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1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesTo find satellite imagery, search the archive that holds the dataset you need, then narrow results by area and date before checking product details and access requirements. USGS EROS, NASA Earthdata and Copernicus Data Space cover different collections; no single catalog is a complete index of satellite data. Use a web interface to explore visually, or a STAC API for repeatable, scripted searches.
Choose the catalog that holds the imagery
Start with the provider rather than running the same search everywhere. Catalogs are complementary, and their coverage and access rules differ.
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- USGS EROS and EarthExplorer: Search relevant USGS holdings, including Landsat. EROS describes online search, browse images, metadata export, downloads and processing support. Many archive tools require an EROS registration account. See USGS EROS Data Access.
- NASA Earthdata Search and CMR: Use these for NASA Earth science holdings. Earthdata Search supports keyword, time and geographic searches; NASA’s Common Metadata Repository (CMR) also documents STAC search and granule searches. See NASA Earthdata Search and the NASA CMR STAC API documentation.
- Copernicus Data Space: Search collections supported by that ecosystem. Its STAC catalog is a complement to OData, not a universal satellite imagery index. The documentation describes current STAC coverage as limited. See the Copernicus Data Space STAC product catalogue.
For commercial Earth-observation data acquired through NASA’s Commercial Satellite Data Acquisition (CSDA) program, NASA’s Satellite Data Explorer (SDX) provides a separate discovery path for approved users. Its access conditions are not the same as public archive access. Details are on the NASA Satellite Data Explorer page.
Narrow the search before choosing a scene
- Set the area of interest. Search by place or draw/select the geographic extent. A defined area helps avoid results that merely intersect a broad region.
- Set the date window. Choose the period relevant to the event or comparison you are studying. A shorter interval can reduce results, but whether imagery exists for those dates depends on the collection and acquisition schedule.
- Select the collection, sensor or product. Search for the dataset you actually need, such as Landsat or a supported Sentinel-2 collection, rather than treating every result as interchangeable.
- Apply available metadata filters. Depending on the collection and interface, useful fields may include resolution, cloud cover, processing level, instrument, product type or quality flags. Filters are not universal: confirm which ones are offered for the collection in question.
Common search phrases include “satellite imagery for [place] [date],” “download Landsat imagery,” “find Sentinel-2 images by area and date,” “search satellite imagery by cloud cover” and “satellite imagery API.” These are practical ways to express a place, time or dataset requirement, not evidence that every catalog supports each phrase as a dedicated filter.
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Preview results and verify the item metadata
A thumbnail or browse image is useful for scanning scenes, but it is not a substitute for inspecting the result record. USGS defines a STAC item as a “spatiotemporal asset”—a file representing information about Earth at a certain place and time. The item’s metadata and linked assets help establish what you can actually retrieve.
Before downloading, check the footprint and acquisition time against your area and date window, then confirm the collection, sensor or instrument, product level, available quality information and asset links. EarthExplorer offers browse display and metadata export; NASA SDX includes thumbnail quick views. Preview availability and metadata fields vary by catalog and collection.
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Retrieve the data and check access conditions
Open the selected item’s asset links and follow the provider’s download or access flow. A catalog result does not guarantee an unrestricted direct download. The provider may require an account, authentication, approval or acceptance of dataset-specific terms or a license.
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NASA SDX restricts downloads to authenticated users, and commercial-data access is for approved users. The service also describes access to STARS for archive requests or tasking. Its page does not establish universal eligibility or current prices, so check the program’s conditions rather than assuming that a catalog listing means you can order or download the data.
Use STAC when you need repeatable discovery
STAC is a machine-readable catalog pattern for describing and searching spatiotemporal assets; it is not an imagery archive by itself. A STAC search can help you find records by geography and time, then inspect the assets exposed by the relevant catalog. It is useful for a repeatable workflow or script, while a browser is often more convenient for visual exploration.
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- USGS Landsat: The USGS documents a Landsat STAC browser and REST API, with spatial and temporal search and item or collection exploration. Its AWS-hosted Landsat records include JSON metadata and asset links.
- NASA: CMR documents STAC results and granule searches. Earthdata Search provides a visual route across NASA Earth science holdings, with visible filters including platform, instruments, organizations, processing level, format and resolution.
- Copernicus: The documented STAC endpoint is
https://stac.dataspace.copernicus.eu/v1/. The documentation describes STAC specification 1.1.0 and says the legacy endpoint was to be deprecated starting 17 November 2025. Because endpoint status and collection coverage can change, verify both in the current official documentation before building an integration.
For any API, first check that the catalog includes the collection you need, then use its current endpoint and documentation to form the spatial and temporal query. Inspect returned item metadata and asset links before writing a download step; an API response identifies available records, but account and dataset access requirements still apply.
Compare candidate scenes on the details that matter
If several results appear suitable, compare them using the same criteria instead of choosing solely by thumbnail or date.
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- Coverage: Does the archive and collection include the area and period you need?
- Acquisition timing: Is the scene date appropriate, and are there other acquisitions in the window? Revisit availability depends on the dataset.
- Resolution and product level: Do the spatial detail and processing level suit your analysis?
- Cloud and quality information: Are relevant metadata fields available, and do the values support using the scene?
- Preview and delivery: Is there a browse image, and are the asset format and access method usable in your workflow?
- Access conditions: Does retrieval require an account, approval, authentication or license acceptance?
These are comparison questions, not a promise that every catalog exposes all of these fields. Check the item record and collection documentation for the specific result.
Quick Recap
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