- All Categories (32)
- Data (3)
- News (11)
- Missions (3)
- Events (1)
- Tools (3)
- Activities (2)
- Documents (9)
Document - Proceedings
EO-Summer-School-2-Stratospheric-ozone-satellite-observations-DA-and-forecasts.pdf
Stratospheric ozone: satellite observations, data assimilation and forecasts
Document - Product Document
LANDSAT_Products_Description_Document.pdf
This document acts as a User Guide to the Landsat MSS, TM and ETM+ archives, focussing more specifically on the Landsat TM and ETM+ products from the Kiruna, Maspalomas and Matera archives (including from the Matera, Fucino, Neustralitz, O’Higgins, Malindi, Libreville and Bishkek ground stations) that have been generated as part of the ESA archive bulk-reprocessing project.
Mission - Third Party Missions
Aura
NASA's Aura mission studies the chemistry and dynamics of Earth's atmosphere from the ground through the mesosphere.
Activity - Quality
SLAP
The SLAP (Systematic Landsat Archive Processing) project covers the MSS, TM and ETM+ products from Landsat missions 1 – 7, and is the first systematic reprocessing of the ESA Landsat archive.
Tools - Processing
Atmospheric Toolbox
The Atmospheric Toolbox (previously known as BEAT) is a collection of executable tools and API, developed to facilitate the utilisation, viewing and processing of e.g. GOMOS, MIPAS, SCIAMACHY and GOME data.
Activity - Quality
EDAP
The ESA Earthnet Data Assessment Pilot (EDAP) project will perform assessments for various missions to ensure the delivered data is fit for purpose.
Mission - Heritage Missions
Landsat-1 to Landsat-3
The Landsat-1 to 3 satellites were the first in the United States' Landsat programme, dedicated to monitoring the Earth's land mass.
Mission - Heritage Missions
Landsat Series
The Landsat Series is the world's longest running system of satellites for moderate-resolution optical remote sensing for land, coastal areas and shallow waters.
Data - External Data (Restrained)
Aura OMI complete NASA dataset
The OMI observations provide the following capabilities and features: A mapping of ozone columns at 13 km x 24 km and profiles at 13 km x 48 km A measurement of key air quality components: NO2, SO2, BrO, HCHO, and aerosol The ability to distinguish between aerosol types, such as smoke, dust and sulfates The ability to measure aerosol absorption capacity in terms of aerosol absorption optical depth or single scattering albedo A measurement of cloud pressure and coverage A mapping of the global distribution and trends in UV-B radiation. The OMI data are available in the following four levels: Level 0, Level 1B, Level 2, and Level 3. Level 0 products are raw sensor counts. Level 0 data are packaged into two-hour "chunks" of observations in the life of the spacecraft (and the OMI aboard it) irrespective of orbital boundaries. They contain orbital swath data. Level 1B processing takes Level 0 data and calibrates, geo-locates and packages the data into orbits. They contain orbital swath data. Level 2 products contain orbital swath data. Level 3 products contain global data that are composited over time (daily or monthly) or over space for small equal angle (latitude longitude) grids covering the whole globe.
News - Success Stories
New life for Landsat historical data
45 years of data, more than 1.8 million images, these are the numbers of an adventure started 48 years ago with the launch of the first Landsat satellite.
Tools - Visualisation
EVDC Orbit Prediction Tool
The EVDC Orbit Prediction and Overpass Tool generates and visualises satellite's overpasses.
Document - User Guide
TPM-L-OADS-dissemination-service-User-Manual.pdf
This guide describes the Third Party Missions Dissemination System.
News - General News
ESA’s Earth Observation Catalogue and its services
EO-CAT is the EO Catalogue tool allowing users to search ESA and Third Party Mission collections.
News - General News
ESA's new DataCube service is now available
ESA is pleased to announce the deployment of a new service, called ESA PDGS-DataCube, enabling multi-temporal and pixel-based access to a subset of the data available in the European Space Agency dissemination services.
Tools - Analysis
ESA PDGS Jupyter Notebook
A series of Jupyter Notebooks are available, in order to understand how to exploit the API that provides the data access service for different types of datasets included in the ESA PDGS datacube.
Data - Data Description
Landsat MSS ESA Archive
This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified Level 1 GEO and GTC dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200 m). The altitude changed from 917 km to 705 km and therefore two World Reference Systems (WRS) were used. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60 m. Two different product levels are available: Geometrically and terrain corrected GTC Products (L1T): The most accurate level of processing as they incorporate Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy; with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used. Geometrically corrected GEO Product (L1G): Normally generated where there is a lack of GCPs, and are derived purely from data collected by the sensor and spacecraft e.g. ephemeris data. Matera density and coverage map Kiruna density and coverage map Maspalomas density and coverage map
News - Data Release news
New reprocessed Landsat data on a new dissemination server
The full ESA Landsat archive has been reprocessed with the latest version of the processor to provide a homogenous dataset covering MSS, TM and ETM+ data.
News - Infographics
ESA Third Party Missions timeline
We've released a new timeline to illustrate the history of the ESA Third Party Missions.
