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- Campaigns (9)
- Documents (4323)
Document - Product Specifications
wind-scatterometer-processing-requirements-from-sigma-nought-triplets-to-dealiased-wind.pdf
This document defines the ground processing algorithms for the ERS-1 AMI wind mode (Scatterometer) from the sigma nought triplets to the wind speed and direction, including the wind retrieval and the ambiguity removal processing.
Document - General Reference
Wetlands monitoring by ERS SAR data.pdf
The objectives of this study were to assess the suitability of ERS SAR images in monitoring the seasonal changes of the wetland areas which are difficult to monitor on land. Lake Bangweulu in Zambia was selected for the study. An additional objective was to carry out a comparison of the results obtained from both ERS SAR and NOAA AVHRR data.
Document - General Reference
WATS - Water Vapour and Temperature in the Troposphere and Stratosphere.pdf
This report describes the WATS mission, one of the candidate Earth Explorers in the second cycle in 2001.
Document - Technical Note
WALES - Water Vapour Lidar Experiment in Space
This report describes the WALES mission, one of the candidate Earth Explorers in the second cycle in 2001.
Document - Product Cal/Val Plan/Report
Visible Channel Long Term Drift Analysis Using Desert Targets
Visible Channel Long Term Drift Analysis Using Desert Targets. The stability of AATSR visible channel calibrations have been measured using data from stable desert targets. The calibration drift rates obtained from the time-series are less than 3.5% per year and comparable to those measured for ATSR-2. Application of the drift correction to AATSR L1B images is discussed.
News - Events and Proceedings
VHR Data Quality in the limelight
In recent years, the satellite landscape has steadily expanded with a variety of very high resolution (VHR) commercial satellites, also emerging from new space providers. A result of this growth is an increased need to address data quality assurance.
Event - Meeting
VH-RODA and CEOS SAR workshop
The workshop provided an open forum for the presentation and discussion of current status and future developments related to the calibration and validation of space borne very high-resolution SAR and optical sensors and data products.
News - Events and Proceedings
Very High-resolution Radar and Optical Data Assessment 2022 Workshop
The Very High-resolution Radar & Optical Data Assessment (VH-RODA) 2022 Workshop was held at ESA/ESRIN in Frascati (Italy) from 7 November to 10 of November, 2022.
News - Events and Proceedings
Very High Resolution data to take centre stage
In the last few years, European New Space providers have helped strengthen the offering of very high resolution remote sensing data products—a designated workshop this November aims to focus on the latest developments in this arena.
Document - Software Verification Plan/Report
Verification of the BUFR Form of the AATSR Meteo Product
Verification of the BUFR Form of the AATSR Meteo Product. This document describes the verification applied to the AATSR Meteo product (ATS_MET_AX) in its BUFR form
Document - Technical Note
UWA Processing Algorithm Specification
This technical note specifies version 2 of the algorithm to derive SAR wave spectrum products from ERS AMI wave mode data.
Activity - Cal/Val activities
UV nadir viewing galleries
Atmospheric chemistry nadir observation from space now spans nearly forty years. The early UVN (UV nadir missions) mainly focused on measuring ozone.
Document - User Guide
User's Guide to NASDA's SAR products
This document summarises the algorithms to obtain geometric and radiometric information from NASDA's JERS SAR products. It includes a list of the physical information to be derived from the JERS SAR products. Not applicable for JERS SAR data generated by ESA (only for NASDA data).
Document - User Guide
User Guide for JERS-1 SAR data format
This document describes the Computer Compatible Tape (CCT) format and the film format for JERS-1's Synthetic Aperture Radar (SAR) data process in EOC. The EOC's CCT product conforms to the CEOS SAR data products format Standard.
