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.

Document - Proceedings

Topographic mapping from small satellites- a case study of CHRIS-PROBA data

This paper presents a study on the use of various empirical models for satellite orientation and terrain modelling using multidirectional CHRIS data, and evaluates the potential of small satellites with multidirectional viewing capabilities for topographic mapping.

Document - User Guide

Third Party Missions, Cat-1 Data Availability

This brochure gives a quick overview on the availability of the Third Party Missions IRS-P3, JERS-1, NIMBUS, Proba, Landsat, KOMPSAT-1, SCISAT-1, Terra/Aqua, NOAA, QSCAT, OrbView, SPOT-1,-2,-3,-4, ALOS.

Document - General Reference

The Earth Observation Handbook, 2010 Update - Key Tables

This is the 2010 update of the CEOS Earth Observation Handbook. You can browse the live database at http://database.eohandbook.com/ or download the printable PDF of key tables based on the 2010 database contents for a handy reference.

Campaign

SPARC

ESA's SPectra bARrax Campaign (SPARC) activity was part of the preparatory study for a proposed ESA Earth Explorer mission called SPECTRA. The objective was to collect a CHRIS/PROBA reference dataset for SPECTRA-related studies.

News - Thematic area articles

Space helps monitor Earth’s changing biosphere

Earth’s biosphere is continually changing. Through its pioneering Earth observation missions, ESA is making critical contributions to monitor these changes and their impacts on Earth’s water and carbon cycles.

Activity - Quality

SLAP

The SLAP (Systematic Landsat Archive Processing) project covers the MSS, TM and ETM+ products from Landsat missions 1 – 7, and is the first systematic reprocessing of the ESA Landsat archive.

Document - Product Readme Note

Retrieving-Canopy-Structure-from-Hyperspectral-Multi-Angular-Satellite-Data.pdf

This article was presented at the 5th EARSeL SIG IS workshop Imaging Spectroscopy : Innovation in Environmental Research held on 23-25 April 2007 in Bruges, Belgium, ed. By I. Reusen and J. Cools. EARSEL, 2007. 7 p.

News - Infographics

PROBA-1 - From technology demonstration to long-term Earth observation

Learn about ESA's PROBA-1 (Project for On-Board Autonomy) mission in our new infographic.

Mission - Third Party Missions

PROBA-1

PROBA-1 is a technology demonstration satellite that later became an operational Earth observation mission.

Document - General Reference

Overview of an Intelligent Sensorweb for Integrated Earth Sensing Project

Document - General Reference

On-the-Potential-of-CHRIS-PROBA-for-Estimating-Vegetation-Canopy-Properties-from-Space.pdf

On the Potential of CHRIS/PROBA for Estimating Vegetation Canopy Properties from Space.

Document - Technical Note

Note on CHRIS Acquisition Procedure and Image Geometry

The aim of this document is to clarify the acquisition procedure CHRIS on-board the PROBA satellite. It provides a detailed description of the acquisition procedure and summarises the implications for the geometrical properties of the CHRIS images.

News - Data Release news

New reprocessed Landsat data on a new dissemination server

The full ESA Landsat archive has been reprocessed with the latest version of the processor to provide a homogenous dataset covering MSS, TM and ETM+ data.

News - Success Stories

New life for Landsat historical data

45 years of data, more than 1.8 million images, these are the numbers of an adventure started 48 years ago with the launch of the first Landsat satellite.

News - Success Stories

New cross-calibration readies PROBA-1 data for climate research

While PROBA-1 has already exceeded expectations by suppling over 21 years of Earth observation hyperspectral data, recent cross-calibration activities are aiming to ensure the data will robustly serve long time-series research, even when the satellite ends operations.

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.

Mission - Heritage Missions

Landsat-4 and Landsat-5

The Landsat-4 and Landsat-5 missions continued the Landsat programme's goal of providing moderate-resolution optical remote sensing for land, coastal areas and shallow waters.

Mission - Heritage Missions

Landsat Series

The Landsat Series is the world's longest running system of satellites for moderate-resolution optical remote sensing for land, coastal areas and shallow waters.

Data - Data Description

Landsat MSS ESA Archive

This dataset contains all the Landsat 1 to Landsat 5 Multi Spectral Scanner (MSS) high-quality ortho-rectified Level 1 GEO and GTC dataset acquired by ESA over the Fucino, Kiruna (active from April to September only) and Maspalomas (on campaign basis) visibility masks. The acquired Landsat MSS scene covers approximately 183 x 172.8 km. A standard full scene is nominally centred on the intersection between a path and row (the actual image centre can vary by up to 200 m). The altitude changed from 917 km to 705 km and therefore two World Reference Systems (WRS) were used. A full image is composed of 3460 pixels x 2880 lines with a pixel size of 60 m. Two different product levels are available: Geometrically and terrain corrected GTC Products (L1T): The most accurate level of processing as they incorporate Ground Control Points (GCPs) and a Digital Elevation Model (DEM) to provide systematic geometric and topographic accuracy; with geodetic accuracy dependent on the number, spatial distribution and accuracy of the GCPs over the scene extent, and the resolution of the DEM used. Geometrically corrected GEO Product (L1G): Normally generated where there is a lack of GCPs, and are derived purely from data collected by the sensor and spacecraft e.g. ephemeris data. Matera density and coverage map Kiruna density and coverage map Maspalomas density and coverage map