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Zurich's Urban Evolution: A Satellite Perspective from 1985 to 2004
View the urban transformation of Zurich over 19 years through Landsat 5 satellite images
Fires in Rome, Castel Fusano (Italy), 2000
Explore a Landsat satellite image revealing the extent of burnt areas within the Castel Fusano pine-wood in 2000.
Aktau's Urban Evolution: A Satellite Perspective from 1988 to 2015
Explore the evolution of Aktau, Kazakhstan, through satellite images captured by Landsat 5 and 8.
Adam's Bridge Evolution: A Satellite Perspective from 2006 to 2018
Discover the evolution of Adam's Bridge, the land connection between India and Sri Lanka, through satellite images.
Karachi's Urban Evolution: A Satellite Perspective from 1989 to 2018
Discover the evolution of Karachi over 29 years through satellite images captured by Landsat 5 and 8.
Red Sea: A Satellite Perspective from 1984 to 2004
Explore Landsat 5 imagery showcasing the evolving landscapes along the coasts of Egypt, Sudan and Saudi Arabia by the Red Sea.
Florence's Urban Evolution: A Satellite Perspective from 1987 to 2015
Uncover Florence's evolution from 1987 to 2015 through Landsat 5 and 8 satellite images.
Saint Petersburg 25 Years in Satellite View
Discover the evolution of Saint Petersburg over 25 years through satellite images captured by Landsat 5 and 8.
Cloud-free collections key for land monitoring
Satellite imagery is a crucially important tool for monitoring the land, but cloud cover can often block parts of Earth’s surface from view, limiting subsequent analyses.
Commercial and international data for fire monitoring
As climate change sparks a surge in the frequency and intensity of wildfires, satellite data disseminated through ESA’s Third Party Missions (TPM) programme are helping scientists to track and investigate these potentially damaging natural events.
Landsat 5 TM European and Mediterranean Countries Cloud Free Collection
This dataset contains the cloud-free products from Landsat 5 Thematic Mapper collection acquired over Europe, North Africa and the Middle East; for each scene only one product is selected, with the minimal cloud coverage. The acquired Landsat TM 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 100 m). The data are system corrected.
Full European Landsat data collection now available under the same catalogue
The Full European Landsat data collection, from Landsat-1 to Landsat-8, is now available under the same catalogue
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.
Landsat TM ESA archive
This dataset contains all the Landsat-5 Thematic Mapper high-quality ortho-rectified L1T dataset acquired by ESA over the Fucino, Matera, Kiruna and Maspalomas visibility masks, as well as campaign data over Malindi, Bishkek, Chetumal, and Libreville. The acquired Landsat TM 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 100 m). A full image is composed of 6920 pixels x 5760 lines and each band requires 40 MB of storage space (uncompressed) at 30 m spatial resolution in the VIS, NIR and SWIR as well as 120 m in the TIR spectral range. Kiruna Landsat TM GTC density map Maspalomas Landsat TM GTC density map Matera Landsat TM GTC density map
ERS Heritage Data allow for 30 years of science
At their time of launch thirty years ago, the two ERS satellites were the most sophisticated Earth observation spacecraft ever developed and launched by Europe.
ERS-1/2 SAR IM Medium Resolution L1 [SAR_IMM_1P]
This ERS Medium Resolution stripline product is generated from the Image Mode Level 0 Product. Stripline image products contain image data for an entire segment, up to a maximum size of 10 minutes per product for IM mode. The processor concatenates together several sub-images called "slices" that were processed separately on a dataset-by-dataset basis in order to form the entire stripline image. The product is processed to an approximately 150 m x 150 m resolution and has a radiometric resolution that is good enough for ice applications. This product has a lower spatial resolution than the SAR_IMP_1P and SAR_IMS_1P products. Product Characteristics: Pixel size: 5 m (ground range – across track) x 75 m (azimuth – along track) Scene area: 100 km (range) x at least 102.5 km Scene Size: 1300 pixels (range) x at least 1350 lines (azimuth) Pixel depth: 16 bits unsigned integer- Total product volume: at least 3.5 MB Projection: Ground-range Number of looks: 8 (azimuth) x 7 (range).
ERS-1/2 SAR IM Precision L1 [SAR_IMP_1P]
The SAR Precision product is a multi-look (speckle-reduced), ground range image acquired in Image Mode. This product type is most applicable to users interested in remote sensing applications, but is also suitable for calibration purposes. The products are calibrated and corrected for the SAR antenna pattern and range-spreading loss. Radar backscatter can be derived from the products for geophysical modelling, but no correction is applied for terrain-induced radiometric effects. The images are not geocoded, and terrain distortion (foreshortening and layover) has not been removed. The numbering sequence relates to the satellite position and therefore differs between Ascending and Descending scenes. Product characteristics: Pixel size: 12.5 m (range - across track) x 12.5 m (azimuth - along track) Scene area: 100 km (range) x at least 102.5 km (azimuth) Scene size: 8000 pixels range x at least 8200 lines (azimuth) Pixel depth: 16 bits unsigned integer Total product volume: 125 MB Projection: Ground-range Number of looks: 3.
ERS-1/2 SAR IM Single Look Complex L1 [SAR_IMS_1P]
The SAR SLC product is a single look complex acquired in Image Mode. It is a digital image, with slant range and phase preserved, generated from raw SAR data using up-to-date auxiliary parameters. The products are intended for use in SAR quality assessment, calibration and interferometric applications. A minimum number of corrections and interpolations are performed on the data. Absolute calibration parameters (when available) are provided in the product annotation. Product characteristics: Pixel size: 8 m (range - across track) x 4 m (azimuth - along track – varying slightly depending on acquisition Pulse Repetition Frequency) Scene area: 100 km (range) x at least 102.5 km (azimuth) Scene size: 5000 samples (range) x at least 30000 lines (azimuth) Pixel depth: 32 bits signed integer (16 bits I, 16 bits Q) Total product volume: 575 MB Projection: Slant range- Number of looks: 1.
ERS-1/2 SAR IM L0 [SAR_IM__0P]
This SAR Level 0 product is acquired in Image Mode. The products consist of the SAR telemetry data and are supplied as standard scenes. It also contains all the required auxiliary data necessary for data processing. The product serves two main purposes: For testing ERS SAR processors independently from the HDDR system For users interested in full SAR data processing. Product characteristics: Scene area: 100 km (range - across track) x full segment length (azimuth - along track) Scene size: 5616 samples (range) x full segment length (azimuth) Pixel depth: 10 bits signed integer (5 bits I, 5 bits Q) Projection: Slant range.
SCIRoCCo
The SCIRoCCo project is an interdisciplinary cooperation of scatterometry experts aimed at promoting the continuing exploitation of ESA's unique 20 years' worth of ERS Scatterometer data.