Publications
Below is a list of the most recent EROS peer-reviewed scientific papers, reports, fact sheets, and other publications. You can search all our publication holdings by type, topic, year, and order.
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Filter Total Items: 2456
Inundation exposure assessment for Majuro Atoll, Republic of the Marshall Islands using a high-accuracy digital elevation model
Majuro Atoll in the central Pacific has high coastal vulnerability due to low-lying islands, rising sea level, high wave events, eroding shorelines, a dense population center, and limited freshwater resources. Land elevation is the primary geophysical variable that determines exposure to inundation in coastal settings. Accordingly, coastal elevation data (with accuracy information) are critical fo
Authors
Dean B. Gesch, Monica Palaseanu-Lovejoy, Jeffrey J. Danielson, Charles Fletcher, Maria Kottermair, Matthew Barbee, Andrea Jalandoni
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
Landsat surface reflectance validation site selection
An investigation was conducted to determine optimal locations within the continental United States for insitu measurements to validate the U.S. Landsat Analysis Ready Data (ARD) Surface Reflectance product. Site assessment involved analysis of aerosol optical depth, precipitable water vapor, land cover, cloud cover, and elevation models. Nineteen sites were selected for further month-by-month rank
Authors
Emily M. Maddox, Landon Douglas Zavesky
Earth as art 6
Earth has a stunning variety of landscapes. The colors, patterns, textures, and shapes all make for intriguing artwork as seen from the perspective of space.Earth As Art shows not only what satellites capture in the visible wavelengths of light you and I can see, but also what’s hiding in the invisible wavelengths that Landsat sensors can detect in the infrared part of the electromagnetic spectrum
Authors
Using out-of-sample yield forecast experiments to evaluate which earth observation products best indicate end of season maize yields
In East Africa, accurate grain yield predictions can help save lives and protect livelihoods. Regional grain yield forecasts can inform decisions regarding the availability and prices of key staples, food aid, and large humanitarian responses. Here, we use earth observation (EO) products to develop and evaluate subnational grain yield forecasts for 56 regions located in two severely food insecure
Authors
Frank Davenport, Laura Harrison, Shraddhanand Shukla, Gregory Husak, Chris Funk, Amy McNally
Validating a landsat time-series of fractional component cover across western U.S. Rangelands
Western U.S. rangelands have been quantified as six fractional cover (0%–100%) components
over the Landsat archive (1985–2018) at a 30 m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. Here, we used field data collected concurrently with high-resolution satellite (HRS) images over multiple locations (n = 42) and
Authors
Matthew B. Rigge, Collin G. Homer, Hua Shi, Debra K. Meyer
Overall methodology design for the United States National Land Cover Database 2016 products
The National Land Cover Database (NLCD) 2016 provides a suite of data products, including land cover and land cover change of the conterminous United States from 2001 to 2016, at two- to three-year intervals. The development of this product is part of an effort to meet the growing demand for longer temporal duration and more frequent, accurate, and consistent land cover and change information. To
Authors
Suming Jin, Collin Homer, Limin Yang, Patrick Danielson, Jon Dewitz, Congcong Li, Zhe Zhu, George Z. Xian, Danny Howard
On the use of indices to study extreme precipitation on sub-daily and daily timescales
While there are obstacles to the exchange of long-term high temporal resolution precipitation data, there have been few barriers to the exchange of so-called ‘indices’ which are derived from daily and sub-daily data and measure aspects of precipitation frequency, duration and intensity that could be used for the study of extremes. This paper outlines the history of the rationale and use of these i
Authors
Lisa Alexander, Hayley Fowler, Margot Bador, Ali Behrangi, Markus G. Donat, Robert Dunn, Chris Funk, James Goldie, Elizabeth Lewis, Marine Roge, Sonia I Seneviratne, V Vengupal
Assessing North American multimodel ensemble (NMME) seasonal forecast skill to assist in the early warning of hydrometeorological extremes over East Africa
The skill of North American multimodel ensemble (NMME) seasonal forecasts in East Africa (EA), which encompasses one of the most food and water insecure areas of the world, is evaluated using deterministic, categorical, and probabilistic evaluation methods. The skill is estimated for all three primary growing seasons: March–May (MAM), July–September (JAS), and October–December (OND). It is found t
Authors
Shraddhanand Shukla, Jason B. Roberts, Hoell. Andrew, Chris Funk, Franklin R. Robertson, Benjamin Kirtmann
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
Authors
Cody Anderson, Steven Labahn, Dennis Helder, Gregory L. Stensaas, Christopher Engebretson, Christopher J. Crawford, Calli B. Jenkerson, Christopher Barnes