Provision of operational monitoring of agricultural crops with satellite data

Abstract. Purpose. The study is aimed at providing operational monitoring of agricultural crops using satellite data. Data on the spectral-reflective properties of agricultural crops and climatic characteristics that reflect the state of agricultural crops are considered on the example of Kuraginsko...

Full description

Bibliographic Details
Published in:Agrarian Bulletin of the
Main Authors: Erunova Marina Gennad'evna, Kuznecova Anna Sergeevna, Yakubailik Oleg Eduardovich
Format: Text
Language:Russian
Published: Ural State Agrarian University 2023
Subjects:
Online Access:https://doi.org/10.32417/1997-4868-2023-23-09-29-40
id ftinfram:oai:naukaru.ru:art_70819
record_format openpolar
spelling ftinfram:oai:naukaru.ru:art_70819 2023-11-12T04:20:29+01:00 Provision of operational monitoring of agricultural crops with satellite data Erunova Marina Gennad'evna Kuznecova Anna Sergeevna Yakubailik Oleg Eduardovich 2023-10-12 https://doi.org/10.32417/1997-4868-2023-23-09-29-40 ru rus Ural State Agrarian University 10.32417/1997-4868-2023-23-09-29-40 https://doi.org/10.32417/1997-4868-2023-23-09-29-40 Text 2023 ftinfram https://doi.org/10.32417/1997-4868-2023-23-09-29-40 2023-10-27T15:19:35Z Abstract. Purpose. The study is aimed at providing operational monitoring of agricultural crops using satellite data. Data on the spectral-reflective properties of agricultural crops and climatic characteristics that reflect the state of agricultural crops are considered on the example of Kuraginskoye Agricultural Experiment Production Facility (AEPF), located in the south of the Krasnoyarsk krai. Methodology and methods. Based on satellite data, the values of the average daily temperature of the land surface, the sum of daily precipitation, thematic maps and the average values of the NDVI, ClGreen, and MSAVI2 vegetation indices were obtained. Satellite data from Sentinel-2, Terra MODIS and IMERG GPM Precipitation were used as sources of Earth remote sensing data. The initial satellite information was processed using the QGIS software. As a result, satellite data were selected from open sources, methods for their processing were compiled, and an archive of data for the growing seasons from 2015 to 2022 was formed. Operational monitoring using satellite data makes it possible to identify the heterogeneity of the spatial distribution of vegetation cover, track the dynamics of temperatures and the amount of precipitation during the growing season, thereby contributing to a comprehensive assessment of the state of all agricultural crops in general and individually for each field. Scientific novelty. The technology of processing Sentinel-2, Terra MODIS (MOD11), GPM (IMERG) data and obtaining their derived products based on the QGIS geoinformation system in automated mode for agricultural monitoring tasks has been developed. Practical significance. Data sets on vegetation indices, temperature and precipitation have been formed, which are of great practical importance for making effective management decisions on the territory of the Kuraginskoye AEPF. Text Krasnoyarsk Krai Scientific Publishing Center INFRA - M Agrarian Bulletin of the 23 09 29 40
institution Open Polar
collection Scientific Publishing Center INFRA - M
op_collection_id ftinfram
language Russian
description Abstract. Purpose. The study is aimed at providing operational monitoring of agricultural crops using satellite data. Data on the spectral-reflective properties of agricultural crops and climatic characteristics that reflect the state of agricultural crops are considered on the example of Kuraginskoye Agricultural Experiment Production Facility (AEPF), located in the south of the Krasnoyarsk krai. Methodology and methods. Based on satellite data, the values of the average daily temperature of the land surface, the sum of daily precipitation, thematic maps and the average values of the NDVI, ClGreen, and MSAVI2 vegetation indices were obtained. Satellite data from Sentinel-2, Terra MODIS and IMERG GPM Precipitation were used as sources of Earth remote sensing data. The initial satellite information was processed using the QGIS software. As a result, satellite data were selected from open sources, methods for their processing were compiled, and an archive of data for the growing seasons from 2015 to 2022 was formed. Operational monitoring using satellite data makes it possible to identify the heterogeneity of the spatial distribution of vegetation cover, track the dynamics of temperatures and the amount of precipitation during the growing season, thereby contributing to a comprehensive assessment of the state of all agricultural crops in general and individually for each field. Scientific novelty. The technology of processing Sentinel-2, Terra MODIS (MOD11), GPM (IMERG) data and obtaining their derived products based on the QGIS geoinformation system in automated mode for agricultural monitoring tasks has been developed. Practical significance. Data sets on vegetation indices, temperature and precipitation have been formed, which are of great practical importance for making effective management decisions on the territory of the Kuraginskoye AEPF.
format Text
author Erunova Marina Gennad'evna
Kuznecova Anna Sergeevna
Yakubailik Oleg Eduardovich
spellingShingle Erunova Marina Gennad'evna
Kuznecova Anna Sergeevna
Yakubailik Oleg Eduardovich
Provision of operational monitoring of agricultural crops with satellite data
author_facet Erunova Marina Gennad'evna
Kuznecova Anna Sergeevna
Yakubailik Oleg Eduardovich
author_sort Erunova Marina Gennad'evna
title Provision of operational monitoring of agricultural crops with satellite data
title_short Provision of operational monitoring of agricultural crops with satellite data
title_full Provision of operational monitoring of agricultural crops with satellite data
title_fullStr Provision of operational monitoring of agricultural crops with satellite data
title_full_unstemmed Provision of operational monitoring of agricultural crops with satellite data
title_sort provision of operational monitoring of agricultural crops with satellite data
publisher Ural State Agrarian University
publishDate 2023
url https://doi.org/10.32417/1997-4868-2023-23-09-29-40
genre Krasnoyarsk Krai
genre_facet Krasnoyarsk Krai
op_relation 10.32417/1997-4868-2023-23-09-29-40
https://doi.org/10.32417/1997-4868-2023-23-09-29-40
op_doi https://doi.org/10.32417/1997-4868-2023-23-09-29-40
container_title Agrarian Bulletin of the
container_volume 23
container_issue 09
container_start_page 29
op_container_end_page 40
_version_ 1782336415575572480