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	<updated>2026-04-09T19:39:24Z</updated>
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		<id>https://wonkpedia.org/mediawiki/index.php?title=Free_remote_sensing_data_sources&amp;diff=2175</id>
		<title>Free remote sensing data sources</title>
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		<updated>2022-07-16T12:05:14Z</updated>

		<summary type="html">&lt;p&gt;Púca: /* Sentinel Playground */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page lists some common sources and ways to access publicly-available [[Remote Sensing|remote sensing]] data.&lt;br /&gt;
&lt;br /&gt;
== Directories ==&lt;br /&gt;
&lt;br /&gt;
* [https://github.com/nickrsan/awesome-public-datasets/ Awesome Public Datasets] from Nick Santos. Goes well beyond remote sensing, but there’s much of OSINT interest.&lt;br /&gt;
* [https://docs.google.com/spreadsheets/d/1oFY_TX5QRFyAAu-nxeClnOFB1epSlSDWEHoMalvv0Qs/edit#gid=0 Sources of Satellite Data].&lt;br /&gt;
* NOAA NCEI’s [https://www.ncei.noaa.gov/maps-and-geospatial-products Maps and Geospatial Products].&lt;br /&gt;
* [https://opendatainception.io/ Open Data Inception].&lt;br /&gt;
&lt;br /&gt;
''Feel free to take items from these sources and expand them below.''&lt;br /&gt;
&lt;br /&gt;
== EarthExplorer ==&lt;br /&gt;
&lt;br /&gt;
[https://earthexplorer.usgs.gov/ EarthExplorer] is a multi-source query and download tool operated by the US Geological Survey. It gives access to most US federally produced optical remote sensing data from aerial sources and from satellites with less than daily revisit. As a rule of thumb, it has more archival and high to medium resolution data, while WorldView has more realtime and low resolution data.&lt;br /&gt;
&lt;br /&gt;
=== Access requirements ===&lt;br /&gt;
&lt;br /&gt;
Public with a (free) [https://urs.earthdata.nasa.gov/ Earthdata account].&lt;br /&gt;
&lt;br /&gt;
=== Example workflow ===&lt;br /&gt;
&lt;br /&gt;
# Create an Earthdata account and log in.&lt;br /&gt;
# In the Search Criteria tab, drop a pin on your site of interest.&lt;br /&gt;
# Select something in the Data Sets tab, for example Landsat → Landsat Collection 2 Level-1 → Landsat 8-9 OLI/TIRS C2 L1.&lt;br /&gt;
# Click the Results tab. In the listing there, next to a scene that you like, click the footprint icon to see it previewed at low resolution on the map, or click the download icon next to it.&lt;br /&gt;
&lt;br /&gt;
=== Highlights ===&lt;br /&gt;
&lt;br /&gt;
* '''The whole Landsat archive''': near-global medium resolution multispectral imagery back to 1972.&lt;br /&gt;
* '''Sentinel-2''' access: while it’s not the best S2 browser, it’s handy to have available for comparison to Landsat, etc.&lt;br /&gt;
* ISRO '''Resourcesat''' data – rarely the best available data in terms of resolution, but often overlooked, and sometimes able to fill a crucial gap in better-known sources.&lt;br /&gt;
* Excellent aerial (high resolution) coverage of the continental US, for example with NAIP.&lt;br /&gt;
* A scattershot, relatively small, yet occasionally useful collection of commercial imagery licensed for open redistribution. For example, coverage of the Korean Peninsula in the mid-2000s with [https://www.usgs.gov/centers/eros/science/usgs-eros-archive-commercial-satellites-orbview-3 OrbView-3 data].&lt;br /&gt;
&lt;br /&gt;
=== Limits ===&lt;br /&gt;
&lt;br /&gt;
* Most data is US-only – can be tedious to wade through if you’re looking for something else.&lt;br /&gt;
* Download speeds are often low (a few MiB/second). If you’re fetching large datasets, it’s often best to use EE as a browse tool to find image IDs, then pull them from a faster endpoint (for example, Landsat on AWS).&lt;br /&gt;
* Frequently down for maintenance: typically several days/year.&lt;br /&gt;
&lt;br /&gt;
=== Tips ===&lt;br /&gt;
&lt;br /&gt;
* For advanced search queries, use the Additional Criteria, which uses metadata as available per dataset. For example, you might construct a query like “Landsat scenes that are less then 50% cloudy and from either June or July of any year between 1990 and 2010”.&lt;br /&gt;
* In the nested directory in the Data Sets tab, click the “i” icon to get a dataset description. Click the map icon to display the dataset’s footprint on the map, so you can tell whether it covers your general region of interest (though this may take a minute for a dataset with a complex footprint).&lt;br /&gt;
&lt;br /&gt;
== Sentinel Hub==&lt;br /&gt;
[https://www.sentinel-hub.com/ Sentinel Hub] is a multi-source query and download tool owned and operated by Sinergise Laboratory for geographical information systems, Ltd.&lt;br /&gt;
&lt;br /&gt;
It allows access to the most recent data from the European Space Agency's Sentinel-1, Sentinel-2, Sentinel-3, Sentinel-5P satellites, as well as Landsat.&lt;br /&gt;
&lt;br /&gt;
[[File:Sentinel Hub EO - Comparison Tool.png|alt=Screenshot of Sentinel Hub EO Browser comparison slider tool, using Sentinel-1 SAR and Sentinel-2 optical imagery.|thumb|Screenshot of Sentinel Hub EO Browser comparison slider tool, using Sentinel-1 SAR and Sentinel-2 optical imagery.]]&lt;br /&gt;
&lt;br /&gt;
===Access requirements===&lt;br /&gt;
&lt;br /&gt;
Public; some features, such as measuring tool and the time lapse utility require a (free) [https://services.sentinel-hub.com/oauth/subscription?param_domain_id=2&amp;amp;param_redirect_uri=https://apps.sentinel-hub.com/eo-browser/oauthCallback.html&amp;amp;param_state=&amp;amp;param_scope=SH%20EOBrowser&amp;amp;param_client_id=1febe974-ca4f-44c1-9fc8-bafbd3bb4abd&amp;amp;domainId=2 Sentinel Hub account].&lt;br /&gt;
&lt;br /&gt;
===Highlights===&lt;br /&gt;
[https://apps.sentinel-hub.com/eo-browser/ Sentinel Hub EO browser] offers two capabilities which allow for quick image comparison - an excellent way of detecting changes: &lt;br /&gt;
&lt;br /&gt;
* A &amp;quot;Compare&amp;quot; slider tool which allows quick and easy comparison of images taken in different modes and/or by different satellites, e.g. comparing a Sentinel-1 SAR picture with Sentinel-2 optical imagery. &lt;br /&gt;
* With a free account, it also offers the ability to create animated time lapses, spanning days, weeks or even years. &lt;br /&gt;
&lt;br /&gt;
=== Tips ===&lt;br /&gt;
When viewing Sentinel-1 SAR imagery, the EO Browser defaults to '''HH - decibel gamma0''' mode. While useful in many contexts, I find that it is subject to more interference from atmospheric conditions, e.g. rain, water vapor etc. &lt;br /&gt;
&lt;br /&gt;
Selecting '''HV - linear gamma0''' instead greatly mitigates this noise and it is therefore my go to mode when trying to detect vessels at sea which otherwise would have been invisible using '''HH - decibel gamma0'''.&lt;br /&gt;
&lt;br /&gt;
==Worldview==&lt;br /&gt;
&lt;br /&gt;
[https://worldview.earthdata.nasa.gov/ Worldview] is a multi-source visualization, query, and download tool operated by NASA EOSDIS. (It should not be confused with World'''V'''iew, a series of commercial high-resolution satellites from Maxar.) It gives access to most US federally produced remote sensing data from polar satellites with daily revisits. In general these are low-resolution sensors (on the order of 1 km/px) that are focused on topics related to the weather, climate, and environment, for example creating fire maps.&lt;br /&gt;
&lt;br /&gt;
=== Access requirements===&lt;br /&gt;
&lt;br /&gt;
Public; some features may require a (free) [https://urs.earthdata.nasa.gov/ Earthdata account].&lt;br /&gt;
&lt;br /&gt;
===Example workflow===&lt;br /&gt;
&lt;br /&gt;
# Click the orange + Add Layers button on the left sidebar.&lt;br /&gt;
#Navigate to Air Quality → Fires and Thermal Anomalies and click it.&lt;br /&gt;
#Click the checkbox by Aqua and Terra/MODIS → Fires and Thermal Anomalies (Day and Night).&lt;br /&gt;
#Close the dataset chooser overlay (returning to the map view).&lt;br /&gt;
# Move the date playhead (arrow) at the bottom of the window to yesterday or before (to allow time for data processing).&lt;br /&gt;
&lt;br /&gt;
===Highlights===&lt;br /&gt;
&lt;br /&gt;
*“Earth at Night” data: Suomi NPP/VIIRS Day/Night Band and its derivatives, which are low-res but allow quick insight into events like power outages, gas field operations, etc.&lt;br /&gt;
*Some access to geostationary imagery.&lt;br /&gt;
&lt;br /&gt;
===Limits===&lt;br /&gt;
&lt;br /&gt;
*Although it has significant download capability, it’s generally more oriented toward in-browser visualization.&lt;br /&gt;
*Very little data available through Worldview is sharper than about 250 m/pixel.&lt;br /&gt;
&lt;br /&gt;
===Tips===&lt;br /&gt;
&lt;br /&gt;
*The main polar imaging instruments, MODIS on the Aqua and Terra satellites and VIIRS on Suomi NPP and NOAA-20, provide a richly multispectral 4-frame animation over midday for basically everywhere that is not in polar night or the gap between swaths. Although it’s low-res, it can be valuable for, e.g., using cloud configurations to pin down times of images.&lt;br /&gt;
&lt;br /&gt;
==Vertex==&lt;br /&gt;
&lt;br /&gt;
[https://search.asf.alaska.edu/#/ Vertex] is a multi-source query, download, and limited analysis tool for SAR (synthetic aperture radar) data, operated by the University of Alaska and NASA. Most but not all significant public domain SAR datasets are available through it.&lt;br /&gt;
&lt;br /&gt;
===Access requirements===&lt;br /&gt;
&lt;br /&gt;
Public with a (free) [https://urs.earthdata.nasa.gov/ Earthdata account].&lt;br /&gt;
&lt;br /&gt;
===Example workflow===&lt;br /&gt;
&lt;br /&gt;
#Log in.&lt;br /&gt;
#Draw a rectangle over your area of interest.&lt;br /&gt;
#Click the UPDATE button in the top bar (accepting the defaults). After the search runs, a list browser will pop up from the bottom.&lt;br /&gt;
#Click a SAR scene with a preview image in the left column of the list browser.&lt;br /&gt;
# Click the larger preview image that appears in the middle column (your cursor will change to a magnifying glass). Pan and zoom at will, then close the preview viewer.&lt;br /&gt;
# In the right column, click the download icon (the cloud with an arrow) next to L1 Detected High-Res Dual-Pol (GRD-HD).&lt;br /&gt;
&lt;br /&gt;
===Highlights===&lt;br /&gt;
&lt;br /&gt;
*Sentinel-1 data is the backbone of Vertex’s datasets: dual-polarization, lowish-resolution, land-oriented, survey-mode SAR data.&lt;br /&gt;
*SeaSat data! Coverage is [https://asf.alaska.edu/data-sets/sar-data-sets/seasat/seasat-swath-coverage-maps/ very sparse], but it’s of historical significance, and if you ever want to know what your AOI looked like in L-band SAR in 1978, good luck finding a better source.&lt;br /&gt;
*[https://docs.asf.alaska.edu/api/basics/ Good API] access.&lt;br /&gt;
&lt;br /&gt;
===Limits===&lt;br /&gt;
&lt;br /&gt;
*Direct download is fairly slow.&lt;br /&gt;
*Access to some datasets requires authorization (i.e., showing that it’s part of a credible research project and potentially agreeing to a no-redistribution license).&lt;br /&gt;
&lt;br /&gt;
===Tips===&lt;br /&gt;
&lt;br /&gt;
*If you’re on reasonably good broadband, the direct download option is not optimal. Instead, use the “shopping cart” feature. Add your items to the cart, then select “Metadata (metalink)” from the shopping cart’s Data Download menu. Use .metalink file it provides with a tool like [https://aria2.github.io/ aria2]. Downloading this way is far faster; it will saturate a 100 MiB/s connection.&lt;br /&gt;
[[Category:Radar]]&lt;br /&gt;
[[Category:SAR]]&lt;br /&gt;
[[Category:Guide]]&lt;br /&gt;
[[Category:List]]&lt;br /&gt;
[[Category:Remote Sensing]]&lt;/div&gt;</summary>
		<author><name>Púca</name></author>
	</entry>
	<entry>
		<id>https://wonkpedia.org/mediawiki/index.php?title=File:Sentinel_Hub_EO_-_Comparison_Tool.png&amp;diff=2174</id>
		<title>File:Sentinel Hub EO - Comparison Tool.png</title>
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		<updated>2022-07-16T11:34:32Z</updated>

		<summary type="html">&lt;p&gt;Púca: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Screen of Sentinel Hub EO tool comparing Sentinel-1 SAR imagery with Sentinel-2 optical imagery taken on the same day.&lt;/div&gt;</summary>
		<author><name>Púca</name></author>
	</entry>
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