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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: 2615

State-parameter estimation of ecosystem models using a smoothed ensemble Kalman filter State-parameter estimation of ecosystem models using a smoothed ensemble Kalman filter

Much of the effort in data assimilation methods for carbon dynamics analysis has focused on estimating optimal values for either model parameters or state variables. The main weakness of estimating parameter values alone (i.e., without considering state variables) is that all errors from input, output, and model structure are attributed to model parameter uncertainties. On the other hand...
Authors
M. Chen, Shuguang Liu, Larry L. Tieszen

Dealing with uncertainty and sensitivity issues in process-based models of carbon and nitrogen cycles in northern forest ecosystems Dealing with uncertainty and sensitivity issues in process-based models of carbon and nitrogen cycles in northern forest ecosystems

Many process-based models on carbon (C) and nitrogen (N) cycles have been developed for northern forest ecosystems. These models are widely used to evaluate the long-term decisions in forest management dealing with effects like particulate pollution, productivity and climate change. Regarding climate change, one of the key questions that have sensitive political implications is whether...
Authors
Guy R. Larocque, Jagtar S. Bhatti, A.M. Gordon, N. Luckai, Jinxun Liu, Shuguang Liu, P.A. Arp, C.F. Zhang, A Komarov, P. Grabarnik, M. Wattenbach, C. Peng, Jianfeng Sun, Thomas White

CLICK: The new USGS center for LIDAR information coordination and knowledge CLICK: The new USGS center for LIDAR information coordination and knowledge

Elevation data is rapidly becoming an important tool for the visualization and analysis of geographic information. The creation and display of three-dimensional models representing bare earth, vegetation, and structures have become major requirements for geographic research in the past few years. Light Detection and Ranging (lidar) has been increasingly accepted as an effective and...
Authors
Jason M. Stoker, Susan K. Greenlee, Dean B. Gesch, Jordan C. Menig

New products from the shuttle radar topography mission New products from the shuttle radar topography mission

New data products with broad applicability to the Earth sciences are now available from the Shuttle Radar Topography Mission (SRTM). SRTM, a joint project of the National Geospatial-Intelligence Agency (NGA) and NASA, flew aboard the Space Shuttle Endeavour on an 11-day mission in February 2000 with the goal of collecting a near-global data set of high-resolution elevation data [Fan and...
Authors
Dean B. Gesch, Tom Farr, James Slater, Jan-Peter Muller, Sally Cook

Evaluating genetic viability of pronghorn in Wind Cave National Park Evaluating genetic viability of pronghorn in Wind Cave National Park

The pronghorn (Antilocapra americana) was reintroduced into Wind Cave National Park, South Dakota, in 1914 and thus, has inhabited the Park for almost a century. A decline in the population has raised concern for the continued existence of pronghorn inside Wind Cave National Park. Historically, pronghorn numbers reached greater than 300 individuals in the 1960’s but declined to about 30
Authors
Jonathan A. Jenks, Christopher N. Jacques, Jaret D. Sievers, Robert W. Klaver, R. Terry Bowyer, Daniel E. Roddy

Intra-seasonal NDVI change projections in semi-arid Africa Intra-seasonal NDVI change projections in semi-arid Africa

Early warning systems (EWS) tend to focus on the identification of slow onset disasters such famine and epidemic disease. Since hazardous environmental conditions often precede disastrous outcomes by many months, effective monitoring via satellite and in situ observations can successfully guide mitigation activities. Accurate short term forecasts of NDVI could increase lead times, making...
Authors
Christopher C. Funk, Molly E. Brown

USGS Fire Science: Fire Danger Monitoring and Forecasting USGS Fire Science: Fire Danger Monitoring and Forecasting

The U.S. Geological Survey (USGS) has advanced the use of moderate-resolution satellite data in a decision support system for assessing national fire potential. Weekly updated digital images of the Normalized Difference Vegetation Index (NDVI), based on data acquired at 1-kilometer (km) resolution (about 0.6 mi), have been used for the past 19 years as a means to assess live vegetation...
Authors
Jeff Eidenshink
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