Trend analysis for time series of NDVI

Kataev, Mikhail Yu.; Bekerov, A.A.; Shalda, P.V.

doi:10.21293/1818-0442-2017-20-1-81-84

Cited by 4 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Достоверность результатов полевых экспериментов на основании дисперсионного, корреляционного и вариационного анализа определяли согласно методике полевого опыта (17). Данные ДЗЗ оценивали на основании кластерного анализа (18,19) и анализа временных рядов (20,21), а также динамики NDVI за вегетационный период по каждому полю (22)(23)(24). Кривые динамики NDVI по срокам анализа сглаживали в режиме дисперсии.…”

unclassified

“…Кривые динамики NDVI по срокам анализа сглаживали в режиме дисперсии. Данные были представлены в графическом виде (21). При этом использовали программное обеспечение для точного земледелия FieldRoverII («Site-Specific Technology Development Group, Inc.», США) и SMS Advanced («Ag Leader Technology, Inc.», США), а также собственные разработки «Agro-Network Technologies» (Казахстан) и АФИ ГИС (Россия).…”

unclassified

See 1 more Smart Citation

Prospects for Precision Management of Wheat Productivity in the Conditions of Northern Kazakhstan

Ирмулатов¹,

Farming²

2021

S-h. biol.

View full text Add to dashboard Cite

unclassified

Prospects for Precision Management of Wheat Productivity in the Conditions of Northern Kazakhstan

Ирмулатов¹,

Farming²

2021

S-h. biol.

View full text Add to dashboard Cite

“…Мониторинг спутниками группы Sentinel-2 осуществлялся с помощью сервиса LandViewer (https://eos.com), который позволяет обрабатывать и анализировать изображения в режиме реального времени. Также учитывали данные беспилотных летательных аппаратов (БПЛА) (16) (20,21), а также динамики NDVI за вегетационный период по каждому полю (22)(23)(24). Кривые динамики NDVI по срокам анализа сглаживали в режиме дисперсии.…”

unclassified

О Перспективах Прецизионного Управления Продуктивностью Пшеницы В Условиях Северного Казахстана

Ирмулатов¹

2021

S-h. biol.

View full text Add to dashboard Cite

The Analysis of Satellite Measurement of the Vegetation Index in the Foothill and Plain Areas of the Rso-Alania

Kamenetsky¹,

Radionov²,

Timchenko³

2022

Melioration and Water Management

View full text Add to dashboard Cite

To analyze the seasonal and long-term variability of the normalized relative vegetation index NDVI, the multichannel MODIS spectroradiometer measurements with a 10x10 km resolution over a 20-year period of time are used. On the territory of the RNO-Alania in the foothill areas and on the plains near the border of the Stavropol Territory five geographical locations are selected, located at different distances from the Northern spurs of the Caucasian Ridge. For each geographical location the sets of time series are obtained for: 16-day NDVI composites, daily temperature at an altitude of 2 m and precipitation for the 20-years period from 01.01.2000 to 31.12.2019. By calculating the integral characteristic for an annual period of time for every location, the series of 20 annual values are obtained. According to the obtained series, three 20-year trends are built and the trend parameters of a first-order polynomial are calculated using the least squares method. The NDVI trend slope switch is observed in the Mozdok-Russkoe location for transition from the time period 2000–2009 to the period 2010–2019, when the slope changes from positive to negative. Similar NDVI trend slope switches are observed for other locations. This may be due changing the level of soil moisture over time, taking into account mainly the downward trends in precipitation. The trend slope of the NDVI integral characteristic 5–15 % increases with the increasing of the distance from the mountain ridge. The temperature trends for all locations are ascending, that indicates an average increase of the number of warm days from year to year. At the same time, the maximum temperature during the summer period does not significantly increase. The trend of the integral characteristic for the amount of precipitation is mainly downward. However, its specific values have a fairly large spread, which means that the amount of precipitation varies significantly from year to year. In addition, the amount of precipitation decreases with distance from mountain ridges. These factors should be taken into account when choosing agricultural products for cultivation and planning additional land-reclamations in the flat and foothill areas on the south of the Russian Federation.

show abstract

Trend analysis for time series of NDVI

Cited by 4 publications

References 2 publications

Prospects for Precision Management of Wheat Productivity in the Conditions of Northern Kazakhstan

Prospects for Precision Management of Wheat Productivity in the Conditions of Northern Kazakhstan

О Перспективах Прецизионного Управления Продуктивностью Пшеницы В Условиях Северного Казахстана

The Analysis of Satellite Measurement of the Vegetation Index in the Foothill and Plain Areas of the Rso-Alania

Contact Info

Product

Resources

About