Software
The tutorials listed below help identify best practices when working with Landsat data directly in the cloud; accessing Landsat data via the Machine-to-Machine API; and utilizing the Landsat Quality Assessment (QA) band. More tutorials will be added to this page as they are created.
Filter Total Items: 26
Everything Scene-Search with Machine-to-Machine Everything Scene-Search with Machine-to-Machine
Learn about the input parameters necessary for interacting with the M2M API scene-search endpoint.
Pulling and Merging Adjacent Windows of Landsat Analysis Ready Data Pulling and Merging Adjacent Windows of Landsat Analysis Ready Data
Learn how to pull and concatenate ARD windows from the same date across multiple adjacent tiles.
Landsat Reprocessing How to Keep Your Data Current Landsat Reprocessing How to Keep Your Data Current
This guide walks users through how to search the Bulk Metadata Service and compare their product lists with those available on the service, helping them ensure their data stays up to date with the latest Landsat reprocessing events.
Pulling Windows of Landsat Analysis Ready Data Pulling Windows of Landsat Analysis Ready Data
This tutorial demonstrates how to pull windows of ARDs for faster and more efficient data processing.
View Landsat Thumbnails after Querying View Landsat Thumbnails after Querying
This is a shorter tutorial, a quick guide, that shows users how to pull and view thumbnails and other images provided by the Landsat SpatioTemporal Asset Catalog (STAC).
Landsat Compositing of the Ucayali Region in Peru Landsat Compositing of the Ucayali Region in Peru
The USGS User Services, in collaboration with a NASA project, created this compositing workflow that produces Landsat composites for the Ucayali region in Peru. The Ucayali region is located in the heart of the Peruvian Amazon and spans approximately 102,400 square kilometers (39,537 square miles), making it the largest region in the country. The Ucayali experiences significant cloud...
Mapping Snow Change through the Time Series Analysis of Landsat Data Mapping Snow Change through the Time Series Analysis of Landsat Data
This tutorial guides users on how to complete time series analysis in the cloud, with a focus on snow and glacial retreat at the South Cascade Glacier.
Creating Composites with Landsat Data Creating Composites with Landsat Data
This tutorial teaches users how to combine multiple spectral bands for visualization and create annual composites using known temporal compositing techniques.
Using Checksums to Verify Downloads with Machine-to-Machine Using Checksums to Verify Downloads with Machine-to-Machine
In this tutorial users will learn how to verify downloaded files by generating checksums and comparing them to those provided by different endpoints in the M2M API.
Introduction to Landsat STAC Tutorial Introduction to Landsat STAC Tutorial
The Spatio Temporal Asset Catalog (STAC) family of specifications standardizes the way geospatial metadata is structured to better enable data querying. The United States Geological Survey (USGS) utilizes STAC to better enable the search and discovery of Landsat data by providing STAC metadata for every Landsat data product accessible through the Amazon Web Services (AWS) cloud platform...
Scaling Landsat Collection 2 Level 1 Data Scaling Landsat Collection 2 Level 1 Data
In this tutorial, we will use London, England, one of the brightest cities on Earth, to show users how to convert provided Level-1 Radiance products to TOA Radiance, Reflectance, and Brightness for the area. The tutorial will also show how to pull and parse the metadata file (MTL file) for a Landsat scene; the MTL file is used to obtain the necessary parameters for calculating Radiance
Introduction to Landsat Cloud Access Direct Requester Pays Introduction to Landsat Cloud Access Direct Requester Pays
This tutorial demonstrates how users can access Landsat data stored within the AWS Cloud environment using basic commands. Landsat data stored in the AWS Cloud is located within the U.S. West (Oregon) us-west-2 region in a Requester Pays Simple Storage Services (S3) bucket. Users interested in utilizing direct access to Landsat data stored in S3 are encouraged to visit the Requester Pays