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Swarm

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<p>The Level 1b products of the Swarm mission contains time-series of quality-screen, calibrated, and corrected measurements given in physical, SI units in geo-localized reference frames.</p>

<p>Level 1b products are provided individually for each of the three satellites Swarm A, Swarm B, and Swarm C on a daily basis.</p>

Swarm level 1b processor algorithms

Swarm level 1b plasma processor algorithm

Swarm level 1b cdf data format

Quality of Swarm products (L1b and L2-cat2)

Level 1b product format

Level 1b product definitions

Review of Swarm L1B data quality

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The access and use of Swarm products are regulated by the ESA's Data Policy and subject to the acceptance of the specific Terms & Conditions.

In cooperation with CONAE (Comisión Nacional de Actividades Espaciales), ESA is launching an Announcement of Opportunity for the international scientific community to access data from the SAOCOM mission for science and EO-based applications development.

Announcement of Opportunity for SAOCOM

<p>GEOSAT-2 Portugal coverage is a collection of 2021 data over the Portugal area, including islands. The available dataset has a cloud cover less than 10%, and is acquired up to 1m resolution with Geometric accuracy &lt;6m CE90 based on Copernicus DEM @10m.</p>

<figure class="centered-mobile-centered"><a data-lightbox="GEOSAT-2-Portugal" data-title="GEOSAT-2 Portugal 2021 - Spatial Coverage of the Dataset" href="/documents/20142/4279060/GEOSAT2_Portugal_Coverage.png"><img alt="GEOSAT-2 Portugal 2021 - Spatial Coverage of the Dataset" src="/documents/20142/4279060/GEOSAT2_Portugal_Coverage_Smaller.jpg/3e2c84ea-17e7-c8b6-ed57-b079e1851142?t=1677155961453&amp;download=true" style="margin: 10px;" /></a>

<figcaption style="text-align: center;"><i>GEOSAT-2 Portugal 2021 - Spatial Coverage of the Dataset</i></figcaption>
</figure>

<p>The following product types are available:</p>

<ul>
	<li><strong>Pan-sharpened (4 bands, 321 Natural Colours or 432 False Colours):</strong> A four-band image, resulting from adding the information of each multispectral band to the panchromatic band. The fusion does not preserves all spectral features of the multispectral bands, so it should not be used for radiometric purposes. Resolution 1m; Bands: All, R-G-B or Ni-R-G</li>
	<li><strong>Bundle: </strong>Panchromatic (1m resolution) + Multispectral bands (4m resolution): five-band image containing the panchromatic and multispectral products packaged together, with band co-registration.</li>
</ul>

<p>The available processing level is L1C orthorectified: a calibrated and radiometrically corrected product, manually orthorectified and resampled to a map grid.</p>

<table class="eogtable">
	<tbody>
		<tr class="eogtable-heading">
			<td rowspan="2">Product Type</td>
			<td colspan="2">Processing Level and Spatial Resolution</td>
		</tr>
		<tr class="eogtable-heading">
			<td>L1B (native)</td>
			<td>L1C (ortho)</td>
		</tr>
		<tr>
			<td>Pan-sharpened</td>
			<td>1.0m</td>
			<td>1.0m</td>
		</tr>
		<tr>
			<td>Bundle (PAN+MS)</td>
			<td>1.0m (P), 4.0m (MS)</td>
			<td>1.0m (P), 4.0m(MS)</td>
		</tr>
	</tbody>
</table>

GEOSAT-2 Portugal Coverage 2021

<p>A large number of European cities are covered by this dataset; for each city you can find one or more Cartosat-1 ortho image products and one or more Euro-Maps 3D DSM tiles clipped to the extent of the ortho coverage.</p>

<p>The Euro-Maps 3D DSM is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m Cartosat-1 in-flight stereo data with a vertical accuracy of 10 m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers:</p>

<ul>
	<li>The dsm layer (*_dsm.tif) contains the elevation heights as a geocoded raster file</li>
	<li>The source layer (*_src.tif) contains information about the data source for each height value/pixel</li>
	<li>The number layer (*_num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM</li>
	<li>The quality layer (*_qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications</li>
	<li>The accuracy vertical layer (*_acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel.</li>
</ul>

<p>The ortho image is a Panchromatic image at 2.5 m resolution. The following table defines the offered product types.</p>

<table class="eogtable">
	<tbody>
		<tr class="eogtable-heading">
			<td>EO-SIP product type</td>
			<td>Description</td>
		</tr>
		<tr>
			<td>PAN_PAM_3O</td>
			<td>IRS-P5 Cartosat-1 ortho image</td>
		</tr>
		<tr>
			<td>DSM_DEM_3D</td>
			<td>IRS-P5 Cartosat-1 DSM</td>
		</tr>
	</tbody>
</table>

European Cities: Cartosat-1 Euro-Maps 3D

<p>The Atmospheric Carbon-dioxide Grating Spectrometer (ACGS) instrument is pushbroom spectrometer operating in NIR and SWIR bands which allows the measuring of CO2 mole fraction.</p>

<p>The available ACGS products have a temporal coverage between March 2017 and January 2020 (not all days included in the time frame):</p>

<ul>
	<li>L1A DS: Sample Dark Calibration sample product</li>
	<li>L1A GL: Sample Glint Sample products</li>
	<li>L1A LS: Sample Lamp Calibration sample product</li>
	<li>L1A ND: Principal-Plane Nadir Sample product</li>
	<li>L1A ZS: Sample Z-Axis Solar Calibration Sample</li>
	<li>L1B CAL DS: Sample Dark Calibration product</li>
	<li>L1B CAL LS: Sample Lamp Calibration product</li>
	<li>L1B CAL ZS: Sample Z-Axis Solar Calibration product</li>
	<li>L1B SCI GL: Sample Glint Science product</li>
	<li>L1B SCI ND: Principal-Plane Nadir Science product.</li>
</ul>

<p> </p>

<p>The Cloud Aerosol Polarization Imager (CAPI) is a pushbroom radiometer in VIS, NIR and SWIR bands for the observation of aerosols and clouds optical properties.</p>

<p>The CAPI products are available in a time range from July 2019 and January 2020 (not all days included in the time frame):</p>

<ul>
	<li>L1A ND: Principal-Plane Nadir product</li>
	<li>L1B ND 1000M: Principal-Plane Nadir products at 1000 m resolution (1375 nm, 1640 nm)</li>
	<li>L1B ND 250M: Principal-Plane Nadir products at 250 m resolution (380 nm, 670 nm, 870 nm)</li>
	<li>L1B ND GEOQK: Principal-Plane Nadir georeferenced at 250 m resolution</li>
	<li>L1B ND GEO1K: Principal-Plane Nadir georeferenced at 1000 m resolution</li>
	<li>L1B ND OBC: Principal-Plane Nadir on-board calibrator product</li>
	<li>L2 ND CLM: Principal-Plane Nadir cloud flag product.</li>
</ul>

TanSat AGCS and CAPI products

<div class="right-mobile-centered">
<figure class="right-mobile-centered"><a data-lightbox="AATSR Full Resolution image of the Iberian Peninsula from 28 October 2006. Land coverage is an RGB image from the 1.6, 0.87 and 0.55 µm radiance channels; Ocean coverage is from the 3.7 µm brightness temperature channel." data-title="AATSR Full Resolution image of the Iberian Peninsula from 28 October 2006. Land coverage is an RGB image from the 1.6, 0.87 and 0.55 µm radiance channels; Ocean coverage is from the 3.7 µm brightness temperature channel." href="/documents/20142/1363749/AATSR-Iberia-1.jpg"><img alt="AATSR Full Resolution image of the Iberian Peninsula from 28 October 2006" class="right-mobile-centered" src="/documents/20142/1363749/AATSR-Iberia-1-3-tm.jpg" /> </a> -
<figcaption style="text-align:center"><i>AATSR Full Resolution land and ocean cover image of the Iberian Peninsula from 28 October 2006</i></figcaption>
</figure>
</div>

<div class="right-mobile-centered">
<figure class="right-mobile-centered"><a data-lightbox="AATSR Full Resolution image of the Iberian Peninsula from 28 October 2006. Land coverage is an RGB image from the 1.6, 0.87 and 0.55 µm radiance channels." data-title="AATSR Full Resolution image of the Iberian Peninsula from 28 October 2006. Land coverage is an RGB image from the 1.6, 0.87 and 0.55 µm radiance channels." href="/documents/20142/1363749/AATSR-Iberia-2.jpg"><img alt="AATSR Full Resolution image of the Iberian Peninsula from 28 October 2006" class="right-mobile-centered" src="/documents/20142/1363749/AATSR-Iberia-2-5-tm.jpg" style="margin-left:10px;" /> </a>

<figcaption style="text-align:center"><i>AATSR Full Resolution land cover image of the Iberian Peninsula from 28 October 2006.</i></figcaption>
</figure>
</div>

<p>The Envisat AATSR Level 1B Brightness Temperature/Radiance product (RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.</p>

<p>This AATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products.&nbsp;</p>

<p>The 4th reprocessing of ENVISAT AATSR data was completed in 2022; the processing updates that have been put in place and the expected scientific improvements have been outlined in full in the <a href="https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf" target="_blank">User Documentation for (A)ATSR 4th Reprocessing Products</a>.</p>

Envisat AATSR L1B Brightness Temperature/Radiance [ENV_AT_1_RBT]

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GOSAT (Greenhouse gases Observing Satellite) is a JAXA (Japan Aerospace Exploration Agency) mission within the GCOM (Global Change Observation Mission) program of Japan. The GOSAT mission goals call for the study of the transport mechanisms of greenhouse gases such as carbon dioxide (CO2) and methane (CH4).

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