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Document - Newsletter
Earth Online Newsletter - 08 March 2024
This issue of the Earth Online Newsletter covers a selection of the latest news and events from ESA.
News - Success Stories
PROBA-V data improve surface albedo products in Africa
As ESA’s PROBA-V satellite marks its 10-year launch milestone, data tasked during the mission’s lifetime are still being used to assess changes in land cover.
News - Data Release news
PROBA-V ‘Collection 2’ - Reprocessed Dataset available
The improved PROBA-V data (Collection 2) has been released. Data is available via the PROBA-V MEP and Terrascope platforms so users can freely exploit the data using Virtual machines, Jupyter Notebooks, and the new viewing application.
News - Thematic area articles
Monitoring water on Earth's surface
ESA's Earth observation satellites are playing a leading role in furthering our understanding of how Earth's terrestrial hydrosphere is being influenced by humankind.
News - Thematic area articles
Global understanding of Earth's land surfaces greatly boosted by satellite data
ESA perform land surface monitoring with a range of instruments onboard satellites acquiring optical and radar data. Collections of data from these missions are freely available for research purposes.
Event - Training
EO Summer School 6
ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.
Event - Training
EO Summer School 5
ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.
Event - Training
EO Summer School 4
ESA's series of summer schools, on Monitoring of the Earth System, aims to promote the exploitation of Earth observation data.
News - Thematic area articles
Transforming space data into climate action
ESA’s Earth observation activities are playing a key role in the revitalised global drive to combat climate change.
News - Thematic area articles
Satellite data boost global understanding of land surface
Understanding our changing land surface is essential in the study of climate change. Satellites are used to monitor changes to the material that covers Earth’s surface, so-called land cover, such as vegetation and water.
Activity - Projects
Dragon 2 Cooperation Programme
The Dragon 2 Programme focussed on the exploitation of ESA, ESA's Third Party Missions and Chinese Earth observation data for science and applications development in land, ocean and atmospheric applications.
Event - Workshop
Space and the Arctic 2009 Workshop
Temperatures in the Arctic are rising at an unprecedented rate. This workshop looked at the needs and challenges of working and living in the rapidly changing Arctic and explore how space-based services might help to meet those needs.
Tools - Other
Forestry TEP
The Forestry Thematic Exploitation Platform (TEP) enables users in the forestry sector to access satellite data based processing services and tools for generating value-added forest information products.
Event - Training
4th Advanced Training Course in Land Remote Sensing
ESA organised the 4th Advanced Training Course in Land Remote Sensing which took place in Athens, Greece from 1 to 5 July 2013
Data - External Data (Restrained)
PROBA-V 1 km, 333 m, and 100 m products
The PROBA-V VEGETATION Raw products and Synthesis products provided coverage of all significant landmasses worldwide with, in the case of a 10-day synthesis product, a minimum effect of cloud cover, resulting from selection of cloud-free acquisitions during the 10-day period. It provided a daily coverage between Latitudes 35°N and 75°N, and between 35°S and 56°S, and a full coverage every two days at the equator. The VEGETATION instrument was pre-programmed with an indefinite repeated sequence of acquisitions. This nominal acquisition scenario allowed a continuous series of identical products to be generated, with the goal to map land cover and vegetation growth across the entire planet every two days. Level Synthesis Resolution resolution (m) Reflectance Level-1C n/a TOA Level-2A n/a 100 m TOA 333 m TOA 1 km TOA Level-3 S1 100 m TOA TOC TOC NDVI 333 m TOA TOC 1 km TOA TOC S5 100 m TOA TOC TOC NDVI S10 333 m TOC TOC NDVI 1 km TOC TOC NDVI Raw Products Overview Product Description Level-1C Level-1C segments (P – product): Radiometrically corrected Level-1B data, in raw sensor geometry (unprojected) Contains: - Top Of Atmosphere reflectance in the four spectral bands - Longitude/latitude information for every pixel - Geometric viewing conditions - Information on the status map (indicating missing and interpolated measurements). Format: HDF5 & GeoTiFF Level-2A Level-2A segment: projected Level-1C (P–product) data, radiometrically and geometrically corrected. Contains: - TOA reflectance values in the four spectral bands without atmospheric correction being performed - Information on the status map (containing identification of radiometric quality, snow, ice, shadow, clouds, land/sea for every pixel) - Geometric viewing conditions Plate carrée projection (EPSG:4326) with spatial resolution of 100 m, 333 m and 1 km Format: HDF5 & GeoTiFF Synthesis Products Overview Level-3 S1 = daily, S5 = 5 days, S10 = decade Different spatial resolution: 100 m, 333 m and 1 km Divided into so called granules, each measuring 10 degrees x 10 degrees, each granule being delivered as a single file Plate carrée projection (EPSG:4326) Format: HDF5 & GeoTiFF Products Content TOA - Top Of Atmosphere reflectance in the four spectral bands (no atmospheric correction applied) - Normalized Difference Vegetation Index (NDVI) -Information on the composite status map (containing identification of snow, ice, shadow, clouds, land/sea for every pixel) - Geometric viewing conditions & date and time of selected measurement TOC Level-2A segment: projected Level-1C (P–product) data, radiometrically and geometrically corrected. Contains: - Top Of Canopy (ground surface) reflectance in the four spectral bands, the atmospheric correction being performed using the SMAC (Simplified Method for Atmospheric Corrections) algorithm - Normalized Difference Vegetation Index (NDVI) - Information on the composite status map (containing identification of snow, ice, shadow, clouds, land/sea for every pixel) Normalized Difference Vegetation Index (NDVI) from Top Of Canopy product (SMAC algorithm for atmospheric corrections applied) - Geometric viewing conditions & date and time of selected measurement TOC NDVI Normalized Difference Vegetation Index (NDVI) from Top Of Canopy product (SMAC algorithm for atmospheric corrections applied)
Data - Fast Registration with immediate access (Open)
ERS-2 SCATTEROMETER Surface Soil Moisture Time Series and Orbit product in High and Nominal Resolution [SSM.H/N.TS - SSM.H/N]
Surface soil moisture records are derived from the backscatter coefficient measured by the Scatterometer on-board the European Remote Sensing satellite (ERS-2) using the Technische Universität (TU) Wien soil moisture retrieval algorithm called WARP (WAter Retrieval Package). In the WARP algorithm, the relative surface soil moisture estimates, given in degree of saturation Sd, range between 0% and 100% are derived by scaling the normalized backscatter between the lowest/highest backscatter values corresponding to the driest/wettest soil conditions. Surface Soil Moisture - Time Series product: The products generated are the surface soil moisture time series, where for each grid point defined in a DGG (Discrete Global Grid) is stored the time series of soil moisture and its noise, the surface state flag, the geolocation and the satellite parameters. The spatial resolution of the products is about 25 km x 25 km (high resolution) or 50 km x 50 km (nominal resolution) geo-referenced on the WARP grid. The location of the points can be viewed interactively with the tool DGG Point Locator. Surface Soil Moisture - Orbit product: In addition to WARP, a second software package, referred to as WARP orbit, was developed in response to the strong demand of soil moisture estimates in satellite orbit geometry. The Level 2 soil moisture orbit product contains a series of Level 1 data information, such as the backscatter, the incidence angle and the azimuth angle for each triplet together with the surface soil moisture and its noise, normalized backscatter at 40° incidence angle, parameters useful for soil moisture, the geolocation and the satellite parameters. The soil moisture orbit product is available in two spatial resolutions with different spatial sampling distances: Spatial sampling on a regular 12.5 km grid in orbit geometry with a spatial resolution of about 25 km x 25 km (High resolution) Spatial sampling on a regular 25 km grid in orbit geometry with a spatial resolution of about 50 km x 50 km (Nominal resolution). The spatial resolution is defined by the Hamming window function, which is used for re-sample of raw backscatter measurements to the orbit grid in the Level-1 ground processor. Please consult the Product Quality Readme file before using the ERS-2 Surface Soil Moisture data.
Mission - Earth Watch
PROBA-V
The PROBA-V mission provides multispectral images to study the evolution of the vegetation cover on a daily and global basis.
Event - Conference
Living Planet Symposium 2019
ESA's Living Planet Symposia are amongst the biggest Earth observation conferences in the world. Scientists present their latest findings on Earth's environment and climate.
Event - Workshop
2nd Space for Hydrology Workshop
The workshop aimed to assess the current stage of knowledge and activities in space-based hydrological observations and to exchange knowledge and know how with hydrologists and researchers.
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.