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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: 2629

Changes in vegetation and grazing capacity following honey mesquite control Changes in vegetation and grazing capacity following honey mesquite control

Honey mesquite kill and suppression, vegetation response, and changes in grazing use and capacity were evaluated following brush control in north-central Texas. Tree grubbing was most effective for eliminating honey mesquite, but because of soil and plant damage the treatment did not increase grazing capacity or improve range condition compared to nontreated rangeland. Aerial application...
Authors
Kirk C. McDaniel, John H. Brock, Robert H. Haas

The availability of conventional forms of remotely sensed data The availability of conventional forms of remotely sensed data

For decades Federal and State agencies have been collecting aerial photographs of various film types and scales over parts of the United States. More recently, worldwide Earth resources data acquired by orbiting satellites have inundated the remote sensing community. Determining the types of remotely sensed data that are publicly available can be confusing to the land-resource manager...
Authors
James A. Sturdevant, Thomas M. Holm

Characterization of tropospheric desert aerosols at solar wavelengths by multispectral radiometry from Landsat Characterization of tropospheric desert aerosols at solar wavelengths by multispectral radiometry from Landsat

Characteristics of tropospheric desert aerosols are derived by comparing nadir spectral reflectivities computed from the radiative transfer models with reflectivities measured from Landsat. Over the ocean, reflectivities are compared, but over land the comparison is carried out by determining the ratios of the nadir reflectivity of the surface-atmosphere system over heavy aerosol...
Authors
Joseph Otterman, R. S. Fraser, O. P. Bahethi

Arizona Vegetation Resource Inventory (AVRI) accuracy assessment Arizona Vegetation Resource Inventory (AVRI) accuracy assessment

A quantitative accuracy assessment was performed for the vegetation classification map produced as part of the Arizona Vegetation Resource Inventory (AVRI) project. This project was a cooperative effort between the Bureau of Land Management (BLM) and the Earth Resources Observation Systems (EROS) Data Center. The objective of the accuracy assessment was to estimate (with a precision of...
Authors
John Szajgin, L. R. Pettinger, D.S. Linden, D.O. Ohlen

Applications of Landsat imagery to problems of petroleum exploration in Qaidam Basin, China Applications of Landsat imagery to problems of petroleum exploration in Qaidam Basin, China

Tertiary and Quaternary nonmarine, petroleum-bearing sedimentary rocks in the Qaidam basin of remote western China have been extensively deformed by compressive forces. These forces created many folds which are current targets of Chinese exploration programs. Manual techniques of image analysis and interpretation were applied to computer-enhanced Landsat images of the western part of the...
Authors
G. B. Bailey, P. D. Anderson

Digital classification of Landsat data for vegetation and land-cover mapping in the Blackfoot River watershed, southeastern Idaho Digital classification of Landsat data for vegetation and land-cover mapping in the Blackfoot River watershed, southeastern Idaho

This paper documents the procedures, results, and final products of a digital analysis of Landsat data used to produce a vegetation and landcover map of the Blackfoot River watershed in southeastern Idaho. Resource classes were identified at two levels of detail: generalized Level I classes (for example, forest land and wetland) and detailed Levels II and III classes (for example...
Authors
L. R. Pettinger

A hybrid structure for the storage and manipulation of very large spatial data sets A hybrid structure for the storage and manipulation of very large spatial data sets

The map data input and output problem for geographic information systems is rapidly diminishing with the increasing availability of mass digitizing, direct spatial data capture and graphics hardware based on raster technology. Although a large number of efficient raster-based algorithms exist for performing a wide variety of common tasks on these data, there are a number of procedures...
Authors
Donna J. Peuquet

An automatic optimum kernel-size selection technique for edge enhancement An automatic optimum kernel-size selection technique for edge enhancement

Edge enhancement is a technique that can be considered, to a first order, a correction for the modulation transfer function of an imaging system. Digital imaging systems sample a continuous function at discrete intervals so that high-frequency information cannot be recorded at the same precision as lower frequency data. Because of this, fine detail or edge information in digital images...
Authors
Pat S. Chavez, Brian P. Bauer

Evaluation of AMOEBA: a spectral-spatial classification method Evaluation of AMOEBA: a spectral-spatial classification method

Muitispectral remotely sensed images have been treated as arbitrary multivariate spectral data for purposes of clustering and classifying. However, the spatial properties of image data can also be exploited. AMOEBA is a clustering and classification method that is based on a spatially derived model for image data. In an evaluation test, Landsat data were classified with both AMOEBA and a...
Authors
Susan K. Jenson, Thomas R. Loveland, J. Bryant

Assessing mesquite-grass vegetation condition from Landsat Assessing mesquite-grass vegetation condition from Landsat

Landsat multispectral scanner (MSS) band values, band ratios, and vegetation index models were compared with selected rangeland vegetation parameters collected at six test sites within the honey mesquitellotebushlmixed grass association in north-central Texas. The comparisons at four dates showed that two vegetation index models, TV16 and GVI, are highly correlated (P = 0.01) with green...
Authors
Kirk C. McDaniel, Robert H. Haas

Evaluating the crop coefficient using spectral reflectance Evaluating the crop coefficient using spectral reflectance

A field study was conducted in four differentially irrigated plots of alfalfa (Medicago sativa L.) planted in Shiprock sandy loam (coarseloamy, mixed, mesic Typic Haplargid) to assess spectral reflectance for estimating the crop coefficient (Kc), defined here as the ratio of actual to potential evapotranspiration (ET). A bidirectional reflectance factor was measured using a three-channel...
Authors
J. L. Heilman, W. E. Heilman, Donald G. Moore
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