Tools - Catalogues

FedEO

FedEO is a data catalogue that provides a unique entry point to a number of scientific catalogues and services for, but not limited to, European and Canadian missions.

Tools - Catalogues

EO CAT

EO CAT is a data catalogue, offering a Next Generation Earth Observation system designed to manage end-user Earth Observation services.

Document - Proceedings

EO-Summer-School-2-Overview-of-land-surface-parameters-from-EO.pdf

Overview of land surface parameters from Earth Observation

Activity - General activities

MUltisource data package tools and SErvices (MUSE)

The MUSE project aims to develop and integrate a tool to simultaneously manipulate geospatial data products, satellite, model and in-situ data.

Event - Workshop

ESA/MERIS Workshop 2008

The ESA/MERIS Workshop 2008 covered the use of Envisat/MERIS data and the wider ESA-NASA-NOAA plans and collaboration.

Tools - Visualisation

EVDC Orbit Prediction Tool

The EVDC Orbit Prediction and Overpass Tool generates and visualises satellite's overpasses.

Data - EO Sign In Authentication (Open)

JERS-1 OPS (Optical Sensor) Very Near Infrared Radiometer (VNIR) System Corrected Products level 1

The JERS-1 Optical System (OPS) is composed of a Very Near Infrared Radiometer (VNIR) and a Short Wave Infrared Radiometer (SWIR). The instrument has 8 observable spectral bands from visible to short wave infrared. Data acquired by ESA ground stations The JERS-1 OPS products are available in GeoTIFF format. These products are available only for the VNIR sensor. All four bands are corrected. The correction consists in a vertical and horizontal destriping, the radiometry values are expanded from the range [0.63] to the range [0.255]. No geometrical correction is applied on level 1. The pixel size of approximately 18 x 24.2 metres for raw data is newly dimensioned to 18 x 18 metres for System Corrected data using a cubic convolution algorithm. Disclaimer: Cloud coverage for JERS OPS products has not been computed using an algorithm. The cloud cover assignment was performed manually by operators at the acquisition stations. Due to missing attitude information, the Nadir looking band (band 3) and the corresponding forward looking band (band 4) are not well coregistered, resulting in some accuracy limitations. The quality control was not performed systematically for each frame. A subset of the entire JERS Optical dataset was selected and manually checked. As a result of this, users may occasionally encounter issues with some of the individual products. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.

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.

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.

Tools - Analysis

Sentinel-1 Toolbox

The Toolbox consists of: processing tools, data product readers and writers and a display and analysis application to support the archive of SAR data from ESA and 3rd party missions.

Data - Campaigns (Open)

THERMOPOLIS

The THERMOPOLIS 2009 campaign mainly served the DUE “Urban Heat islands (UHI) and Urban Thermography (UT) Project”

Campaign

THERMOPOLIS

The THERMOPOLIS 2009 campaign mainly served the DUE “Urban Heat islands (UHI) and Urban Thermography (UT) Project”

Activity - Quality

SnowPEx

SnowPEx is an intercomparison and validation exercise

Document - Algorithms Theoretical Baseline Document

cawa-requirements-baseline.pdf

CAWA (Advanced Clouds, Aerosols and WAter vapour products for Sentinel-3/OLCI) requirements baseline document provides information about the physical background, technical structure and the functional principle of the CAWA total column water vapour retrieval as defined within the CAWA project, which aims to the development and improvement of advanced atmospheric retrieval algorithms for the Envisat/MERIS and Sentinel-3/OLCI mission.

Activity - Quality

SEOM CAWA

The Advanced Clouds, Aerosols and WAter vapour products for Sentinel-3/OLCI project aims to develop and improve the advanced atmospheric retrieval algorithms developed for MERIS and OLCI instruments.

Document - Product Cal/Val Plan/Report

JERS-1- Validation of optical sensor products

Tools - Processing

PolSARpro

PolSARpro is a toolbox for the scientific exploitation of polarimetric SAR data and a tool for high-level education in radar polarimetry.

Mission - Heritage Missions

JERS-1

The overall objectives of JERS-1 (Japanese Earth Resources Satellite) were the generation of global data sets with SAR and OPS sensors aimed at surveying resources, establishing an integrated Earth observation system

Event - Workshop

CEOS-IVOS Workshop on Inter-comparison of Large Scale Optical and Infrared Sensors

The 2004 workshop was an opportunity to present and exchange experiences and knowledge from work on inter-comparing large scale optical sensors at different product levels.