Software

In this tutorial, we demonstrate the process of accessing Landsat data files through the STAC API and the AWS command-line tools, specifically the requester-pays functionality. Users can define their spatial and temporal parameters to query and download multiple Landsat data band files.

This tutorial will introduces the basics of selecting a subset of bands over a set area of interest (AOI) and time span, loading the desired cloud optimized geotiffs (COGs) into a Jupyter Notebook directly from the cloud, cropping the bands and creating a natural composite.

This tutorial demonstrates how to query using metadata specific to the various collections of Landsat data. We use the following Machine-to-Machine API filters: metadataValue, metadataBetween, metadataAnd, and metadataOr. Users can view queryable metadata after following one of these steps (1) Submitting a dataset-filters query and listing the results (2) Submitting a search on Earth...

This notebook shows how to download Landsat Collection 2 bands, bundles, and band groups using the M2M API. In this context, "bands" refer to individual band files in TIF format, "bundles" include all files for a product(s) as .tar files, and "band groups" include downloading all files for a given product(s) as individual files (unpacked from the .tar file within a bundle). The area of...

Landsat Quality Assessment (QA) bands provide helpful information for evaluating the overall usefulness of individual pixels. Each pixel in the QA band contains an integer value that represents bit-packed combinations of surface, atmospheric, and sensor conditions that can affect pixel quality. The Landsat QA Toolbox will allow users to extract those bits of QA information on ArcPro and...