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1.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Pis’man T. I., Botvich I. Y., Sid’ko A. F.
Заглавие : Evaluation of the seasonal dynamics of crop yield in agrocenoses on the basis of satellite data and mathematical models
Место публикации : Biol. Bull. - 2015. - Vol. 42, Is. 6. - С. 589-594. - ISSN 10623590 (ISSN) , DOI 10.1134/S1062359015660048
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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2.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Shevyrnogov A. P., Botvich, I. Yu., Kononova N. A., Pis'man T. I.
Заглавие : Remote Ground-Based and Satellite Monitoring of Vegetation
Колич.характеристики :6 с
Коллективы : RAS Siberian Branch Integrated Basic Research Program "Interdisciplinary Integrative Studies" for 2018-2020 [74]
Место публикации : Her. Russ. Acad. Sci.: MAIK NAUKA/INTERPERIODICA/SPRINGER, 2018. - Vol. 88, Is. 6. - С. 469-474. - ISSN 1019-3316, DOI 10.1134/S1019331618060138. - ISSN 1555-6492(eISSN)
Примечания : 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).
Предметные рубрики: GROWTH
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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3.

Вид документа : Статья из сборника (выпуск продолж. издания)
Шифр издания :
Автор(ы) : Shevyrnogov A. P., Malchikov N. O., Botvich I. Y., Yemelianov D. V., Larko A. A.
Заглавие : Use of unmanned aerial vehicles for sensing microrelief during agrocenoses monitoring
Место публикации : 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. - С. 485-490
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).
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