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Evaluation of the seasonal dynamics of crop yield in agrocenoses on the basis of satellite data and mathematical models / T. I. Pis’man, I. Y. Botvich, A. F. Sid’ko // Biol. Bull. - 2015. - Vol. 42, Is. 6. - P589-594, DOI 10.1134/S1062359015660048 . - ISSN 1062-3590
Аннотация: An integrated approach based on satellite remote-sensing data and the results of analysis of mathematical models has been tested for applicability in the evaluation of crop yield and total phytomass of agrocenosis, as well as identifying its type. The dynamics of the normalized difference vegetation index (NDVI) and the total aboveground phytomass of agrocenosis proved to be qualitatively similar. An analysis performed using a mathematical model and taking into account air temperature showed the possibility of making and refining the prognosis of crop yield. In this course, the vegetative and generative parts of the agrocenosis were distinguished, and it was found that model data matched ground survey data under optimal environmental conditions. © 2015, Pleiades Publishing, Inc.

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WOS
Держатели документа:
Institute of Biophysics, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Pis’man, T. I.; Botvich, I. Y.; Sid’ko, A. F.

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Remote Ground-Based and Satellite Monitoring of Vegetation / A. P. Shevyrnogov [et al.] // Her. Russ. Acad. Sci. - 2018. - Vol. 88, Is. 6. - P469-474, DOI 10.1134/S1019331618060138. - Cited References:20. - This study was performed within the RAS Siberian Branch Integrated Basic Research Program "Interdisciplinary Integrative Studies" for 2018-2020 (project no. 74) and a state assignment (state registration AAAA-A17-117013050027-1). . - ISSN 1019-3316. - ISSN 1555-6492

РУБ History & Philosophy Of Science + Multidisciplinary Sciences
Рубрики:
GROWTH
Кл.слова (ненормированные):
agrocenoses -- grass vegetation -- halophytes -- ground spectrometry -- satellite sensing -- chlorophyll photosynthetic potential -- mathematical -- modeling
Аннотация: Prospects for remote ground and satellite sensing to monitor agricultural (agrocenoses) and grass (meadows and steppes) vegetation are considered. This helps assess chlorophyll contents, crop yields, impurities of territories and identify agrocenoses. Investigation of vegetation on salinized soils identified the necessity to consider the succession of limiting factors (temperature and the degree of soil salinization). The results of studies on grassland plant communities in Khakassia based on geobotanical descriptions and ground spectral measurements are presented, allowing the refinement of methods that improve the accuracy of deciphering satellite images of medium and low resolutions.

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Scopus
Держатели документа:
Russian Acad Sci, Siberian Branch, Krasnoyarsk Res Ctr, Inst Biophys, Krasnoyarsk, Russia.

Доп.точки доступа:
Shevyrnogov, A. P.; Botvich, I. Yu.; Kononova, N. A.; Pis'man, T. I.; RAS Siberian Branch Integrated Basic Research Program "Interdisciplinary Integrative Studies" for 2018-2020 [74]

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Use of unmanned aerial vehicles for sensing microrelief during agrocenoses monitoring / A. P. Shevyrnogov, N. O. Malchikov, I. Y. Botvich [et al.] // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P485-490
Кл.слова (ненормированные):
Agriculture -- Barley -- Precision farming -- Spectrometry -- UAV -- Vegetation index -- Agriculture -- Antennas -- Data handling -- Spectrometry -- Unmanned aerial vehicles (UAV) -- Vegetation -- Agricultural land -- Barley -- Ground based -- Integral values -- Microrelief -- Precision farming -- Vegetation index -- Vegetation periods -- Monitoring
Аннотация: The use of UAVs for obtaining data on field microrelief within agricultural lands was demonstrated. The work relies on the NDVI integral values during the vegetation period obtained using satellite and ground-based spectrometry. It was established that a change in microrelief has a significant impact on the value of the NDVI integral and yield. The proposed approach can be used in precision farming for planning future agricultural work. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Scopus
Держатели документа:
Institute of Biophysics SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Shevyrnogov, A. P.; Malchikov, N. O.; Botvich, I. Y.; Yemelianov, D. V.; Larko, A. A.

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