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- Campaigns (4)
- Documents (334)
Document - Product Specifications
Envisat-products-specifications-Volume-12-MIPAS-products-specifications.pdf
MIPAS Products Specifications issue 4/C.
Document - Publication - Paper
Proceedings-from-the-Envisat-Validation-Workshop.pdf
Proceedings from the Envisat Validation Workshop.
Document - Publication - Paper
MWR-Functional-and-performance.pdf
Proceedings from the Envisat Validation Workshop.
Document - Software Verification Plan/Report
Decoding-Software-for-ERS-Data-for-FM94-BUFR.pdf
This document describes how to decode ERS Low Bit Rate (LBR) Fast Delivery (FD) products from the World Meteorological Organisation (WMO) standard FM94 BUFR format required for transmission to users via the WMO Global Telecommunications System (GTS).
Document - Product Document
GOSAT-Level-1-Product-Format-Description-Document.pdf
This document describes TANSO-FTS Level 1 products produced with GOSAT data processing system.
Document - Product Document
Leaf-area-index-from-CHRIS-satellite-data-and-applications-in-plant-yield-estimation.pdf
This paper focuses on the optical remote sensing aspects of the ISIES project.
Document - Product Document
Odin-Level-2-Aeronomy-data-products.pdf
This document outlines the format and storage of the various data products from the Level 2 processing software for the Odin mission.
Document - Product Document
ERS-Along-Track-Scanning-Radiometer-ATS-GBT-Product-User-Guide.pdf
This document is a user guide for the ERS-1 and ERS-2 Along Track Scanning Radiometer Gridded Brightness Temperature/Reflectance Product (ATS.GBT) produced by the United Kingdom Processing and Archiving Facility. Also describes CEOS format.
Document - Product Cal/Val Plan/Report
MBASSS-Landsat-8-detailed-project-plan-v1.pdf
MBASSS Landsat 8 Validation Project Detailed Project Planning Document
Document - Product Cal/Val Plan/Report
MBASSS-IDEAS-cal-val-workshop4-2017.ppsx
Mer Bleue Arctic Surrogate Simulation Site (MBASSS) CAL/VAL Workshop presentations
Document - Product Cal/Val Plan/Report
MBASSS-IDEAS-level-1-workshop2-2015.pdf
Mer Bleue Arctic Surrogate Simulation Site (MBASSS) CAL/VAL Workshop presentations
Document - Product Cal/Val Plan/Report
MBASSS-IDEAS-cal-val-workshop3-2016.pptx
Mer Bleue Arctic Surrogate Simulation Site (MBASSS) CAL/VAL Workshop presentations
Document - Product Cal/Val Plan/Report
MBASSS-IDEAS-cal-val-workshop5-2017.ppsx
Mer Bleue Arctic Surrogate Simulation Site (MBASSS) CAL/VAL Workshop presentations
Document - Product Cal/Val Plan/Report
Land-Product-Validation-Evolution-2018-Arroyo_Mora.pdf
Land Product Validation Evolution (LPVE) 2018 workshop presentations
Document - Product Cal/Val Plan/Report
Land-Product-Validation-Evolution-2018-Kalacska.pdf
Land Product Validation Evolution (LPVE) 2018 workshop presentations
Document - Product Cal/Val Plan/Report
smos-instrument-performance-and-calibration-six-years-in-orbit-2016-remote-sensing-of-environment.pdf
This paper describes the latest results of the MIRAS instrument performance and data processing of the SMOS mission.
Document - Product Cal/Val Plan/Report
SMOS-calibration-summary.pdf
This document provides a summary of the calibration activities undertaken for the SMOS MIRAS instrument.
Document - Product Cal/Val Plan/Report
VALID Annual Report 2008
Validation of GOMOS version ozone profiles using ground-based lidar observations
Document - Product Cal/Val Plan/Report
Validation Report following the 3rd MERIS data reprocessing
This document prepared by the MERIS Quality Working Group (QWG) corresponds to the Validation Report following the 3rd MERIS data reprocessing. It aims at qualifying and quantifying the accuracy of the MERIS L2 products generated with the version 8.0 of MERIS Ground Segment prototype (MEGS), delivered to the whole community through the ODESA software (http://earth.eo.esa.int/odesa/). It is equivalent to version 6.0 of the Instrument Processing Facilities (IPF) at ESRIN.
Document - Product Cal/Val Plan/Report
Validation of GOMOS version ozone profiles
Validation of GOMOS version ozone profiles using ground-based lidar observations