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: 2646
Lidar base specification Lidar base specification
In late 2009, a $14.3 million allocation from the American Recovery and Reinvestment Act (ARRA) for new light detection and ranging (lidar) elevation data acquisition prompted the U.S. Geological Survey (USGS) National Geospatial Program (NGP) to develop a common minimum specification for all lidar data acquired for The National Map. Released as a working draft in 2010 and formally...
Authors
Hans Karl Heidemann
LiDAR - An emerging tool for geological applications LiDAR - An emerging tool for geological applications
Over the past five to ten years the use and applicability of light detection and ranging (LiDAR) technology has increased dramatically. As a result, more and more LiDAR data now are being collected across the country for a wide range of applications, and LiDAR currently is the technology of choice for high resolution terrain model creation, 3-D city and infrastructure modeling, forestry...
Authors
Jason M. Stoker
Exceptional warming in the Western Pacific-Indian Ocean warm pool has contributed to more frequent droughts in eastern Africa Exceptional warming in the Western Pacific-Indian Ocean warm pool has contributed to more frequent droughts in eastern Africa
In 2011, East Africa faced a tragic food crisis that led to famine conditions in parts of Somalia and severe food shortages in parts of Ethiopia and Somalia. While many nonclimatic factors contributed to this crisis (high global food prices, political instability, and chronic poverty, among others) failed rains in both the boreal winter of 2010/11 and the boreal spring of 2011 played a...
Authors
Christopher C. Funk
Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin Modeling of land use and reservoir effects on nonpoint source pollution in a highly agricultural basin
Nonpoint source (NPS) pollution is tightly linked to land use activities that determine the sources and magnitudes of pollutant loadings to stream water. The pollutant loads may also be alleviated within reservoirs because of the physical interception resulting from changed hydrological regimes and other biochemical processes. It is important but challenging to assess the NPS pollution...
Authors
Yiping Wu, Shu-Guang Liu
The General Ensemble Biogeochemical Modeling System (GEMS) and its applications to agricultural systems in the United States: Chapter 18 The General Ensemble Biogeochemical Modeling System (GEMS) and its applications to agricultural systems in the United States: Chapter 18
The General Ensemble Biogeochemical Modeling System (GEMS) was es in individual models, it uses multiple site-scale biogeochemical models to perform model simulations. Second, it adopts Monte Carlo ensemble simulations of each simulation unit (one site/pixel or group of sites/pixels with similar biophysical conditions) to incorporate uncertainties and variability (as measured by...
Authors
Shuguang Liu, Zhengxi Tan, Mingshi Chen, Jinxun Liu, Anne Wein, Zhengpeng Li, Shengli Huang, Jennifer Oeding, Claudia Young, Shashi B. Verma, Andrew E. Suyker, Stephen P. Faulkner
Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in Senegal Sensitivity analysis of the GEMS soil organic carbon model to land cover land use classification uncertainties under different climate scenarios in Senegal
Spatially explicit land cover land use (LCLU) change information is needed to drive biogeochemical models that simulate soil organic carbon (SOC) dynamics. Such information is increasingly being mapped using remotely sensed satellite data with classification schemes and uncertainties constrained by the sensing system, classification algorithms and land cover schemes. In this study...
Authors
A.M. Dieye, David P. Roy, N.P. Hanan, S. Liu, M. Hansen, A. Toure
ASTER satellite observations for international disaster management ASTER satellite observations for international disaster management
When lives are threatened or lost due to catastrophic disasters, and when massive financial impacts are experienced, international emergency response teams rapidly mobilize to provide urgently required support. Satellite observations of affected areas often provide essential insight into the magnitude and details of the impacts. The large cost and high complexity of developing and...
Authors
K. A. Duda, M. Abrams
Climate change and human health: Spatial modeling of water availability, malnutrition, and livelihoods in Mali, Africa Climate change and human health: Spatial modeling of water availability, malnutrition, and livelihoods in Mali, Africa
This study develops a novel approach for projecting climate trends in the Sahel in relation to shifting livelihood zones and health outcomes. Focusing on Mali, we explore baseline relationships between temperature, precipitation, livelihood, and malnutrition in 407 Demographic and Health Survey (DHS) clusters with a total of 14,238 children, resulting in a thorough spatial analysis of...
Authors
Marta M. Jankowska, David Lopez-Carr, Chris Funk, Gregory J. Husak, Z.A. Chafe
Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA Crop classification modelling using remote sensing and environmental data in the Greater Platte River Basin, USA
With an ever expanding population, potential climate variability and an increasing demand for agriculture-based alternative fuels, accurate agricultural land-cover classification for specific crops and their spatial distributions are becoming critical to researchers, policymakers, land managers and farmers. It is important to ensure the sustainability of these and other land uses and to...
Authors
Daniel M. Howard, Bruce K. Wylie, Larry L. Tieszen
Using regional-scale pre- and post Hurricane Katrina lidar for monitoring and modeling: Chapter 30 Using regional-scale pre- and post Hurricane Katrina lidar for monitoring and modeling: Chapter 30
Hurricane Katrina was one of the largest natural disasters in U.S. history. Due to the sheer size of the affected areas, an unprecedented regional analysis at very high resolution and accuracy was needed to properly quantify and understand the effects of the hurricane and the storm tide. Many disparate sources of lidar data were acquired and processed for varying environmental reasons by...
Authors
Jason M. Stoker, D. Phil Turnipseed, Kenneth V. Wilson
Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin Bias-adjusted satellite-based rainfall estimates for predicting floods: Narayani Basin
In Nepal, as the spatial distribution of rain gauges is not sufficient to provide detailed perspective on the highly varied spatial nature of rainfall, satellite-based rainfall estimates provides the opportunity for timely estimation. This paper presents the flood prediction of Narayani Basin at the Devghat hydrometric station (32 000 km2) using bias-adjusted satellite rainfall estimates...
Authors
Guleid A. Artan, S.A. Tokar, D.K. Gautam, S.R. Bajracharya, M.S. Shrestha
Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site‐level synthesis Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site‐level synthesis
[1] Ecosystem models are important tools for diagnosing the carbon cycle and projecting its behavior across space and time. Despite the fact that ecosystems respond to drivers at multiple time scales, most assessments of model performance do not discriminate different time scales. Spectral methods, such as wavelet analyses, present an alternative approach that enables the identification...
Authors
Michael C. Dietze, Rodrigo Vargas, Andrew D. Richardson, Paul C. Stoy, Ryan Anderson, M. A. Arain, I. Baker, T. Andrew Black, Jing M. Chen, Philippe Ciais, Lawrence B. Flanagan, Christopher M. Gough, Robert Grant, David Hollinger, R. C. Izaurralde, C.J. Kucharik, P. Lafleur, Shuguang Liu, E. Lokupitiya, Y. Luo, J.W. Munger, Changhui Peng, Benjamin Poulter, David T. Price, D. Ricciuto, William J. Riley, A. Sahoo, Kevin Schaefer, Andrew E. Suyker, Hanqin Tian, Christina Tonitto, Hans Verbeeck, Shashi B. Verma, W. Wang, Ensheng Weng