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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: 2614

Integration of MODIS-derived metrics to assess interannual variability in snowpack, lake ice, and NDVI in southwest Alaska Integration of MODIS-derived metrics to assess interannual variability in snowpack, lake ice, and NDVI in southwest Alaska

Impacts of global climate change are expected to result in greater variation in the seasonality of snowpack, lake ice, and vegetation dynamics in southwest Alaska. All have wide-reaching physical and biological ecosystem effects in the region. We used Moderate Resolution Imaging Spectroradiometer (MODIS) calibrated radiance, snow cover extent, and vegetation index products for...
Authors
Bradley C. Reed, Michael E. Budde, Page Spencer, Amy E. Miller

Re-greening the Sahel: Farmer-led innovation in Burkina Faso and Niger Re-greening the Sahel: Farmer-led innovation in Burkina Faso and Niger

The Sahel—the belt of land that stretches across Africa on the southern edge of the Sahara—has always been a tough place to farm. Rainfall is low and droughts are frequent. The crust of hard soil is, at times, almost impermeable, and harsh winds threaten to sweep away everything in their path. Over the past three decades, however, hundreds of thousands of farmers in Burkina Faso and...
Authors
Chris Reij, Melinda Smale, G. Gray Tappan

Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands Integrated analysis of PALSAR/Radarsat-1 InSAR and ENVISAT altimeter data for mapping of absolute water level changes in Louisiana wetlands

Interferometric Synthetic Aperture Radar (InSAR) has been used to detect relative water level changes in wetlands. We developed an innovative method to integrate InSAR and satellite radar altimetry for measuring absolute or geocentric water level changes and applied the methodology to remote areas of swamp forest in coastal Louisiana. Coherence analysis of InSAR pairs suggested that the...
Authors
J.-W. Kim, Z. Lu, H. Lee, C. K. Shum, C.M. Swarzenski, T.W. Doyle, S.-H. Baek

Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern Louisiana Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern Louisiana

Using multi-temporal European Remote-sensing Satellites (ERS-1/-2) and Canadian Radar Satellite (RADARSAT-1) synthetic aperture radar (SAR) data over the Louisiana coastal zone, we characterize seasonal variations of radar backscat-tering according to vegetation type. Our main findings are as follows. First, ERS-1/-2 and RADARSAT-1 require careful radiometric calibration to perform multi...
Authors
Oh-Ig Kwoun, Z. Lu

Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota Seasonal movements and Home-range use by female pronghorns in sagebrush-steppe communities of western South Dakota

Knowledge of seasonal movements by pronghorns (Antilocapra americana) within the easternmost extension of sagebrush-steppe communities is limited. Current hypotheses regarding movement patterns suggest that pronghorns initiate seasonal movements in response to severe winter weather, snowfall patterns, spatial and temporal variation in forage abundance, and availability of water. From...
Authors
C.N. Jacques, J.A. Jenks, R. W. Klaver

Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model

Forest change is of great concern for land use decision makers and conservation communities. Quantitative and spatial forest change information is critical for addressing many pressing issues, including global climate change, carbon budgets, and sustainability. In this study, our analysis focuses on the differences in geospatial patterns and their changes between federal forests and...
Authors
Mingshi Li, Chengquan Huang, Zhiliang Zhu, Hua Shi, Heng Lu, Shikui Peng

Aggressive defensive behavior by free-ranging white-tailed deer Aggressive defensive behavior by free-ranging white-tailed deer

Maternal investment plays a critical role in neonate survival, and adults can improve survival of offspring by defending them against predators. However, limited information exists documenting ungulate aggression toward humans in defense of neonates. During captures of neonates in spring 2007 and 2008 in north-central South Dakota, we documented 24 aggressive encounters by adult female...
Authors
T.W. Grovenburg, J.A. Jenks, C.N. Jacques, R. W. Klaver, C. C. Swanson

Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol Developing consistent Landsat data sets for large area applications: the MRLC 2001 protocol

One of the major efforts in large area land cover mapping over the last two decades was the completion of two U.S. National Land Cover Data sets (NLCD), developed with nominal 1992 and 2001 Landsat imagery under the auspices of the MultiResolution Land Characteristics (MRLC) Consortium. Following the successful generation of NLCD 1992, a second generation MRLC initiative was launched...
Authors
G. Chander, Chengquan Huang, Limin Yang, Collin G. Homer, C. Larson

Integrating disparate lidar datasets for a regional storm tide inundation analysis of Hurricane Katrina Integrating disparate lidar datasets for a regional storm tide inundation analysis of Hurricane Katrina

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, Dean J. Tyler, D. Phil Turnipseed, K. Van Wilson, Michael J. Oimoen

Analysis of lidar elevation data for improved identification and delineation of lands vulnerable to sea-level rise Analysis of lidar elevation data for improved identification and delineation of lands vulnerable to sea-level rise

The importance of sea-level rise in shaping coastal landscapes is well recognized within the earth science community, but as with many natural hazards, communicating the risks associated with sea-level rise remains a challenge. Topography is a key parameter that influences many of the processes involved in coastal change, and thus, up-to-date, high-resolution, high-accuracy elevation...
Authors
Dean B. Gesch

Lysimetric Evaluation of Simplified Surface Energy Balance Approach in the Texas High Plains Lysimetric Evaluation of Simplified Surface Energy Balance Approach in the Texas High Plains

Numerous energy balance (EB) algorithms have been developed to make use of remote sensing data to estimate evapotranspiration (ET) regionally. However, most EB models are complex to use and efforts are being made to simplify procedures mainly through the scaling of reference ET. The Simplified Surface Energy Balance (SSEB) is one such method. This approach has never been evaluated using...
Authors
Gabriel B. Senay, P.H. Gowda, T.A. Howell, T.H. Marek

Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005 Large area scene selection interface (LASSI): Methodology of selecting landsat imagery for The Global Land Survey 2005

The Global Land Survey (GLS) 2005 is a cloud-free, orthorec-tified collection of Landsat imagery acquired during the 2004 to 2007 epoch intended to support global land-cover and ecological monitoring. Due to the numerous complexities in selecting imagery for the GLS2005, NASA and the U.S. Geological Survey (USGS) sponsored the development of an automated scene selection tool, the Large...
Authors
S. Franks, J. G. Masek, R.M.K. Headley, J. Gasch, T. Arvidson
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