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V. Kovalskyy

Researcher at South Dakota State University

Publications -  26
Citations -  3804

V. Kovalskyy is an academic researcher from South Dakota State University. The author has contributed to research in topics: Normalized Difference Vegetation Index & Land cover. The author has an hindex of 13, co-authored 26 publications receiving 3026 citations.

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Landsat-8: Science and Product Vision for Terrestrial Global Change Research

TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.
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Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

TL;DR: In this paper, the authors compared the top of atmosphere (TOA) and atmospherically corrected surface reflectance for the spectrally corresponding visible, near infrared and shortwave infrared bands, and derived normalized difference vegetation index (NDVI), are compared and their differences quantified.
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Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States

TL;DR: In this paper, temporally composited, mosaics of the conterminous United States (CONUS) were generated on a monthly, seasonal, and annual basis using 6521 ETM+ acquisitions from December 2007 to November 2008.
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A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance

TL;DR: In this paper, a generalized approach is developed to provide consistent view angle corrections across the Landsat archive, which is not applicable for generation of Landsat surface albedo, which requires a full characterization of the surface bidirectional reflectance distribution function (BRDF), or for correction to a constant solar illumination angle across a wide range of sun angles.
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Continental-scale Validation of MODIS-based and LEDAPS Landsat ETM+ Atmospheric Correction Methods

TL;DR: In this article, the accuracy of two Landsat atmospheric correction methods, a MODIS-based method and the Landsat Ecosystem Disturbance Adaptive ProcessingSystem (LEDAPS) method, is compared.