- All Categories (1808)
- Data (19)
- News (16)
- Missions (3)
- Events (10)
- Tools (5)
- Activities (5)
- Campaigns (7)
- Documents (1743)
News - Success Stories
10 years of Envisat data help to illuminate ocean processes
A decade after Envisat beamed its final image to the planet, the pioneering ESA mission is continuing to foster improved understanding of Earth’s systems.
Document - General Reference
141022-RMA-03-data-consistency.pdf
ERS-2 ASCAT Data Consistency presentation
Document - General Reference
150604-RMA-01-ERS1-calibration-reprocessing-v2.pdf
ERS1-calibration-reprocessing-v2
Event - Meeting
20th GHRSST Science Team Meeting
The 20th GHRSST International Science Team meeting in 2019 brought together sea surface temperature experts to look at future innovations.
Event - Training
3rd Advanced Training Course on Land Remote Sensing 2011
This 2011 advanced ESA training course focused on land remote sensing theory and applications.
Document - Conference Presentation - Poster
8-Use_SAR_observing_Polar_lows.pdf
Use of SAR in observing Polar lows Birgitte Furevik (Norwegian Meteorological Inst., Norway)
Document - Product Document
Access to Envisat Data
The scope of this document is to focus on the data dissemination methods and the different means offered to Users to access the Envisat data.
Data - External Data (Restrained)
ADAM Surface Reflectance Database v4.0
ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000 nm. The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices. The ADAM climatologies that feed the ADAM calculation tools are: For ocean: Monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). Monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land: Monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. Uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice: Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.
Document - Publication - Paper
Advanced Scatterometer Processing System for ERS data
ASPS System and Product description presented at the ERS-ENVISAT Symposium Salzburg 2004: The Advanced Scatterometer Processing System for ERS Data: Design, Products, and Performances
Event - Training
Advanced Training Course in Land Remote Sensing 2012
The 2012 advanced training course focused on land remote sensing theory and applications.
Event - Training
Advanced Training Course in Ocean Remote Sensing 2011
Within the framework of the Dragon Programme, a joint collaboration between the European Space Agency (ESA) and the Chinese Ministry of Science and Technology (MOST), ESA and NRSCC are providing a series of advanced thematic training courses on remote sensing applications hosted by university and research institutions in P.R. China.
Campaign
AfriScat
AfriScat campaign, a follow on to TropiSCAT campaign, was to acquire long-term P-Band radar data in an African tropical forest.
Data - Campaigns (Open)
AfriScat
AfriScat campaign, a follow on to TropiSCAT campaign, was to acquire long-term P-Band radar data in an African tropical forest.
Campaign
AirScatterGNSS
In this project an Airborne Wind Vector Scatterometer (AWVS) system was designed and built for measurements of sea surface backscattering from an aircraft.
Data - Campaigns (Open)
AirScatterGNSS
In this project an Airborne Wind Vector Scatterometer (AWVS) system was designed and built for measurements of sea surface backscattering from an aircraft.
