- All Categories (651)
- Data (16)
- News (11)
- Missions (2)
- Events (11)
- Tools (4)
- Activities (4)
- Campaigns (7)
- Documents (596)
Document - Product Document
(A)ATSR 4th Reprocessing Product Format - User Summary.pdf
ATSR Technical Documents
Document - Technical Note
(A)ATSR Expert Support Laboratory FAST Level 1b Product Definition
(A)ATSR Expert Support Laboratory FAST Level 1b Product Definition.pdf
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.
Event - Conference
3rd ERS Symposium
The ESA Directorate for Observation of the Earth and its Environment held the 3rd ERS Symposium, in 1997, where many of the results from the ERS-1 and ERS-2 missions were presented and discussed by the scientific community.
Document - Conference Presentation - Poster
8-Use_SAR_observing_Polar_lows.pdf
Use of SAR in observing Polar lows Birgitte Furevik (Norwegian Meteorological Inst., Norway)
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.