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KOMPSAT-2

Energy and Natural Resources

Human Dimensions

Land Surface

Mapping and Cartography

Natural Hazards and Disaster Risk

<p>Kompsat-2 ESA archive collection is composed by bundle (Panchromatic and Multispectral separated images) products from the Multi-Spectral Camera (MSC) onboard KOMPSAT-2 acquired from 2007 to 2014: 1m resolution for PAN, 4m resolution for MS</p>

<p>Spectral Bands:</p>

<table class="eogtable">
	<tbody>
		<tr>
			<td class="eogtable-heading" colspan="3" style="text-align: center;">Spectral Band</td>
			<td class="eogtable-heading" style="text-align: center;">Application</td>
		</tr>
		<tr>
			<td>PAN&nbsp;</td>
			<td> </td>
			<td>500 – 900 nm</td>
			<td>Locate, identify and measure surface features and objects primarily by their physical appearance</td>
		</tr>
		<tr>
			<td>MS1</td>
			<td>Blue&nbsp;</td>
			<td>450 – 520 nm</td>
			<td>Mapping shallow water, differentiating soil from vegetation</td>
		</tr>
		<tr>
			<td>MS2</td>
			<td>Green</td>
			<td>520 - 600 nm</td>
			<td>Differentiating vegetation by health</td>
		</tr>
		<tr>
			<td>MS3</td>
			<td>Red</td>
			<td>630 - 690 nm</td>
			<td>Differentiating vegetation by species</td>
		</tr>
		<tr>
			<td>MS4</td>
			<td>NIR</td>
			<td>760 – 900 nm</td>
			<td>Mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species</td>
		</tr>
	</tbody>
</table>

<p> </p>

<p><strong>Spatial coverage:</strong>&nbsp;Check the spatial coverage of the collection on a&nbsp;<a href="https://tpm-ds.eo.esa.int/smcat/Kompsat2/" target="_blank">map</a>&nbsp;available on the Third Party Missions Dissemination Service.&nbsp;</p>

KOMPSAT-2 Image Data Manual

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Utilisation of this data is subject to the Terms and Conditions for ESA's Third Party Missions scheme

<p>The FSSCat collection provides hyperspectral data coverage over a number of locations around the world, as measured by the HyperScout 2 sensor.</p>

<p>The FSSCat hyperspectral data products are comprised of 50 spectral bands, covering a spectral range of 450 – 950 nm with a spectral resolution of 18 nm (at FWHM). Imagery is available with an along-track ground sampling distance (GSD) of 75 m. To ensure a high degree of radiometric accuracy, HyperScout 2 data are validated through comparison with Sentinel-2 data products.</p>

<p>The processing level of the data is L1C – calibrated top-of-atmosphere radiance, reflectance or brightness temperature. The raster type of the L1C data product is a GRID – a 2D or 3D raster where the (geo)location of the data is uniquely defined by the upper left pixel location of the raster and the pixel size of the raster, and the projection parameters of the raster (if georeferenced). The third dimension can e.g. be a spectral or third spatial dimension.</p>

<p>The L-1C VNIR data product includes a hyperspectral cube of TOA reflectance in the VNIR range, as well as relevant meta-data that adheres to EDAP's best practice guidelines. This product consists of georeferenced and ortho-rectified image tiles that contain spectral reflectance data at the top-of-the-atmosphere. Each image tile contains radiometrically corrected and ortho-rectified band images that are projected onto a map, as well as geolocation information and the coordinate system used. Additionally, each image pixel provides TOA spectral reflectance data in scaled integers, conversion coefficients for spectral radiance units, viewing and solar zenith and azimuth angles, and quality flags.</p>

FSSCat products

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

Daniel Heywood

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GOSAT-2

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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A Fast Registration request must be submitted to access these data collections. Following user authentication, access to the data are provided within two working days.

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KOMPSAT-2 ESA archive

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Spectral Band			Application
PAN		500 – 900 nm	Locate, identify and measure surface features and objects primarily by their physical appearance
MS1	Blue	450 – 520 nm	Mapping shallow water, differentiating soil from vegetation
MS2	Green	520 - 600 nm	Differentiating vegetation by health
MS3	Red	630 - 690 nm	Differentiating vegetation by species
MS4	NIR	760 – 900 nm	Mapping vegetation, mapping vegetation vigor/health, Differentiating vegetation by species