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Application of Satellite Monitoring Data for Winter Cereals Growing in the Lviv Region
Corresponding Author(s) : Zoriana Ryzhok
Geomatics and Environmental Engineering,
Vol. 14 No. 4 (2020): Geomatics and Environmental Engineering
Abstract
The authors applied satellite monitoring data of agricultural lands of the geographic information system of International Production Assessment Division of the United States Department of Agriculture on the example of winter cereal cultivation. The authors did so according to the indices of vegetation index NDVI, information on atmospheric precipitation, soil moisture, and air temperature compared to Earth observations to estimate the condition of their sowing area. According to the research results, one can use remote sensing data of the IPAD USDA geographic information system to monitor agricultural land, yield capacity prediction and the estimation of gross agricultural products.
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- Stupen N., Stupen M., Stupen O.: Electronic Agricultural Maps Formation on the basis of GIS and Earth Remote Sensing. Management, Economic Engineering in Agriculture and Rural Development, vol. 18 (4), 2018, pp. 347–353.
- International Production Assessment Division, https://ipad.fas.usda.gov/cropexplorer/imageview.aspx?regionid=umb [access: 24.03.2020].
- Doraiswamy P.C., Hatfield J.L., Jackson T.J.: Crop Condition and Yield Simulations using Landsat and MODIS. Remote Sensing of Environment, vol. 92 (4), 2004, pp. 548–559.
- State Space Agency of Ukraine, http://portal.dzz.gov.ua/geoportal/ [access: 22.03.2020].
- National Space Facilities Control and Test Center, [on‑line:] http://spacecenter.gov.ua/ [access: 22.03.2020].
- Kolodiy P., Pіdlypna M.: The Improvement of the Agricultural Yields Forecasting Model Using the Software Product “Land Viewer”. Geomatics and Environmental Engineering, vol. 14, no. 1, 2020, pp. 59–67.
- Borowik T., Pettorelli N., Sönnichsen L., Jędrzejewska B.: Normalized difference vegetation index (NDVI) as a predictor of forage availability for ungulates in forest and field habitats. European Journal of Wildlife Research, vol. 59 (5), 2013, pp. 675–682.
- Meera Gandhi G., Parthiban S., Thummalu N., Christy A.: NDVI: vegetation change detection using remote sensing and GIS – a case study of Vellore District. Procedia Computer Science, vol. 57, 2015, pp. 1999–1210.
- Earth Observing System, https://eos.com/lv/ [access: 2.07.2020].
- Serdyuchenko N.M.: Analiz System Ahromonitorynhu Transnatsional’noho Rivnya. Tekhniko‑Tekhnolohichni Aspekty Rozvytku ta Vyprobuvannya Novoyi Tekhniky i Tekhnolohiy dlya Sil’s’koho Hospodarstva Ukrayiny [Сердюченко Н.М.: Аналіз Систем Агромоніторингу Транснаціонального Рівня. Техніко-Технологічні Аспекти Розвитку та Випробування Нової Техніки і Технологій для Сільського Господарства України], no. 22 (36), 2018, pp. 159–165.
- Zatserkovnyy V.I., Kryvoberets’ S.V., Serhiyenko V.V.: Vykorystannya HIS ta DZZ dlya monitorynhu sil’s’kohospodars’kykh zemel’. Chernihivs’kyy naukovyy chasopys Chernihivs’koho derzhavnoho instytutu ekonomiky i upravlinnya. Tekhnika i pryroda [Зацерковний В.І., Кривоберець С.В., Сергієнко В.В.: Використання ГІС та ДЗЗ для моніторингу сільськогосподарських земель. Чернігівський науковий часопис Чернігівського державного інституту економіки і управління. Техніка і природа], no. 2, 2011, pp. 40–48.
- Monitoring Agriculture with Remote Sensing, http://www.marsop.info/en/web/mars-explorer/home [access: 2.07.2020].
- Stupen M., Stupen R., Ryzhok Z., Stupen O.: Methodological foundations of the organization and protection of lands in the context of the balanced nature use. Management, Economic Engineering in Agriculture and Rural Development, vol. 19 (1), 2019, pp. 565–571.
- Bozhko L., Barsukova O.: Ahrometeorolohichni prohnozy. Odes’kyy derzhavnyy ekolohichnyy universytet, Odesa 2011 [Божко Л., Барсукова О.: Агрометеорологічні прогнози. Одеський державний екологічний університет, Одеса 2011].
- Stupen N., Bohira M., Stupen O., Ryzhok Z.: Prospects of the Application of European Practice on Efficient Agricultural Lands Use in Ukraine. Management, Economic Engineering in Agriculture and Rural Development, vol. 19 (3), 2019, pp. 563–569.
References
Stupen N., Stupen M., Stupen O.: Electronic Agricultural Maps Formation on the basis of GIS and Earth Remote Sensing. Management, Economic Engineering in Agriculture and Rural Development, vol. 18 (4), 2018, pp. 347–353.
International Production Assessment Division, https://ipad.fas.usda.gov/cropexplorer/imageview.aspx?regionid=umb [access: 24.03.2020].
Doraiswamy P.C., Hatfield J.L., Jackson T.J.: Crop Condition and Yield Simulations using Landsat and MODIS. Remote Sensing of Environment, vol. 92 (4), 2004, pp. 548–559.
State Space Agency of Ukraine, http://portal.dzz.gov.ua/geoportal/ [access: 22.03.2020].
National Space Facilities Control and Test Center, [on‑line:] http://spacecenter.gov.ua/ [access: 22.03.2020].
Kolodiy P., Pіdlypna M.: The Improvement of the Agricultural Yields Forecasting Model Using the Software Product “Land Viewer”. Geomatics and Environmental Engineering, vol. 14, no. 1, 2020, pp. 59–67.
Borowik T., Pettorelli N., Sönnichsen L., Jędrzejewska B.: Normalized difference vegetation index (NDVI) as a predictor of forage availability for ungulates in forest and field habitats. European Journal of Wildlife Research, vol. 59 (5), 2013, pp. 675–682.
Meera Gandhi G., Parthiban S., Thummalu N., Christy A.: NDVI: vegetation change detection using remote sensing and GIS – a case study of Vellore District. Procedia Computer Science, vol. 57, 2015, pp. 1999–1210.
Earth Observing System, https://eos.com/lv/ [access: 2.07.2020].
Serdyuchenko N.M.: Analiz System Ahromonitorynhu Transnatsional’noho Rivnya. Tekhniko‑Tekhnolohichni Aspekty Rozvytku ta Vyprobuvannya Novoyi Tekhniky i Tekhnolohiy dlya Sil’s’koho Hospodarstva Ukrayiny [Сердюченко Н.М.: Аналіз Систем Агромоніторингу Транснаціонального Рівня. Техніко-Технологічні Аспекти Розвитку та Випробування Нової Техніки і Технологій для Сільського Господарства України], no. 22 (36), 2018, pp. 159–165.
Zatserkovnyy V.I., Kryvoberets’ S.V., Serhiyenko V.V.: Vykorystannya HIS ta DZZ dlya monitorynhu sil’s’kohospodars’kykh zemel’. Chernihivs’kyy naukovyy chasopys Chernihivs’koho derzhavnoho instytutu ekonomiky i upravlinnya. Tekhnika i pryroda [Зацерковний В.І., Кривоберець С.В., Сергієнко В.В.: Використання ГІС та ДЗЗ для моніторингу сільськогосподарських земель. Чернігівський науковий часопис Чернігівського державного інституту економіки і управління. Техніка і природа], no. 2, 2011, pp. 40–48.
Monitoring Agriculture with Remote Sensing, http://www.marsop.info/en/web/mars-explorer/home [access: 2.07.2020].
Stupen M., Stupen R., Ryzhok Z., Stupen O.: Methodological foundations of the organization and protection of lands in the context of the balanced nature use. Management, Economic Engineering in Agriculture and Rural Development, vol. 19 (1), 2019, pp. 565–571.
Bozhko L., Barsukova O.: Ahrometeorolohichni prohnozy. Odes’kyy derzhavnyy ekolohichnyy universytet, Odesa 2011 [Божко Л., Барсукова О.: Агрометеорологічні прогнози. Одеський державний екологічний університет, Одеса 2011].
Stupen N., Bohira M., Stupen O., Ryzhok Z.: Prospects of the Application of European Practice on Efficient Agricultural Lands Use in Ukraine. Management, Economic Engineering in Agriculture and Rural Development, vol. 19 (3), 2019, pp. 563–569.