Publications
Filter Total Items: 140
Landsat collection 2 Landsat collection 2
Landsat Collections ensure that all Landsat Level-1 data are consistently calibrated and processed and retain traceability of data quality provenance. Landsat Collection 2 introduces improvements that harness recent advancements in data processing, algorithm development, data access, and distribution capabilities. Collection 2 includes Landsat Level-1 data for all sensors since 1972 and...
Authors
DLR Earth Sensing Imaging Spectrometer (DESIS) level 1 product evaluation using RadCalNet measurements DLR Earth Sensing Imaging Spectrometer (DESIS) level 1 product evaluation using RadCalNet measurements
The DLR Earth Sensing Imaging Spectrometer (DESIS) is the first hyperspectral imaging spectrometer installed in the Multi-User System for Earth Sensing (MUSES) on the International Space Station (ISS) for acquiring routine science grade images from orbit. It was launched on 29 June 2018 and integrated into MUSES. DESIS measures energy in the spectral range of 400 to 1000 nm with high...
Authors
Mahesh Shrestha, Dennis Helder, Jon Christopherson
Maine and Landsat Maine and Landsat
Maine is a place of rocky coastlines, of rich maritime history symbolized by lighthouses dotting the ocean bluffs, and of wondrous nature areas like the granite and spruce islands of Acadia National Park. But Maine is a place of changes, too. Climate variability has brought the state heavier and more frequent rainstorms. Summers are hotter and drier. With sea levels rising, severe storms
Authors
Minnesota and Landsat Minnesota and Landsat
Landsat land-imaging satellites underpin public and private sector decisions in the Minnesota and across the Nation for effective adaptation to changing landscapes. Those decisions often lead to enhanced agricultural productivity, smart urban development, and sustainable forest management. Landsat also enables more accurate inland lake water-quality monitoring, increased disaster...
Authors
Landsat Collection 2 geometric calibration updates Landsat Collection 2 geometric calibration updates
The U.S. Geological Survey (USGS) changed the management and delivery of Landsat products to the public in its archive through the implementation of Collections. The Collections process ensures consistent data quality through time and across all the Landsat sensors with a few modifications to the metadata. The consistent data products from Collections are more conducive for applications...
Authors
R. Rengarajan, Michael J. Choate, James C. Storey, Shannon Franks, Esad Micijevic
2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium 2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium
The Joint Agency Commercial Imagery Evaluation (JACIE) is a collaboration between five Federal agencies that are major users and producers of satellite land remote sensing data. In recent years, the JACIE group has observed ever-increasing numbers of remote sensing satellites being launched. This rapidly growing wave of new systems creates a need for a single reference for land remote...
Authors
Shankar N. Ramaseri Chandra, Jon Christopherson, Kimberly A. Casey
Economic valuation of Landsat imagery Economic valuation of Landsat imagery
Landsat satellites have been operating since 1972, providing a continuous global record of the Earth’s land surface. The imagery is currently available at no cost through the U.S. Geological Survey (USGS). A previous USGS study estimated that Landsat imagery provided users an annual benefit of $2.19 billion in 2011, with U.S. users accounting for $1.79 billion of those benefits. That...
Authors
Crista L. Straub, Stephen R. Koontz, John B. Loomis
2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium 2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium
The Joint Agency Commercial Imagery Evaluation (JACIE) is a collaboration between five Federal agencies that are major users and producers of satellite land remote sensing data. In recent years, the JACIE group has observed ever-increasing numbers of remote sensing satellites being launched. This rapidly growing wave of new systems creates a need for a single reference for land remote...
Authors
Jon Christopherson, Shankar N. Ramaseri Chandra, Joel Q. Quanbeck
User needs for future Landsat missions User needs for future Landsat missions
Landsat satellites have been operating since 1972, providing the longest continuous observation record of the Earth’s land surface. Over the past half century, the Landsat user community has grown exponentially, encompassing more diverse and evolving scientific research and operational uses. Understanding current and future user needs is crucial to informing the design of Landsat...
Authors
Zhuoting Wu, Gregory Snyder, Carolyn M. Vadnais, Rohit Arora, Michael Babcock, Gregory L. Stensaas, Peter Doucette, Timothy Newman
Landsat 9 Landsat 9
Landsat 9 is a partnership between the National Aeronautics and Space Administration and the U.S. Geological Survey that will continue the Landsat program’s critical role of repeat global observations for monitoring, understanding, and managing Earth’s natural resources. Since 1972, Landsat data have provided a unique resource for those who work in agriculture, geology, forestry...
Authors
Landsat: The cornerstone of global land imaging Landsat: The cornerstone of global land imaging
Since 1972, the joint NASA/ U.S. Geological Survey Landsat series of Earth Observation satellites have provided an uninterrupted space-based data record of the Earth’s land surface to help advance scientific research towards the understanding of our planet and the environmental impact of its inhabitants. Early Landsat satellites offered a wealth of new data that improved mapping of...
Authors
Ginger Butcher, Christopher Barnes, Linda Owen
Analysis ready data: Enabling analysis of the Landsat archive Analysis ready data: Enabling analysis of the Landsat archive
Data that have been processed to allow analysis with a minimum of additional user effort are often referred to as Analysis Ready Data (ARD). The ability to perform large scale Landsat analysis relies on the ability to access observations that are geometrically and radiometrically consistent, and have had non-target features (clouds) and poor quality observations flagged so that they can...
Authors
John L. Dwyer, David P. Roy, Brian Sauer, Calli B. Jenkerson, Hankui K. Zhang, Leo Lymburner