Only this pageAll pages
Powered by GitBook
1 of 12

Hydrosat Docs

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Loading...

Hydrosat Satellite Imagery Overview

Getting Started with Hydrosat Data

Hydrosat imagery products are available through a web application and SpatioTemporal Asset Catalog (STAC) API. To access the imagery catalog, you will need an account.

Prerequisites

1

Request an account and get approved for access.

Fill out the Request Access form on our website.

2

Receive your invitation email.

Once your account has been created, you will receive an email from support@hydrosat.com with your username and temporary password. Check your spam folder if you don't see your invitation email.

3

Reset your password

Follow the instructions in the email to log in with the temporary password and choose a new password. You have 7 days to log in and reset your password. If your temporary password expires, contact Support to get a new temporary password.

4

You're all set!

Once you've reset your password, you will be able to use your new account to log into the Discovery Portal. If you need to generate API credentials for use with our STAC API, follow the instructions for managing API clients.

Ordering Data

Please speak with your organization point of contact to define and submit your order request.

VanZyl-1

VanZyl-1 (VZ-1) is Hydrosat's first pathfinder mission. Launched in August 2024 on the SpaceX Transporter-11 rideshare, VZ-1 is a technology demonstration and proof of concept for our forthcoming constellation that will redefine space-based thermal infrared remote sensing by enabling daily continuous monitoring of any location on Earth.

Hydrosat's VanZyl-1 satellite.

VZ-1 hosts two imaging payloads: Hydrosat’s first-generation, proprietary Longwave InfraRed Imager (LIRI) along with its Visible and near-InfraRed Imager (VIRI). LIRI acquires thermal infrared (TIR) imagery at wavelengths between 10.6 and 12.51 micrometers. VIRI images in 7 spectral bands ranging from 458 to 900 nanometers. VZ-1 imagery is acquired mid-morning local time.

VanZyl-2

Hydrosat's second pathfinder mission, VZ-2, launched in June 2025 on the SpaceX Transporter-14 rideshare. VZ-2 hosts the same two sensors as VZ-1, but acquires imagery in mid-afternoon local time.

Hydrosat's VanZyl-2 satellite.

Use Cases

Hydrosat users leverage high-resolution thermal data for a variety of use cases, including:

Cover

Agriculture

Cover

Urban Heat

Cover

Wildfire

Cover

Energy

Cover

Oceans

Cover

Defense & Intelligence

Cover

Weather Forecasting

Cover

Forestry

Cover

Biodiversity

Requesting Support

If you run into any problems, please get in touch with us at support@hydrosat.com. We’ll get back to you as soon as we can. Our support team is available 8:00 am to 4:00 pm Pacific time on weekdays.

Discovery Portal

The Discovery Portal is a web interface for visually browsing and downloading Hydrosat's satellite imagery catalog and complements the Discovery STAC API.

Interested in getting access to the Hydrosat Discovery Platform? Fill out the Request Access form on our website.

Locating Downloadable Data

If your Discovery Platform account is configured to allow data downloads, your access is based on areas of interest and/or specific scene IDs. The Discovery Portal includes some helpful tools to help you locate, search, and understand your downloadable data.

For help locating downloadable data via the STAC API, check out this separate article.

Viewing Downloadable Data

Imagery Searches

If you have access to downloadable data, the Downloadable toggle is available on the imagery search bar. Combine the Downloadable toggle with additional search filters, such as Acquisition Date or Cloud Cover , to find results for a subset of your downloadable data.

A Downloadable search includes results based on area of interest and specific scene ID, depending on how your account is configured.

If the Downloadable toggle is not interactive, this means you don't yet have access to downloadable data. Contact our sales team for access.

Download Access Areas

For accounts with area of interest-based download access, you can view your Download Access Areas on the map. When using the Downloadable search toggle, as discussed above, the search automatically looks for results matching your Download Access Areas.

Managing API Clients

Creating an API client is required to use Hydrosat's Discovery STAC API. This article covers the workflow for managing API Clients in the Discovery Portal.

Viewing the API Clients Management Interface

The API Clients management interface is available only to users on your account with the Org Admin role.

To view the Client ID interface, click your user avatar in the top right corner of Discovery Portal and select Account.

Users with the requisite permissions will see the API Clients section on the Account page.

If you don't know who your team's Org Admin is, and you need access to the Client ID management interface, contact support@hydrosat.com for assistance.

Creating an API Client

Each account is limited to 4 total API clients, so consider this limit when creating new API clients.

  1. Click New API Client on the right side of the API Clients section.

  2. Provide a name for the API client that is easily recognizable to you and other Org Admins. Name is required.

  3. (Optional) Provide a description.

  4. Click Create API Client

  5. Immediately upon creation, the client secret for the API client is displayed. This display is only temporary. Store the client secret in a safe and secure location in your environment as you will not be able to retrieve it from Discovery Portal in the future.

If you've lost the secret for your API client, Hydrosat is unable to retrieve it for you for security reasons. Instead, create a new API client, at which time a secret for the new API client will be provided to you. Delete any API clients you can no longer use.

Authentication

Hydrosat's Discovery STAC API requires a bearer token for authentication and authorization.

This article covers the process of using a client ID and secret pair to generate a bearer token and then including that bearer token in requests to the STAC API.

For documentation on how to create an API client ID and secret, view the Managing API Clients article.

Using a Client ID and Secret to get a Token

When creating an API client in the Discovery Portal, you will be issued a client ID and client secret for that API client.

The client ID and secret are unique credentials that allow the client to generate a temporary bearer token which provides access to use the API with any permissions provided to that client.

The client can request a valid token by submitting its client ID and secret in a form POST payload to the following token url:

The response contains the values shown below, including the amount of time the token will live before expiring, in seconds. Because a token is only temporarily valid, the client must manage getting refreshed tokens regularly in order to have consistent access to the API.

'Get Token' Example

The example below assumes that the user has stored their API client ID and secret in a separate file called creds.json with the following structure:

For security, we suggest setting credential file permissions to 600 (chmod 600 creds.json) so that only the owner has read and write access. Consult with your organization's security team to ensure you are complying with preferred methods for storing and accessing API client credentials.

The Python example below covers using the credentials stored in creds.json to generate a new token for use with the Hydrosat Discovery STAC API and storing the resulting token in the access_token variable.

Using the Token to Make a STAC Request

Once the client has a valid token, it can make requests to the STAC API as normal.

In the below example, the token is stored in the access_token variable from the previous code example and is used to make a request to the /collections endpoint using the requests Python library.

Unauthenticated Requests

Unauthenticated requests to the STAC API will return an error (401 Unauthorized Error)


For lengthier examples and next steps, please see our code examples in Github.

Example Code Github Repo

Visit our example code Github repo for helpful tutorials for using our STAC API and imagery.

API Status

Visit our status page and sign up for notifications to get the latest information on our STAC API availability.

https://auth.hydrosat.com/oauth2/token
{
    "access_token": "<token_value>",
    "expires_in": 3600,
    "token_type": "Bearer"
}
{
"client_id":"<clientID>",
"client_secret":"<clientsecret>"
}
tokenUrl = "https://auth.hydrosat.com/oauth2/token"

with open('creds.json') as f:
    creds = json.loads(f.read())

client_id = creds["client_id"]
client_secret = creds["client_secret"]

payload = f'grant_type=client_credentials&client_id={client_id}&client_secret={client_secret}'
headers = {
  'Content-Type': 'application/x-www-form-urlencoded',
}

token_response = requests.request("POST", tokenUrl, headers=headers, data=payload)
token_data = token_response.json()
access_token = token_data["access_token"]
STACheaders = {"Authorization":f"Bearer {access_token}"}
collection_response = requests.request("GET", 'https://stac.hydrosat.com/collections', headers=STACheaders)
collection_data = collection_response.json()
print(collection_data)

STAC API Reference & Specification

Hydrosat's Data Discovery STAC API is available at https://stac.hydrosat.com/. The STAC API requires authentication using a bearer token.

SpatioTemporal Asset Catalog (STAC) API

This page includes high-level information on the basic features of the API and provides examples for a few methods of working with it.

For more details, please review the STAC API specifications provided at https://github.com/radiantearth/stac-api-spec.

Through Hydrosat's STAC API, you can search for data that meets your needs. Data are stored as Cloud-Optimized GeoTIFFs (COGs), which means you can either download the full files or stream only the parts you need using standard web requests.

Once you’re authenticated, you can browse Hydrosat's STAC items and view thumbnail previews. However, only users who have ordered specific data can download the full COGs for their selected areas.

Learn more:

  • STAC (SpatioTemporal Asset Catalog): stacspec.org

  • Cloud-Optimized GeoTIFFs (COGs): cogeo.org


While you can use the STAC API directly, we recommend using one of the following tools to make it easier:

  • Python library: pystac-client documentation

STAC API Endpoints

Request
Description

GET /collections

Return list of available collections

GET /collections/{collection_id}

Return metadata for a single collection

GET /collections/{collection_id}/items

Return list of items in the specified collection

STAC Catalog Structure

Hydrosat's STAC catalog is organized into four collections.

Collection Name

Description

vz-viri-l1a

Level-1A radiance data from the visible and near-infrared sensor (VIRI)

vz-liri-l1a

Level-1A radiance data from the longwave infrared thermal sensor (LIRI)

vz-l1b

Level-1B data: top-of-atmosphere reflectance (VIRI) and brightness temperature (LIRI) aligned and resampled to same resolution

Each collection contains a series of items representing individual scenes. Within each item, you will find metadata and links to associated imagery.

Simplified structure of Hydrosat's STAC catalog.

STAC Query Examples

pystac-client

We recommend using the pystac-client Python library. This library is specifically designed to interact with STAC catalogs and APIs. Complete documentation for this library can be found here. More examples with pystac are included in our full Github examples.

import pystac
from pystac_client import Client

# Connect to the STAC catalog.
# See our page on authentication for how to set up your headers.
catalog = Client.open('https://stac.hydrosat.com/', headers=headers)

# Search for Level-2 data intersecting southern Australia from 19 April 2026
search = catalog.search(
        collections = ['vz-l2'],
        bbox = [140.173825, -37.63983, 149.28178, -34.929824],
        datetime = ["2026-01-19T00:00:00Z", "2026-04-19T00:00:00Z"]
    )

# Print a list of STAC items returned from the search    
items = list(search.items())
print(items)

curl

The STAC server can also be queried directly from your terminal using curl. For example, you can use a POST request to perform a query, specifying the search parameters as JSON-formatted raw data. For more information, please see the curl docs.

curl -X POST \
--header 'Content-Type: application/json' \
--data '{
    "collections": ["vz-l2"],
    "bbox": [140.173825, -37.63983, 149.28178, -34.929824],
    "datetime": "2026-04-01T00:00:00Z/2025-05-01T00:00:00Z"
}' \
https://stac.hydrosat.com/

Changelog

A list of satellite data product updates, including release dates and key features.

May 21, 2026: Footprint Geometry Correction

We've deployed a minor fix to ensure representativeness of STAC item footprint geometries with actual imaged area.

March 31, 2026: Coregistration Improvements

We've refined our mutual information-based coregistration workflow for improved feature matching between the LWIR and VNIR data.

February 24, 2026: Geometric Processing Improvements

We've updated our georeferencing and VNIR band alignment workflows to improve geolocation accuracy and band-to-band registration. This release includes:

  1. An enhanced optical distortion correction to reduce residual along-track offsets

  2. Use of a digital elevation model (DEM) to improve band-to-band registration over complex terrain

February 5, 2026: Level-1 Unit Changes

We've modified the units for our Level-1A and Level-1B data products.

Before The Change

Previously, L1A and L1B imagery assets contained per-band digital number data. To arrive at radiance, the user needed to apply gain and offset coefficients provided in product metadata.

After The Change

Level-1A Products

  • L1A imagery assets now natively contain per-band top-of-atmosphere (TOA) radiance values. Gain and offset coefficients are applied as part of Hydrosat's data processing.

    • Units: W/m2/sr/μm

    • Scaling factor: 0.01 (VNIR), 0.0001 (LWIR)

Level-1B Products

  • L1B imagery assets contain per-band TOA reflectance data (for VNIR bands) and brightness temperature data (for LWIR bands).

    • Units: Unitless (VNIR); Kelvin (LWIR)

    • Scaling factor: 0.0001 (VNIR); 0.01 (LWIR)

Conversions

  • Hydrosat provides a full suite of coefficients in product metadata for conversion between TOA radiance and reflectance (or brightness temperature). For more information on usage, see or our product guide.

January 27, 2026: Thumbnail Colorization Improvements (LWIR)

We've improved the contrast and visual consistency in our L1B and L2 thermal thumbnails and previews. This includes:

  • Consistent scaling across the full imaging strip rather than within individual scenes.

  • A switch from the inferno color ramp to a modified RdYlBu_r color ramp, where cooler pixels are shown in blue and warmer ones in red. These colors map to predictable temperatures; the breakpoint from blue to yellow occurs at approximately 0 degrees Celsius.

This change has no impacts on the underlying data.

January 20, 2026: Noise Mitigation

We've implemented a minor correction for noise in the thermal products.

January 14, 2026: Thumbnail Colorization Improvements (RGB)

We've released a color curve approach that improves the visual contrast in our true color thumbnails. This change has no impacts on the underlying data.

December 17, 2025: Updated Cloud Mask

We've released an improved cloud mask, which uses a U-Net convolutional neural network architecture. The new model outperforms our baseline Fmask approach across several key metrics.

FAQs

Here are our answers to some frequently asked questions from users.

this page

GET /collections/{collection_id}/items/{item_id}

Retrieve a specific item in a specific collection

POST /search

Search for items using filters (e.g., date, location)

vz-l2

Level-2 data: surface reflectance and surface temperature

I didn't receive my Discovery Platform invitation email. What should I do?

Please check your spam inbox. If you still don't see the invitation email, reach out to support@hydrosat.com for assistance.

Can I browse the catalog even if I haven't ordered any data?

Yes! Fill out the More Information form on our website in order to request browse access to our catalog.

You can also check out our Open Data Program, which you won't need an account to access.

What is STAC?

STAC stands for "SpatioTemporal Asset Catalog". It's a standardized framework for indexing, cataloging, and describing geospatial data. It makes Hydrosat data easier to work with, especially if you're integrating it with data from other sources.

What do the different assets in a STAC item represent?

Each STAC item includes several assets representing the individual data and metadata files associated with the scene. Items from different collections have different assets, as defined on our Product Details page.

I can only download thumbnail assets for certain scenes. Where's the rest of the data?

You have full access to the scenes you've ordered and thumbnail-only access to the rest of the catalog.

What do the different values in the cloud mask mean?

The cloud mask encodes information about clear or cloudy conditions present within each pixel.

Specifically, the cloud mask contains bit-packed pixel values; each pixel value is a decimal representation of binary strings, in which each bit represents a different condition.

For simplicity, we recommend using the look-up table below. The table displays common pixel values and their meanings.

Value
Clear
No data
Cloud

If you see a value of 2 in the cloud mask, for example, this would indicate cloudy conditions.

You can also review our how-to guide on using the cloud mask for additional information.

Where can I check the online status of the STAC API, Accounts API, or Discovery Portal?

Check out our status page for information about whether our services are online. You can even subscribe to notifications about the online status.

If you are having issues with access, or you notice the services are offline for a prolonged period, don't hesitate to contact our support team.

I want to learn more about Hydrosat's data products. Where can I find more information?

You can find additional details in our product guide. Please reach out to your organization point of contact if you don't already have this document.

Can I use the STAC API with QGIS?

Though we recommend using Discovery Portal for a superior browsing experience, it is possible to connect to our STAC API from QGIS.

Begin by getting access to a client ID and secret. Then right-click the STAC option in the QGIS browser add a New STAC Connection . Fill out the Authentication form as shown to set up the connection and click Save. The Token URL is https://auth.hydrosat.com/oauth2/token

If you do not see the Grant flow: Client Credentials option, update your installation of QGIS. The necessary authentication configuration is only supported on newer versions of QGIS.

Locating Downloadable Data

If your Discovery Platform account is configured to allow data downloads, your download entitlements are based on areas of interest and/or specific scene IDs. If you already know what your entitlement areas of interest (Download Access Areas) or scene IDs are, you can use that information to query data via the STAC API.

For help locating downloadable data in the Discovery Portal, check out this separate article.

If you don't know what your download entitlements are, you can look them up using Hydrosat's Accounts API.

If you would like to get access to downloadable data, contact our sales team.

Using Accounts API

Accounts API uses the same bearer token Authentication and API credentials as the STAC API.

Use the following endpoint to GET the active access policy for your account, which includes information about your download entitlements.

https://accounts.hydrosat.com/v2/me/access-policies

The polygons for area of interest-based download entitlements are listed within product_entitlements and scene ID-based entitlements are listed within scene_entitlements. The product_entitlements and scene_entitlements also include information about which STAC collections are you entitled to download from.

A product_entitlements example with a single polygon areas_of_interest is shown below.

A scene_entitlements example containing 2 scene_ids is shown below.

0
1
2

Response Examples

meResponse = requests.request("GET",'https://accounts.hydrosat.com/v2/me/access-policies', headers=myheaders)
meContent = meResponse.json()
access_policy = meContent.get("access_policies", [])[0]
scene_entitlements = access_policy.get("scene_entitlements", [])
product_entitlements = access_policy.get("product_entitlements", [])
[
   {
      "id":"d1ab374b-7623-416d-9dc9-b62df7866625",
      "access_policy_id":"98ab1aa0-02a2-4a75-b5bf-19e95f5eb08e",
      "product_name":"archive",
      "configuration":{
         "product_name":"archive",
         "collections":[
            "vz-liri-l1a",
            "vz-viri-l1a",
            "vz-l1b",
            "vz-l2"
         ],
         "restrict_search":false,
         "restrict_items":true,
         "restrict_properties":true
      },
      "areas_of_interest":[
         {
            "id":"448e8a88-0c56-4406-b9ba-a64b2c946584",
            "product_entitlement_id":"d1ab374b-7623-416d-9dc9-b62df7866625",
            "name":"Lake",
            "geometry":{
               "type":"Polygon",
               "coordinates":[
                  [
                     [
                        -94.0733085212435,
                        31.98981826138629
                     ],
                     [
                        -93.82521380712805,
                        31.113313105933432
                     ],
                     [
                        -93.41658721917305,
                        31.01958485756203
                     ],
                     [
                        -93.38010270239135,
                        31.275556307422413
                     ],
                     [
                        -93.5260407695181,
                        31.704771952854895
                     ],
                     [
                        -93.82521380712805,
                        31.97125515504588
                     ],
                     [
                        -94.0733085212435,
                        31.98981826138629
                     ]
                  ]
               ]
            },
            "created":"2026-07-10T23:12:25.815575Z",
            "updated":"2026-07-10T23:12:25.815575Z"
         }
      ],
      "created":"2026-07-10T23:12:25.587717Z",
      "updated":"2026-07-10T23:12:25.587717Z"
   }
]
[
   {
      "id":"5d756296-38d0-4c61-a256-1cfc4eeee411",
      "access_policy_id":"ffdf58c5-c527-4c32-98cf-933a2114f0c5",
      "collections":[
         "vz-liri-l1a",
         "vz-viri-l1a",
         "vz-l1b",
         "vz-l2"
      ],
      "scene_id":"VZ01_20260306_050940",
      "created":"2026-07-10T21:54:04.501632Z",
      "updated":"2026-07-10T21:54:04.501632Z"
   },
   {
      "id":"e9377d49-6342-4530-ad87-325cd3a04989",
      "access_policy_id":"ffdf58c5-c527-4c32-98cf-933a2114f0c5",
      "collections":[
         "vz-liri-l1a",
         "vz-viri-l1a",
         "vz-l1b",
         "vz-l2"
      ],
      "scene_id":"VZ02_20260514_073333",
      "created":"2026-07-10T21:54:04.391214Z",
      "updated":"2026-07-10T21:54:04.391214Z"
   }
]

Product Details

Learn more about the different data products Hydrosat provides.

Level-1 Imagery

The Level-1A data product is the least processed of the available imagery. It includes processing applied onboard the instrument, such as time delay integration and non-uniformity corrections, as well as co-registration of sensor bands and georegistration. The full swath data is provided to users in image space with no resampling. Level-1A pixel values represent top-of-atmosphere (TOA) radiance [W/m2/sr/μm].

The Level-1B product includes converting the radiance values to TOA reflectance (VIRI) or brightness temperature (LIRI), clipping the VIRI data to the extent of the LIRI swath, generation of a cloud mask, and orthorectification.

L1 Product Granule Size

L1A VIRI: 122 km x 70 km

L1A LIRI: 70 km x 70 km

L1B: Combined 70 km x 70 km

Each STAC item includes several assets representing the individual data and metadata files associated with the scene. Items from different collections contain a different set of assets, as defined below.

L1A VIRI TOA radiance values can be converted to TOA reflectance by applying the per-band LEVEL1_REFLECTANCE_SCALING coefficient in the companion L1A metadata (MTA) file.

L1A LIRI TOA radiance values can be converted to brightness temperature using the following equation:

where K1 and K2 are per-band LEVEL1_THERMAL_CONSTANTS from the L1A MTA file, and L represents scaled radiance.

L1B VIRI reflectance data can be converted back to TOA radiance by applying the per-band LEVEL1_RADIANCE_SCALING coefficient in the companion L1B MTA file.

L1B LIRI BT values can be converted back to TOA radiance using the following equation:

where K1 and K2 are per-band LEVEL1_BT_TO_RADIANCE_CONSTANTS from the L1B MTA file.

The Level-2 product includes radiometric terrain corrections and conversion to surface reflectance (SR) and land surface temperature (LST).

Level-2 assets include per-band SR and LST COGs (and more).

No Data Value

0

Scaling Factor

LST, LST uncertainty: 0.01

SR, emissivity: 0.0001

L1 Pixel Size

L1A VIRI: 29.9 m

L1A LIRI: 68.8 m

L1B: 30 m

Resampling Method

Bilinear (L1B only)

Bit Depth

16-bit

Map Projection

L1A VIRI & LIRI: EPSG 4326 (RPCs included in metadata)

L1B: Universal Transverse Mercator (UTM)

No Data Value

0

Scaling Factor

L1A VIRI: 0.01 L1A LIRI: 0.001 L1B VIRI: 0.0001 L1B LIRI: 0.01

Conversion Factors

Coefficients for conversion between radiance and TOA reflectance or BT provided in companion metadata file

BT = K2 / ln(K1 / L + 1)
L = K1 / (e(K2 / BT) - 1)

L2 Product Granule Size

70 km x 70 km

L2 Pixel Size

30 m

Map Projection

UTM

Bit Depth

16-bit

Level-1 Assets

vz-viri-l1a
Asset
Description
Center Wavelength (nm)
File Type

BLUE

vz-liri-l1a
Asset
Description
Center Wavelength (µm)
File Type

LWIR1

vz-l1b
Asset
Description
File Type

BLUE

Blue TOA reflectance

Conversions

Level-1A VIRI

Level-1A LIRI

Level-1B VIRI

Level-1B LIRI

Level-2 Imagery

Level-2 Assets

vz-l2
Asset
Description
File Type

BLUE_SR

Blue band surface reflectance

Blue radiance

490.5

COG

GREEN

Green radiance

560.5

COG

RED

Red radiance

665

COG

REDEDGE1

Red edge 1 radiance

705.5

COG

REDEDGE2

Red edge 2 radiance

740.5

COG

REDEDGE3

Red edge 3 radiance

783

COG

NIR

NIR radiance

842.5

COG

QUALITY_ASSURANCE

Radiometric saturation mask

COG

PREVIEW

Full-resolution RGB preview image

COG

THUMBNAIL

Low-resolution RGB thumbnail

PNG

METADATA

Ancillary metadata file

JSON

LWIR 1 radiance

10.895

COG

LWIR2

LWIR 2 radiance

12.005

COG

QUALITY_ASSURANCE

Radiometric saturation mask

COG

PREVIEW_LWIR

Full-resolution LWIR preview image

COG

THUMBNAIL

Low-resolution thumbnail

PNG

METADATA

Ancillary metadata file

JSON

COG

GREEN

Green TOA reflectance

COG

NIR

NIR TOA reflectance

COG

RED

Red TOA reflectance

COG

REDEDGE1

Red edge 1 TOA reflectance

COG

REDEDGE2

Red edge 2 TOA reflectance

COG

REDEDGE3

Red edge 3 TOA reflectance

COG

LWIR1

LWIR 1 brightness temperature

COG

LWIR2

LWIR 2 brightness temperature

COG

QUALITY_ASSURANCE

Radiometric saturation mask

COG

CLOUD_MASK

Mask indicating cloud, cloud shadow, and snow or ice

COG

PREVIEW

Full-resolution RGB preview image

COG

PREVIEW_LWIR

Full-resolution LWIR preview image

COG

THUMBNAIL

Low-resolution RGB thumbnail

PNG

METADATA

Ancillary metadata file

JSON

COG

GREEN_SR

Green band surface reflectance

COG

NIR_SR

NIR band surface reflectance

COG

RED_SR

Red band surface reflectance

COG

REDEDGE1_SR

Red edge 1 band surface reflectance

COG

REDEDGE2_SR

Red edge 2 band surface reflectance

COG

REDEDGE3_SR

Red edge 3 band surface reflectance

COG

LWIR1_EMIS

LWIR 1 band emissivity

COG

LWIR2_EMIS

LWIR 2 band emissivity

COG

LST

Land surface temperature

COG

LST_UNCERTAINTY

Land surface temperature uncertainty

COG

QUALITY_ASSURANCE

Radiometric saturation mask

COG

CLOUD_MASK

Mask indicating cloud, cloud shadow, and snow or ice

COG

PREVIEW

Full-resolution RGB preview image

COG

PREVIEW_LST

Full-resolution LST preview image

COG

THUMBNAIL

Low-resolution RGB thumbnail

PNG

THUMBNAIL_LST

Low-resolution LST thumbnail

PNG

METADATA

Ancillary metadata file

JSON