Publications
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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 global Lev
Authors
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 spatial and s
Authors
Mahesh Shrestha, Dennis Helder, Jon Christopherson
The new Landsat Collection-2 Digital Elevation Model
The Landsat Collection-2 distribution introduces a new global Digital Elevation Model (DEM) for scene orthorectification. The new global DEM is a composite of the latest and most accurate freely available DEM sources and will include reprocessed Shuttle Radar Topographic Mission (SRTM) data (called NASADEM), high-resolution stereo optical data (ArcticDEM), a new National Elevation Dataset (NED) an
Authors
Shannon Franks, James C. Storey, Rajagopalan Rengarajan
Harmonizing the Landsat ground reference with the Sentinel-2 Global Reference Image using space-based bundle adjustment
There is an ever-increasing need to use accurate and consistent geometric ground reference in the processing of remotely sensed data products as it reduces the burden on the end-users to account for the differences between the data products from different missions. In this regard, United States Geological Survey (USGS) initiated an effort to harmonize the Landsat ground reference with the Sentinel
Authors
Rajagopalan Rengarajan, James C. Storey, Michael J. Choate
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 such as ti
Authors
R. Rengarajan, Michael J. Choate, James C. Storey, Shannon Franks, Esad Micijevic
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 sensing sate
Authors
Shankar N. Ramaseri Chandra, Jon Christopherson, Kimberly A. Casey
Landsat 9 mission update and status
Landsat 9 is currently undergoing testing at the integrated observatory level in preparation for launch from Vandenberg Air Force Base in 2021. Landsat 9 will replace Landsat 7 in orbit, 8 days out of phase with Landsat 8. Landsat 9 is largely a copy of Landsat 8 in terms of instrumentation, with an Operational Land Imager (OLI), model #2 and a Thermal Infrared Sensor (TIRS), model #2. The TIRS-2
Authors
Brian Markham, Del Jenstrom, Steven Pszcolka, Vicki Dulski, Jason Hair, Joel McCorkel, Geir Kvaran, Kurtis Thome, Matthew Montanaro, Jeffery Pedelty, Cody Anderson, Michael J. Choate, Julia Barsi, Ed Kaita, Jeffery Miller
Calibrating geosynchronous and polar orbiting satellites: Sharing best practices
Earth remote sensing optical satellite systems are often divided into two categories—geosynchronous and sun-synchronous. Geosynchronous systems essentially rotate with the Earth and continuously observe the same region of the Earth. Sun-synchronous systems are generally in a polar orbit and view differing regions of the Earth at the same local time. Although similar in instrument design, there are
Authors
Dennis Helder, David Doelling, Rajendra Bhatt, Taeyoung Choi, Julia A. Barsi
Observations and recommendations for coordinated calibration activities of government and commercial optical satellite systems
One of the biggest changes in the world of optical remote sensing over the last several years is the sheer increase in the number of sensors that are imaging the Earth in moderate to high spatial resolution. With respect to the calibration of these sensors, they are broadly classified into two types, namely government systems and commercial systems. Because of the differences in the design and mis
Authors
Dennis Helder, Cody Anderson, Keith Beckett, Rasmus Houborg, Ignacio Zuleta, Valentina Boccia, Sebastian Clerc, Michele Kuester, Brian Markham, M. Pagnutti
General external uncertainty models of three-plane intersection point for 3D absolute accuracy assessment of lidar point cloud
The traditional practice to assess accuracy in lidar data involves calculating RMSEz (root mean square error of the vertical component). Accuracy assessment of lidar point clouds in full 3D (dimension) is not routinely performed. The main challenge in assessing accuracy in full 3D is how to identify a conjugate point of a ground-surveyed checkpoint in the lidar point cloud with the smallest possib
Authors
Minsu Kim, Seonkyung Park, Jeffrey J. Danielson, Jeffrey Irwin, Gregory L. Stensaas, Jason M. Stoker, Joshua Nimetz
The U. S. Geological Survey’s approach to analysis ready data
Analysis Ready Data (ARD) is a recent concept in Earth observing remote sensing which encompasses many different initiatives by individual imagery providers and collaborative international organizations working towards easing/minimizing data preprocessing required by users. This allows users to spend more time on analysis and less time on downloading, formatting, and ingesting. The U. S. Geologica
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Cody Anderson, Steven Labahn, Dennis Helder, Gregory L. Stensaas, Christopher Engebretson, Christopher J. Crawford, Calli B. Jenkerson, Christopher Barnes
Bundle adjustment using space based triangulation method for improving the Landsat global ground reference
There is an ever-increasing interest and need for accurate geo-registration of remotely sensed data products to a common global geometric reference. Although the geo-registration has improved significantly in the last decade, the lack of an accurate global ground reference dataset
poses serious issues for data providers seeking to make geometrically stackable analysis ready data. The existing Glob
Authors
James C. Storey, R. Rengarajan, Michael J. Choate