EROS CalVal Center of Excellence

Publications

Filter Total Items: 128
Publication Thumbnail
Year Published: 2020

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...

Rengarajan, Rajagopalan; Storey, James C.; Choate, Michael

Publication Thumbnail
Year Published: 2020

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...

Rengarajan, R.; Choate, Michael; Storey, James C.; Franks, Shannon; Micijevic, Esad

Publication Thumbnail
Year Published: 2020

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...

Ramaseri Chandra, Shankar N.; Christopherson, Jon B.; Casey, Kimberly A.
Ramaseri Chandra, S.N., Christopherson, J.B., and Casey, K.A., 2020, 2020 Joint Agency Commercial Imagery Evaluation—Remote sensing satellite compendium: U.S. Geological Survey Circular 1468 (ver. 1.1, October 2020), 253 p., https://doi.org/10.3133/cir1468. [Supersedes USGS Circular 1455.]

Publication Thumbnail
Year Published: 2020

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...

Helder, Dennis; Doelling, David; Bhatt, Rajendra; Choi, Taeyoung; Barsi, Julia A.

Publication Thumbnail
Year Published: 2019

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...

Kim, Minsu; Park, Seonkyung; Danielson, Jeffrey J.; Irwin, Jeffrey; Stensaas, Gregory L.; Stoker, Jason M.; Nimetz, Joshua

Publication Thumbnail
Year Published: 2019

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...

Anderson, Cody; Labahn, Steven; Helder, Dennis; Stensaas, Gregory L.; Engebretson, Christopher; Crawford, Christopher J.; Jenkerson, Calli B.; Barnes, Christopher

Publication Thumbnail
Year Published: 2019

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...

Choate, Michael; Storey, James C.; Rengarajan, R.; Choate, Michael J.

Publication Thumbnail
Year Published: 2019

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...

Christopherson, Jon B.; Ramaseri Chandra, Shankar N.; Quanbeck, Joel Q.
Christopherson, J.B., Ramaseri Chandra, S.N., and Quanbeck, J.Q., 2019, 2019 Joint Agency Commercial Imagery Evaluation—Land remote sensing satellite compendium: U.S. Geological Survey Circular 1455, 191 p., https://doi.org/10.3133/cir1455.

Publication Thumbnail
Year Published: 2019

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...

Wu, Zhuoting; Snyder, Gregory; Vadnais, Carolyn M.; Arora, Rohit; Babcock, Michael; Stensaas, Gregory L.; Doucette, Peter; Newman, Timothy

Publication Thumbnail
Year Published: 2018

Observations and recommendations for the calibration of landsat 8 OLI and sentinel 2 MSI for improved data interoperability

One of the biggest changes in the world of optical remote sensing over the last several years is the sheer increase in number of sensors that are imaging the Earth in moderate to high spatial resolution. With respect to calibration of these sensors, they are broadly classified into two types: government systems and commercial systems. Because of...

Helder, Dennis; Markham, Brian; Morfitt, Ron; Storey, J.; Barsi, Julia A.; Gascon, Ferran; Clerc, Sebastian; LaFrance, Bruno; Masek, Jeffrey; Roy, David P.; Lewis, Adam; Pahlevan, Nima

Publication Thumbnail
Year Published: 2017

Radiometric characterization of Landsat Collection 1 products

Landsat data in the U.S. Geological Survey (USGS) archive are being reprocessed to generate a tiered collection of consistently geolocated and radiometrically calibrated products that are suitable for time series analyses. With the implementation of the collection management, no major updates will be made to calibration of the Landsat sensors...

Micijevic, Esad; Haque, Md. Obaidul; Mishra, Nischal

Publication Thumbnail
Year Published: 2017

Landsat-8 TIRS thermal radiometric calibration status

The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m2 sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability...

Barsi, Julia A.; Markham, Brian L.; Montanaro, Matthew; Gerace, Aaron; Hook, Simon; Schott, John R.; Raqueno, Nina G.; Morfitt, Ron