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- News (22)
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- Tools (8)
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- Campaigns (2)
- Documents (238)
News - How to guides
HEDAVI Discover: a step-by-step guide
The Heritage Data Visualisation tool (HEDAVI) is a platform developed by the French Science Consulting for Earth Observation group, VisioTerra, which allows users to freely access over 40 years of ESA Earth Observation Heritage data, Third Party Missions and some Copernicus data.
News - Maintenance News
ESA EO Dissemination Services - Maintenance on 25 and 26 March 2024
Scheduled software maintenance on ESA EO Dissemination Services on 25 and 26 March 2024
News - Thematic area articles
Space data support Earth’s ecosystems
ESA’s Earth observation (EO) missions are making a critical contribution to monitoring transformations in our planet’s ecosystems, helping track changes in the vegetation, soil, and ocean that affect these systems.
News - Infographics
Learn more about Envisat MERIS Full Resolution Level-1 data
Learn more about the Envisat MERIS Level 1 products in our latest infographic.
Document - Product Document
Envisat-MERIS-Level-1-Data-Infographic
Envisat MERIS Level 1 Data Infographic.
News - Success Stories
Discover Earth like never before: the HEDAVI tool
The Heritage Data Visualisation tool, or HEDAVI, enables the analysis of global spatio-temporal dynamics of natural and artificial environments, covering over 40 years of ESA Earth Observation Heritage data, Third Party Missions and some Copernicus data.
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 - Infographics
Focusing on Envisat MERIS Full Resolution Level-2 data
ESA's Envisat mission continued and expanded upon the legacy of its predecessors, the ERS (European Remote Sensing) satellites. Operating between 2002 and 2012, the satellite's 10 instruments acquired a decade of data for many applications.
News - Spotlight on EO community
Meet the Quality Assurance for EO Team
The Quality Assurance For Earth Observation (also known as QA4EO) Service began its operations on 1 November 2019, providing support to the Data Quality and Algorithms Management Office at ESRIN, within the Sensor Performance, Processing and Algorithm section.
News - Thematic area articles
Global understanding of Earth's land surfaces greatly boosted by satellite data
ESA perform land surface monitoring with a range of instruments onboard satellites acquiring optical and radar data. Collections of data from these missions are freely available for research purposes.
News - Success Stories
Long-term satellite data show wind farms can affect local air currents
Decades of satellite data have allowed for the first long-term study of the impact of offshore wind farms on downstream wind flow in coastal areas.
Data - EO Sign In Authentication (Open)
ICEYE ESA archive
The ICEYE ESA archive collection consists of ICEYE Level 1 products requested by ESA supported projects over their areas of interest around the world. The dataset regularly grows as ESA collects new products over the years. Three different modes are available: Spot: With a slant resolution of 50 cm in range by 25 cm in azimuth that translated into the ground generates a ground resolution of 1 m over an area of 5 km x 5 km. Due to multi-looking, speckle noise is significantly reduced Strip: The ground swath is 30 x 50 km2 and the ground range resolution is 3 m Scan: A large area (100 km x 100 km is acquired with ground resolution of 15 m). Two different processing levels: Single Look Complex (SLC): Level 1A geo-referenced product and stored in the satellite's native image acquisition geometry (the slant imaging plane) Ground Range Detected (GRD): Level 1B product; detected, multi-looked and projected to ground range using an Earth ellipsoid model; the image coordinates are oriented along the flight direction and along the ground range; no image rotation to a map coordinate system is performed, interpolation artefacts not introduced. The following table defines the offered product types: EO-SIP Product Type Mode Processing level XN_SM__SLC Strip Single Look Complex (SLC) - Level 1A XN_SM__GRD Strip Ground Range Detected (GRD) - Level 1B XN_SL__SLC Spot Single Look Complex (SLC) - Level 1A XN_SL__GRD Spot Ground Range Detected (GRD) - Level 1B XN_SR__GRD Scan Ground Range Detected (GRD) - Level 1B As per ESA policy, very high-resolution data over conflict areas cannot be provided.
Event - Conference
Dragon 3 2014 Symposium
The Dragon 3 2014 Symposium was part of the Dragon 3 Programme, focussed on exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for geo-science and applications development in land, ocean and atmospheric applications.
Event - Conference
Dragon 3 2016 Symposium
The Dragon 3 2016 Symposium served as the close of the Dragon 3 Cooperation Programme (2012 to 2016) and formal kick off for Dragon 4 Cooperation projects.
Activity - Projects
Dragon 3 Cooperation Programme
The Dragon 3 Programme focussed on the exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for geo-science and applications development in land, ocean and atmospheric applications.
Event - Training
EO Summer School 5
ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.
Document - Proceedings
EO-Summer-School-3-Information-Retrieval-By-Implicit-Inversion.pdf
This document explains the fundamentals of remote sensing and direct modelling
Document - Proceedings
EO-Summer-School-3-Fundamentals-of-Remote-Sensing-and-Direct-Modelling.pdf
This presentation from ESA's EO Summer School 3 describes the fundamentals of remote sensing and direct modelling
Document - Proceedings
EO-Summer-School-2-Multi-Sensor-concepts-for-Greenhouse-Gas.pdf
SIBERIA-II Multi-Sensor Concepts for Greenhouse Gas Accounting in Northern Eurasia
Event - Training
EO Summer School 3
ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.