- All Categories (47)
- Data (6)
- News (17)
- Missions (4)
- Events (1)
- Tools (6)
- Activities (2)
- Documents (11)
Event - Meeting
VH-RODA and CEOS SAR workshop
The workshop provided an open forum for the presentation and discussion of current status and future developments related to the calibration and validation of space borne very high-resolution SAR and optical sensors and data products.
Data - Data Description
TropForest - ALOS, GEOSAT-1 & KOMPSAT-2 optical coverages over tropical forests
The objective of the ESA TropForest project was to create a harmonised geo-database of ready-to-use satellite imagery to support 2010 global forest assessment performed by the Joint Research Centre (JRC) of the European Commission and by the Food and Agriculture Organization (FAO). Assessments for year 2010 were essential for building realistic deforestation benchmark rates at global to regional levels. To reach this objective, the project aimed to create a harmonised ortho-rectified/pre-processed imagery geo-database based on satellite data acquisitions (ALOS AVNIR-2, GEOSAT-1 SLIM6, KOMPSAT-2 MSC) performed during year 2009 and 2010, for the Tropical Latin America (excluding Mexico) and for the Tropical South and Southeast Asia (excluding China), resulting in 1971 sites located at 1° x 1° geographical lat/long intersections. The project finally delivered 1866 sites (94.7% of target) due to cloud coverages too high for missing sites. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.
Document - User Guide
TPM-L-OADS-dissemination-service-User-Manual.pdf
This guide describes the Third Party Missions Dissemination System.
News - Infographics
Timeline to over 40 years of historical satellite missions
ESA's Heritage Space Programme preserves historical data from over 40 years of Earth observation missions.
Document - General Reference
Third Party Missions Brochure
This brochure summarises ESA's Third Party Missions programme, providing a timeline and examples of content related to some of the missions.
Document - Technical Note
Technical Note on Quality Assessment for Landsat 1-7
Technical Note on Quality Assessment for Landsat 1-7
Tools - Analysis
SNAP
SNAP is a common architecture for all Sentinel Toolboxes. It is ideal for Earth observation processing and analysis.
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 - Analysis
Sentinel-3 Toolbox
The Toolbox consists of a set of visualisation, analysis and processing tools for the exploitation of OLCI and SLSTR data.
Tools - Analysis
Sentinel-2 Toolbox
The Toolbox consists of a rich set of visualisation, analysis and processing tools for the exploitation of optical high-resolution products including the Sentinel-2 MSI sensor.
News - Data Release news
Sample data products from ESA’s Third Party Missions
Samples of data products from a range of Third Party Missions are now available to download, offering a preview of what these missions provide.
News - Thematic area articles
Remote sensing data map impacts of natural hazards
As climate change increases the frequency and severity of natural disasters, remote sensing data can warn about extreme events and help tackle emergency situations.
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 - Success Stories
New open-source Python library improves rapid mapping services
In emergency services, rapid response is paramount. ICube-SERTIT’s Rapid Mapping Service provides near real-time delivery of geo-information to help emergency services respond quickly to disasters such as flooding, fires and landslides. A new Python open-source library, called EOReader, speeds up this mapping response by enabling the easy opening of imagery from multiple satellite sensors, both optical and synthetic aperture radar (SAR).
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.
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 - Heritage Missions
Landsat-4 and Landsat-5
The Landsat-4 and Landsat-5 missions continued the Landsat programme's goal of providing moderate-resolution optical remote sensing for land, coastal areas and shallow waters.
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 - 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 - Success Stories
How GEOSAT helps to unlock the potential of Earth observation data
High-resolution imagery delivered by a privately-owned system of European satellites is facilitating international efforts to boost prosperity, protect the environment, and tackle urgent global challenges.