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Machine-to-Machine (M2M) Landsat-9 Search and Download

July 9, 2024

This tutorial is designed to guide users through metadata filtering for Landsat-9 satellite data within the Landsat 8-9 Operational Land Imager and Thermal Infrared Sensor Collection 2 Level-2 dataset. The chosen location for use is Albemarle Sound, a large estuarine body of water in northeastern North Carolina, United States. The emphasis on metadata filtering is crucial, especially when dealing with large Landsat datasets. The Landsat archives house vast amounts of data, and applying metadata filters becomes essential to streamline the selection process. Thus, this notebook focuses on filtering the available metadata to download Landsat-9 products within a user-defined area of interest (AOI).

Publication Year 2024
Title Machine-to-Machine (M2M) Landsat-9 Search and Download
DOI 10.5066/P13EUPKF
Authors Tonian (Contractor) R Robinson
Product Type Software Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Earth Resources Observation and Science (EROS) Center