Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value
The article presents data on the state of the surveyed fields of winter wheat and spring barley of the experimental farm “Integration” of the Orel state agrarian university using satellite images. The dynamic values of the Normalized Difference Vegetation Index (NDVI) were obtained by analyzing sate...
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EDP Sciences
2021-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/55/e3sconf_eeests2021_03012.pdf |
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doaj-997817d74f5d4397ba022903a9dd1a6c2021-07-07T11:34:09ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012790301210.1051/e3sconf/202127903012e3sconf_eeests2021_03012Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI valuePavlovskaya NinelRodimtsev SergeiBorodin DmitriiVershinin StepanGagarina IrinaMikhaylova YuliaThe article presents data on the state of the surveyed fields of winter wheat and spring barley of the experimental farm “Integration” of the Orel state agrarian university using satellite images. The dynamic values of the Normalized Difference Vegetation Index (NDVI) were obtained by analyzing satellite images of the experimental plots, starting with early flowering phase of agricultural crops. The corresponding maps were prepared based on these data; the data visualization and access to them were implemented on the GeoMixer base of the WebGIS platform. Digital processing of the information was provided with the digital processing program of the Earth remote sensing ScanEx Image Processor V.5.0. The boundaries of the experimental plots were determined by vector pathes (polygons) built into the digital environment of the composite control system (CСS) of the agricultural organization “AgroNetwork Technologies” (ANT). This software is the basis of the digital platform for the experimental farm of the university. The NDVI values for spring barley in the control zone are very low and amount to about 0.5 in the middle of the season, which predicts the yield to be twice lower than the optimal one.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/55/e3sconf_eeests2021_03012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pavlovskaya Ninel Rodimtsev Sergei Borodin Dmitrii Vershinin Stepan Gagarina Irina Mikhaylova Yulia |
spellingShingle |
Pavlovskaya Ninel Rodimtsev Sergei Borodin Dmitrii Vershinin Stepan Gagarina Irina Mikhaylova Yulia Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value E3S Web of Conferences |
author_facet |
Pavlovskaya Ninel Rodimtsev Sergei Borodin Dmitrii Vershinin Stepan Gagarina Irina Mikhaylova Yulia |
author_sort |
Pavlovskaya Ninel |
title |
Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value |
title_short |
Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value |
title_full |
Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value |
title_fullStr |
Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value |
title_full_unstemmed |
Application of satellite images for assessing winter wheat and spring barley crops on the average NDVI value |
title_sort |
application of satellite images for assessing winter wheat and spring barley crops on the average ndvi value |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2021-01-01 |
description |
The article presents data on the state of the surveyed fields of winter wheat and spring barley of the experimental farm “Integration” of the Orel state agrarian university using satellite images. The dynamic values of the Normalized Difference Vegetation Index (NDVI) were obtained by analyzing satellite images of the experimental plots, starting with early flowering phase of agricultural crops. The corresponding maps were prepared based on these data; the data visualization and access to them were implemented on the GeoMixer base of the WebGIS platform. Digital processing of the information was provided with the digital processing program of the Earth remote sensing ScanEx Image Processor V.5.0. The boundaries of the experimental plots were determined by vector pathes (polygons) built into the digital environment of the composite control system (CСS) of the agricultural organization “AgroNetwork Technologies” (ANT). This software is the basis of the digital platform for the experimental farm of the university. The NDVI values for spring barley in the control zone are very low and amount to about 0.5 in the middle of the season, which predicts the yield to be twice lower than the optimal one. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/55/e3sconf_eeests2021_03012.pdf |
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