Марина Г. Ерунова

ORCID: 0000-0002-1922-1036
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About
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Research Areas
  • Soil and Environmental Studies
  • Environmental Sustainability and Technology
  • Remote Sensing in Agriculture
  • Agriculture and Biological Studies
  • Water Resources and Management
  • Aquatic and Environmental Studies
  • Land Use and Ecosystem Services
  • Food Industry and Aquatic Biology
  • Agricultural Productivity and Crop Improvement
  • Agricultural Development and Policies
  • Geological Studies and Exploration
  • Remote Sensing and Land Use
  • Geochemistry and Geologic Mapping
  • Hydrology and Watershed Management Studies
  • Regional Socio-Economic Development Trends
  • Remote Sensing and LiDAR Applications
  • Forest Ecology and Biodiversity Studies
  • Digitalization and Economic Development in Agriculture
  • Fire effects on ecosystems
  • Ecology and biodiversity studies
  • Freshwater macroinvertebrate diversity and ecology
  • Precipitation Measurement and Analysis
  • Isotope Analysis in Ecology
  • Geological Modeling and Analysis
  • Soil Geostatistics and Mapping

Krasnoyarsk Scientific Center
2019-2024

Institute of Computational Modeling
2006-2020

Siberian Federal University
2019-2020

Krasnoyarsk State Agrarian University
2015

For a successful planning of the environmental monitoring, understanding formation patterns communities and their interactions with environment is great importance. During monitoring studies, ecosystems protected areas can serve as reference sites for assessing disturbance degree, especially when anthropogenic impacts are absent or insignificant. The first most comprehensive investigations fauna benthic invertebrates in watercourses Krasnoyarsk Stolby National Park were conducted late 1950s...

10.24189/ncr.2025.004 article EN cc-by Nature Conservation Research 2025-01-01

The objective of the study is to assess state agricultural seeds (level weediness) on territory Krasnoyarsk Agricultural Research Institute Federal Center «Krasnoyarsk Science SB RAS» near village Minino according satellite data. For this purpose, an algorithm for obtaining and processing PlaneScope data calculating NDVI vegetation index has been developed. On its basis a map spatial distribution wheat with different levels weediness created. According PlanetScope data, opportunity interpret...

10.17516/1999-494x-0247 article EN Journal of Siberian Federal University Engineering & Technologies 2020-08-01

10.5593/sgem2019/2.2/s11.106 article EN International Multidisciplinary Scientific GeoConference SGEM ... 2019-06-20

Abstract The experience of implementation GIS and web technologies for regional agriculture the Krasnoyarsk territory is considered. experimental agricultural enterprise “Minino”, located near city Krasnoyarsk, was chosen as a pilot project. For this enterprise, comprehensive digital model using geographic information systems, remote sensing mapping data processing techniques software created. A geospatial database, which contains relevant archival about fields, varieties, crops, soil,...

10.1088/1755-1315/315/3/032022 article EN IOP Conference Series Earth and Environmental Science 2019-08-01

Abstract The problem of creating a geographic spatial database morphometric indicators based on the basin approach for several rivers in Krasnoyarsk region is considered. division territory into catchment basins carried out hierarchical system, up to river tributaries 4-th order. initial data construction watersheds was MERIT DEM Hydro digital relief model, vector hydrographic network from A.P. Karpinsky All-Russian Research Geological Institute (VSEGEI) and Roscartography (Federal Agency...

10.1088/1755-1315/421/6/062039 article EN IOP Conference Series Earth and Environmental Science 2020-01-01

Methods for analyzing the dynamics of NDVI vegetation index using satellite data Terra MODIS and Planet Scope various spatial resolutions are considered. The combination geospatial modeling methods remote sensing processing technologies allows us to identify features patterns spatiotemporal development crops. studies were carried out on example experimental agricultural enterprise "Minino" Krasnoyarsk Scientific Center SB RAS. selected crops: wheat, barley. A digital model was developed that...

10.1117/12.2575663 article EN 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020-11-12

The aim of the work is to develop techniques for detecting weediness in agricultural crops based on use VARI vegetation index, calculated from PlanetScope satellite data. territories Krasnoyarsk Agricultural Research Institute Federal Center Science SB RAS near village Minino (Central Siberia, Region) were used as object research. To calculate index grain crops, algorithm receiving and processing data was developed. On its basis, a map spatial distribution wheat with various degrees made....

10.17516/1999-494x-0314 article EN Journal of Siberian Federal University Engineering & Technologies 2021-05-01

The watershed management approach is an efficient tool for organizing and implementing natural resource at the regional interregional levels. Statistical processing of information contributes to a comprehensive assessment environment river watersheds different hierarchical purpose this work use spatial analysis data simulation assessing state ecosystems in hydrologically defined geographical areas such as watersheds. minimal "pilot" territory four Eastern Siberia with average area...

10.1002/ieam.4652 article EN Integrated Environmental Assessment and Management 2022-06-22

2 Институт вычислительного моделирования СО РАН Красноярск

10.21046/2070-7401-2024-21-3-145-154 article RU Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 2024-01-01

The application of geoinformation technologies and digital elevation models (DEMs) makes it possible to significantly automate the process analyzing terrain in area under study. Modern DEMs are based on remote sensing data, their accuracy is constantly improving. Based new non-profit FABDEM DEM data SAGA GIS functionality, a geomorphometric analysis topography agricultural experimental production farm (EPF) “Mikhailovskoye” was carried out at Krasnoyarsk Science Center Russian Academy...

10.35595/2414-9179-2024-2-30-252-262 article EN cc-by InterCarto InterGIS 2024-11-01

Abstract. Purpose. The study is aimed at providing operational monitoring of agricultural crops using satellite data. Data on the spectral-reflective properties and climatic characteristics that reflect state are considered example Kuraginskoye Agricultural Experiment Production Facility (AEPF), located in south Krasnoyarsk krai. Methodology methods. Based data, values average daily temperature land surface, sum precipitation, thematic maps NDVI, ClGreen, MSAVI2 vegetation indices were...

10.32417/1997-4868-2023-23-09-29-40 article EN Agrarian Bulletin of the 2023-10-12

The basis of geomorphometric analysis using Earth remote sensing (ERS) data is the digital model (DEM). Based on FABDEM DEM, territory experimental production farm Krasnoyarsk Territory was studied, a series large-scale maps key geomorphological relief indicators were built: steepness and exposure slopes, curvature (planned profile), terrain ruggedness index (TRI), LS coefficient, topographic wetness (TWI), etc. A Mikhailovskoye carried out, morphometric parameters obtained, which are stored...

10.52686/9785605087878_413 article EN 2024-10-07

Abstract Spatial database of morphometric features based on basin approach is developed for Krasnoyarsk region. The water basins are ranged into four levels. digital model hydrography network by VSEGEI was used, in combination to Whitebox GAT, QGIS and ArcGIS software. average climate calculated due this model, spatial analysis supported with advanced non-linear statistics provided.

10.1088/1757-899x/862/6/062060 article EN IOP Conference Series Materials Science and Engineering 2020-05-01

Abstract The article presents the results of a geospatial analysis NDVI distribution for 2020 growing season territory Kuraginskoye Agricultural Experimental Production Facility, which is currently part Federal Research Center Krasnoyarsk Science Siberian Branch Russian Academy Sciences. A database Facility has been created, stores an electronic map fields and time series vegetation indices each field 2020. initial data are cloudless satellite images PlanetScope constellation with spatial...

10.1088/1755-1315/677/3/032105 article EN IOP Conference Series Earth and Environmental Science 2021-03-01

Abstract With the availability of a highly sparse and even shrinking network ground-based weather stations in recent years, satellite remote sensing is worthy alternative to traditional methods measuring temperature, which provides long-term homogeneous data series for studied territories. This article addresses problem applicability MODIS analyzing temperature characteristics regions Krasnoyarsk Territory. The thermal regimes effective heat sum territories using from images have been...

10.1088/1757-899x/862/5/052026 article EN IOP Conference Series Materials Science and Engineering 2020-05-01

Abstract Previously, highly informative clustering of small watersheds provided over the annual temperature course has been reported. Here we report on interplay between pattern and distribution developed precipitation data. A sounding correlation these two cluster structures is found. To reveal correspondence, smart methods both spatial comprehensive analysis have implemented. We used advanced GIS tools to detect behavior data under consideration, elastic map technique patterns in space...

10.1088/1755-1315/677/3/032107 article EN IOP Conference Series Earth and Environmental Science 2021-03-01
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