Search Results - "KOROLEVA, POLINA V"

Informativeness of the Long-Term Average Spectral Characteristics of the Bare Soil Surface for the Detection of Soil Cover Degradation with the Neural Network Filtering of Remote Sensing Data by Rukhovich, Dmitry I., Koroleva, Polina V., Rukhovich, Alexey D., Komissarov, Mikhail A.

“…The long-term spectral characteristics of the bare soil surface (BSS) in the BLUE, GREEN, RED, NIR, SWIR1, and SWIR2 Landsat spectral bands are poorly studied…”
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Updating of the Archival Large-Scale Soil Map Based on the Multitemporal Spectral Characteristics of the Bare Soil Surface Landsat Scenes by Rukhovich, Dmitry I., Koroleva, Polina V., Rukhovich, Alexey D., Komissarov, Mikhail A.

“…For most of the arable land in Russia (132–137 million ha), the dominant and accurate soil information is stored in the form of map archives on paper without…”
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Recognition of the Bare Soil Using Deep Machine Learning Methods to Create Maps of Arable Soil Degradation Based on the Analysis of Multi-Temporal Remote Sensing Data by Rukhovich, Dmitry I., Koroleva, Polina V., Rukhovich, Danila D., Rukhovich, Alexey D.

“…The detection of degraded soil distribution areas is an urgent task. It is difficult and very time consuming to solve this problem using ground methods. The…”
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The Use of Deep Machine Learning for the Automated Selection of Remote Sensing Data for the Determination of Areas of Arable Land Degradation Processes Distribution by Rukhovich, Dmitry I., Koroleva, Polina V., Rukhovich, Danila D., Kalinina, Natalia V.

“…Soil degradation processes are widespread on agricultural land. Ground-based methods for detecting degradation require a lot of labor and time. Remote methods…”
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A study of the responsiveness of crops to fertilizers by zones of stable intra-field heterogeneity based on big satellite data analysis by Khitrov, Nikolay B., Rukhovich, Dmitry I., Koroleva, Polina V., Kalinina, Natalia V., Trubnikov, Alexey V., Petukhov, Dmitry A., Kulyanitsa, Andrey L.

“…The maps of stable intra-field heterogeneity of soil cover were created based on big satellite (remote sensing) data using the technology of the spectral…”
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Projected changes in the organic carbon stocks of cropland mineral soils of European Russia and the Ukraine, 1990-2070 by SMITH, JO, SMITH, PETE, WATTENBACH, MARTIN, GOTTSCHALK, PIA, ROMANENKOV, VLADIMIR A, SHEVTSOVA, LUDMILA K, SIROTENKO, OLEG D, RUKHOVICH, DMITRY I, KOROLEVA, POLINA V, ROMANENKO, IRINA A, LISOVOI, NICOLAI V

“…In this paper, we use the Rothamsted Carbon Model to estimate how cropland mineral soil carbon stocks are likely to change under future climate, and how…”
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