February 11 will mark the 5th anniversary of the launch of Landsat 8!
Since 2013, over 1.1 million scenes have been acquired, adding to the Landsat archive which started almost 45 years ago, and continue to help support studies in agriculture, forest and water quality/use/management, natural disasters, and land change.
What are U.S. Landsat Analysis Ready Data (ARD)?
U.S. Landsat Analysis Ready Data (ARD) are pre-packaged and pre-processed bundles of Landsat data products that make the Landsat archive more accessible and easier to analyze, and reduce the amount of time users spend on data processing for time-series analysis.
ARD contains Level-2 products derived from Landsat Collections Level-1 scenes. ARD are tiled, georegistered, top of atmosphere, and atmospherically corrected products defined in a common projection for immediate use in monitoring and assessing landscape change.
Learn more: U.S. Landsat ARD
Related
What Landsat products are available?
What are Landsat Collections?
What are Landsat Collection Tiers?
Can Landsat Collection Real-Time scenes be used in my research?
What are LandsatLook images?
How do I search for and download Landsat data?
What are the band designations for the Landsat satellites?
February 11 will mark the 5th anniversary of the launch of Landsat 8!
Since 2013, over 1.1 million scenes have been acquired, adding to the Landsat archive which started almost 45 years ago, and continue to help support studies in agriculture, forest and water quality/use/management, natural disasters, and land change.
The U.S. Geological Survey (USGS) has improved Landsat data quality and usability through the creation of Analysis Ready Data (ARD) for the conterminous United States, Alaska, and Hawaii. Landsat ARD greatly reduces the preparatory work currently required to do time-series analysis for understanding landscape change for operational and science users.
The U.S. Geological Survey (USGS) has improved Landsat data quality and usability through the creation of Analysis Ready Data (ARD) for the conterminous United States, Alaska, and Hawaii. Landsat ARD greatly reduces the preparatory work currently required to do time-series analysis for understanding landscape change for operational and science users.
U.S. Landsat Analysis Ready Data
Landsat Collections
National Satellite Land Remote Sensing Data Archive
Landsat benefiting society for fifty years
Landsat—Earth observation satellites
Related
What Landsat products are available?
What are Landsat Collections?
What are Landsat Collection Tiers?
Can Landsat Collection Real-Time scenes be used in my research?
What are LandsatLook images?
How do I search for and download Landsat data?
What are the band designations for the Landsat satellites?
February 11 will mark the 5th anniversary of the launch of Landsat 8!
Since 2013, over 1.1 million scenes have been acquired, adding to the Landsat archive which started almost 45 years ago, and continue to help support studies in agriculture, forest and water quality/use/management, natural disasters, and land change.
February 11 will mark the 5th anniversary of the launch of Landsat 8!
Since 2013, over 1.1 million scenes have been acquired, adding to the Landsat archive which started almost 45 years ago, and continue to help support studies in agriculture, forest and water quality/use/management, natural disasters, and land change.
The U.S. Geological Survey (USGS) has improved Landsat data quality and usability through the creation of Analysis Ready Data (ARD) for the conterminous United States, Alaska, and Hawaii. Landsat ARD greatly reduces the preparatory work currently required to do time-series analysis for understanding landscape change for operational and science users.
The U.S. Geological Survey (USGS) has improved Landsat data quality and usability through the creation of Analysis Ready Data (ARD) for the conterminous United States, Alaska, and Hawaii. Landsat ARD greatly reduces the preparatory work currently required to do time-series analysis for understanding landscape change for operational and science users.