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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 - Thematic area articles
Space data support Earth’s ecosystems
ESA’s Earth observation (EO) missions are making a critical contribution to monitoring transformations in our planet’s ecosystems, helping track changes in the vegetation, soil, and ocean that affect these systems.
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 - Thematic area articles
Remote sensing data map impacts of natural hazards
As climate change increases the frequency and severity of natural disasters, remote sensing data can warn about extreme events and help tackle emergency situations.
News - Events and Proceedings
Scientists to showcase value of Earth observation data at EGU
Remote sensing scientists are getting ready to present innovative and exciting applications of satellite data at the European Geosciences Union general assembly which will take place from 24 to 28 April in Vienna, Austria.
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
Remote sensing data underpin research on soil
Environmental data disseminated by ESA’s Earth observation programmes provide knowledge about the stresses on Earth’s soils – aiding many applications such as crop management, drought and flood forecasting, and ecosystem protection.
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.
Data - Data Description
Envisat ASAR AP Co- and Cross-polar L0 [ASA_APC/APH/APV_0P]
The ASAR Alternating Polarization Mode Level 0 (Co-polar and Cross-polar H and V) products contain time-ordered Annotated Instrument Source Packets (AISPs) corresponding to one of the three possible polarisation combinations: HH & HV, VV & VH and HH & VV, respectively. The echo samples in the AISPs have been compressed to 4 bits/sample using FBAQ. This is a high-rate, narrow swath mode, so data is only acquired for partial orbit segments. There are two co-registered images per acquisition and may be from one of seven different image swaths. The Level 0 product was produced systematically for all data acquired within this mode. Data Size: 56-100 km across track x 100 km along track. There are three AP Mode Level 0 products: ASA_APH_0P: The Cross-polar H Level 0 product corresponds to the polarisation combination HH/HV. ASA_APV_0P: The Cross-polar V Level 0 product corresponds to the polarisation combination VV/VH. ASA_APC_0P: The Co-polar Level 0 product corresponds to the polarisation combination HH/VV= H and H received/V transmit and V received.
Tools - Other
Hydrology TEP
The Hydrology Thematic Exploitation Platform (TEP) enables access, processing, uploading, visualisation, manipulation and comparison of hydrological data.
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)