 September 2021.
News - Success Stories
ESA's open source computing project for the Biomass mission goes live
The Biomass Product Algorithm Laboratory (BioPAL) is an open-source scientific computing project, which supports the development of ESA’s Biomass mission algorithms coded in Python.
Mission - Third Party Missions
COSMO-SkyMed Second Generation
COSMO-SkyMed Second Generation is at the forefront of radar technology, will ensure improvements and guarantee continuity with the First Generation CSK satellites, preserving the high quality and the highest precision features, both required for the interferometric activities.
News - Success Stories
Drone-based Laser Scanning of Tropical Forests for Biomass Cal/Val
ESA’s upcoming mission Biomass will deliver valuable P-band SAR data aimed at forest aboveground biomass (AGB) estimation across the humid tropics.
Tools - Other
Forestry TEP
The Forestry Thematic Exploitation Platform (TEP) enables users in the forestry sector to access satellite data based processing services and tools for generating value-added forest information products.
Data - Fast Registration with immediate access (Open)
GOSAT-2 TANSO FTS-2 and CAI-2 full archive and new products
The TANSO-FTS-2 (Thermal And Near infrared Sensor for carbon Observation - Fourier Transform Spectrometer-2) instrument is an high-resolution 5-bands (NIR and TIR) spectrometer which allows the observation of reflective and emissive radiative energy from Earth's surface and the atmosphere for the measurement of atmospheric chemistry and greenhouse gases. The TANSO-CAI-2 (Thermal And Near infrared Sensor for carbon Observation - Cloud and Aerosol Imager-2) instrument is a push-broom radiometer in the spectral ranges of ultraviolet (UV), visible (VIS), Near Infrared (NIR) and SWIR (5 bands observe in the forward direction and 5 in backwards direction, with LOS tilted of 20 degrees) for the observation of aerosols and clouds optical properties and for monitoring of air pollution. The GOSAT-2 available products are: FTS-2 Level 1A products contain interferogram data observed by FTS-2, together with geometric information of observation points and various telemetry. In addition, data from an optical camera (CAM) near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR data contain information from SWIR band; TIR data contain information from TIR band FTS-2 level 1B products contain spectrum data, which are generated by Fourier transformation and other corrections to raw interferogram data in L1A. The sampled CAM data near the observation time are also stored. Two different products for day and night observations. Common data contain common information for SWIR/TIR including CAM data; SWIR products for SWIR spectrum data before and after sensitivity correction; TIR products for TIR spectrum data after sensitivity correction using blackbody and deep space calibration data and after correction of finite field of view FTS-2 NearRealTime products: FTS-2 data are first processed with predicted orbit file and made immediately available: NRT product does not include monitor camera image, best-estimate pointing-location, and target point classification but is available on the ESA server 5 hours after sensing. After a few days (usually 3 days), data is reprocessed with definitive orbit file and sent as consolidated product FTS-2 Level 2 products: Column-averaged Dry-air Mole Fraction" products store column-averaged dry-air mole fraction of atmospheric gases retrieved by using Band 1-3 spectral radiance data in TANSO-FTS-2 L1B; "Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR)" products store solar induced chlorophyll fluorescence data retrieved from Band 1 spectral radiance data in L1B Product as well as column-averaged dry-air mole fraction of atmospheric gases retrieved from Band 2 and 3 spectral radiance data in L1B Product. Both products are obtained by using the fill-physic maximum a posteriori (MAP) method and under the assumption of of clear-sky condition CAI-2 Level 1A products contain uncorrected image data of TANSO-CAI-2, which is stored as digital number together with telemetry of geometric information at observation point, orbit and attitude data, temperature, etc. One scene is defined as a satellite revolution data starting from ascending node to the next ascending node. Common data contain common information for both Forward looking and Backward looking; FWD products contain information for Forward looking bands, from 1 to 5; BWD products contain information for Backward looking bands, from 6 to 10 CAI-2 Level 1B products contain spectral radiance data per pixel converted from TANSO-CAI-2 L1A Products. Band-to-band registration of each forward- and backward- viewing band is applied; ortho-correction is performed to observation location data based on an earth ellipsoid model using digital elevation model data CAI-2 Level 2 products: Cloud Discrimination Products stores clear-sky confidence levels per pixel, which are calculated by combining the results of threshold tests for multiple features such as reflectance ratio and Normalized Difference Vegetation Index (NDVI), obtained from spectral radiance data in GOSAT-2 TANSO-CAI-2 L1B Product. This product also stores cloud status bit data, in which results of individual threshold tests and quality flags are summarized. The full ESA archive and newly acquired/systematically processed GOSAT2 FTS-2 and CAI-2 products are (ESA collection name versus JAXA product name): FTS-2 L1A Common day (FTS-2_1A_COMMON_DAY) FTS-2 L1A Common night (FTS-2_1A_COMMON_NIGHT) FTS-2 L1A SWIR day (FTS-2_1A_SWIR_DAY) FTS-2 L1A TIR day (FTS-2_1A_TIR_DAY) FTS-2 L1A TIR night (FTS-2_1A_TIR_NIGHT) FTS-2 L1B Common day (FTS-2_1B_COMMON_DAY) FTS-2 L1B Common night (FTS-2_1B_COMMON_NIGHT) FTS-2 L1B SWIR day (FTS-2_1B_SWIR_DAY) FTS-2 L1B TIR day (FTS-2_1B_TIR_DAY) FTS-2 L1B TIR night (FTS-2_1B_TIR_NIGHT) FTS-2 L2 Column-averaged Dry-air Mole Fraction (FTS-2_0) FTS-2 L2 Chlorophyll Fluorescence and Proxy Method (FTS-2_02_SWPR) CAI-2 L1A Common (CAI-2_1A_COMMON) CAI-2 L1A Forward viewing (CAI-2_1A_FWD) CAI-2 L1A Backward viewing (CAI-2_1A_BWD) CAI-2 L1B (CAI-2_1B).