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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: 2639

Identifying populations potentially exposed to agricultural pesticides using remote sensing and a Geographic Information System Identifying populations potentially exposed to agricultural pesticides using remote sensing and a Geographic Information System

Pesticides used in agriculture may cause adverse health effects among the population living near agricultural areas. However, identifying the populations most likely to be exposed is difficult. We conducted a feasibility study to determine whether satellite imagery could be used to reconstruct historical crop patterns. We used historical Farm Service Agency records as a source of ground...
Authors
Mary H. Ward, John R. Nuckols, Stephanie J. Weigel, Susan K. Maxwell, Kenneth P. Cantor, Ryan S. Miller

Follow-ons to the KidSAT/EarthKAM student remote sensing program Follow-ons to the KidSAT/EarthKAM student remote sensing program

The KidSAT/EarthKAM program is a NASA educational initiative that allows students to develop and operate a remote sensing space program. The first phase of the program consisted of a student developed camera that is flown on Space Shuttle missions in the nadir window. A network of students develop a series of image acquisition requests, based on approved science proposals, that are...
Authors
Grant R. Mah

Biodiversity data and information Biodiversity data and information

No abstract available.
Authors
C.P. Giri, S. Shrestha, T.W. Foresman, A. Singh

Combining accuracy assessment of land-cover maps with environmental monitoring programs Combining accuracy assessment of land-cover maps with environmental monitoring programs

A scientifically valid accuracy assessment of a large-area, land-cover map is expensive. Environmental monitoring programs offer a potential source of data to partially defray the cost of accuracy assessment while still maintaining the statistical validity. In this article, three general strategies for combining accuracy assessment and environmental monitoring protocols are described...
Authors
S.V. Stehman, R.L. Czaplewski, S.M. Nusser, L. Yang, Z. Zhu

Aseismic inflation of Westdahl volcano, Alaska, revealed by satellite radar interferometry Aseismic inflation of Westdahl volcano, Alaska, revealed by satellite radar interferometry

Westdahl volcano, located at the west end of Unimak Island in the central Aleutian volcanic arc, Alaska, is a broad shield that produced moderate-sized eruptions in 1964, 1978-79, and 1991-92. Satellite radar interferometry detected about 17 cm of volcano-wide inflation from September 1993 to October 1998. Multiple independent interferograms reveal that the deformation rate has not been...
Authors
Z. Lu, Charles Wicks, D. Dzurisin, W. Thatcher, J.T. Freymueller, S.R. McNutt, Dorte Mann

Synthetic aperture radar interferometry of Okmok volcano, Alaska: radar observations Synthetic aperture radar interferometry of Okmok volcano, Alaska: radar observations

ERS-1/ERS-2 synthetic aperture radar interferometry was used to study the 1997 eruption of Okmok volcano in Alaska. First, we derived an accurate digital elevation model (DEM) using a tandem ERS-1/ERS-2 image pair and the preexisting DEM. Second, by studying changes in interferometric coherence we found that the newly erupted lava lost radar coherence for 5-17 months after the eruption...
Authors
Zhong Lu, Dorte Mann, Jeffrey T. Freymueller, David Meyer

Studies of volcanoes of Alaska by satellite radar interferometry Studies of volcanoes of Alaska by satellite radar interferometry

Interferometric synthetic aperture radar (InSAR) has provided a new imaging geodesy technique to measure the deformation of volcanoes at tens-of-meter horizontal resolution with centimeter to subcentimeter vertical precision. The two-dimensional surface deformation data enables the construction of detailed numerical models allowing the study of magmatic and tectonic processes beneath...
Authors
Z. Lu, C. Wicks, D. Dzurisin, W. Thatcher, J. Power

Geographic patterns and dynamics of Alaskan climate interpolated from a sparse station record Geographic patterns and dynamics of Alaskan climate interpolated from a sparse station record

Data from a sparse network of climate stations in Alaska were interpolated to provide 1-km resolution maps of mean monthly temperature and precipitation-variables that are required at high spatial resolution for input into regional models of ecological processes and resource management. The interpolation model is based on thin-plate smoothing splines, which uses the spatial data along...
Authors
Michael D. Fleming, F. Stuart Chapin, W. Cramer, Gary L. Hufford, Mark C. Serreze

U.S. Geological Survey, remote sensing, and geoscience data: Using standards to serve us all U.S. Geological Survey, remote sensing, and geoscience data: Using standards to serve us all

The U.S. Geological Survey (USGS) advocates the use of standards with geosciences and remotely sensed data and metadata for its own purposes and those of its customers. In activities that range from archiving data to making a product, the incorporation of standards makes these functions repeatable and understandable. More important, when accepted standards are followed, data discovery...
Authors
Michael G. Benson, John Faundeen

Map data in support of forest management Map data in support of forest management

Now widely available and inexpensive, prepackaged map data are easy to use--and just as easy to use incorrectly. To select the proper scale and appropriate thematic attributes so that the data actually inform the project at hand, managers need to know the basics.
Authors
E. A. Fosnight, D. Greenlee

Characteristic length scale of input data in distributed models: implications for modeling grain size Characteristic length scale of input data in distributed models: implications for modeling grain size

The appropriate spatial scale for a distributed energy balance model was investigated by: (a) determining the scale of variability associated with the remotely sensed and GIS-generated model input data; and (b) examining the effects of input data spatial aggregation on model response. The semi-variogram and the characteristic length calculated from the spatial autocorrelation were used...
Authors
Guleid A. Artan, C. M. U. Neale, D. G. Tarboton
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