IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p2649-d1362684.html
   My bibliography  Save this article

European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment

Author

Listed:
  • Oleksiy Opryshko

    (Department of Automation and Robotic Systems, National University of Life and Environmental Sciences of Ukraine, Heroiv Oborony Str. 15, 03041 Kyiv, Ukraine)

  • Natalia Pasichnyk

    (Department of Agrochemistry and Quality of Crop Products, National University of Life and Environmental Sciences of Ukraine, Heroiv Oborony Str. 15, 03041 Kyiv, Ukraine)

  • Nikolay Kiktev

    (Department of Automation and Robotic Systems, National University of Life and Environmental Sciences of Ukraine, Heroiv Oborony Str. 15, 03041 Kyiv, Ukraine
    Department of Intelligent Technologies, Taras Shevchenko National University of Kyiv, Volodymyrs’ka Str., 64/13, Kyiv, 01601 Kyiv, Ukraine)

  • Alla Dudnyk

    (Department of Automation and Robotic Systems, National University of Life and Environmental Sciences of Ukraine, Heroiv Oborony Str. 15, 03041 Kyiv, Ukraine)

  • Taras Hutsol

    (Department of Mechanics and Agroecosystems Engineering, Polissia National University, 10008 Zhytomyr, Ukraine
    Department of Machine Use in Agriculture, Dmytro Motornyi Tavria State Agrotechnological University, Zhukovsky, 66, 69063 Zaporizhzhia, Ukraine)

  • Krzysztof Mudryk

    (Faculty of Production and Power Engineering, University of Agriculture in Kraków, Balicka 116B, 30-149 Krakow, Poland
    Ukrainian University in Europe–Foundation, Balicka 116, 30-149 Krakow, Poland)

  • Piotr Herbut

    (Department of Rural Building, Faculty of Environmental Engineering and Land Surveying, University of Agriculture in Krakow, 31-120 Krakow, Poland)

  • Piotr Łyszczarz

    (Department of Bioprocess Engineering, Energy and Automation, Faculty of Production and Energy Engineering, University of Agriculture in Kraków, Balicka 116B, 30-149 Krakow, Poland)

  • Valentyna Kukharets

    (Department of Applied Economics, Finance and Accounting, Agriculture Academy, Vytautas Magnus University, Universiteto g. 10, Akademija, LT-53361 Kaunas, Lithuania)

Abstract

To improve energy and environmental security in urban environments and in accordance with the requirements of the EU, the task of sustainable developing agriculture in urban agglomerations and monitoring it using satellite images becomes relevant. The aim of the work is the development of methods and means for determining stable islands of thermal energy to substantiate the optimal locations for plant growing practices in the metropolis. The research was conducted in Kyiv, the largest metropolis of Ukraine. Data from the Landsat 8 and 9 satellites were used because of the free data and they have better spatial resolution and an available archive of observation results. It was established that the temperature map of the city of Kyiv shows differences in temperature between different parts of the city, probably due to the presence of different sources of heat radiation. It is obvious that the standard deviation of the temperature in the plots depends on many factors, in particular, the season and the type of land use. It is necessary to find alternative solutions for the development of crop production in this area, taking into account the characteristics of thermal emissions. Based on software products from free satellite monitoring providers, EO Browser, a specialized software solution (web application) has been created for monitoring agricultural plantations in an urban environment. A collection of LANDSAT 8 satellite images was used. Areas with stable heat emissions were found, which are due to the operation of a modern shopping and entertainment center, and non-traditional crops for landscaping adapted to its design are proposed. As a result of research, strong heat emissions were recorded for some objects, for them the temperature exceeds the surrounding area by 4 °C, while the minimum standard deviation in January is 0.5 °C, the maximum in July is 2.8 °C, in April and October—1.7 °C and 1.2 °C, respectively.

Suggested Citation

  • Oleksiy Opryshko & Natalia Pasichnyk & Nikolay Kiktev & Alla Dudnyk & Taras Hutsol & Krzysztof Mudryk & Piotr Herbut & Piotr Łyszczarz & Valentyna Kukharets, 2024. "European Green Deal: Satellite Monitoring in the Implementation of the Concept of Agricultural Development in an Urbanized Environment," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2649-:d:1362684
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/2649/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/7/2649/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    2. Jose M. Vindel & Estrella Trincado & Antonio Sánchez-Bayón, 2021. "European Union Green Deal and the Opportunity Cost of Wastewater Treatment Projects," Energies, MDPI, vol. 14(7), pages 1-18, April.
    3. Yang, Di & Luan, Weixin & Qiao, Lu & Pratama, Mahardhika, 2020. "Modeling and spatio-temporal analysis of city-level carbon emissions based on nighttime light satellite imagery," Applied Energy, Elsevier, vol. 268(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mevlut Uyan & Jarosław Janus & Ela Ertunç, 2023. "Land Use Suitability Model for Grapevine ( Vitis vinifera L.) Cultivation Using the Best Worst Method: A Case Study from Ankara/Türkiye," Agriculture, MDPI, vol. 13(9), pages 1-20, August.
    2. Jiang Zhu & Xiang Li & Huiming Huang & Xiangdong Yin & Jiangchun Yao & Tao Liu & Jiexuan Wu & Zhangcheng Chen, 2023. "Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    3. Timuçin Everest & Hakan Koparan & Ali Sungur & Hasan Özcan, 2022. "An important tool against combat climate change: Land suitability assessment for canola (a case study: Çanakkale, NW Turkey)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13137-13172, November.
    4. Jiang, Xue & Li, Bingxin & Zhao, Hongyu & Zhang, Qiqi & Song, Xiaoya & Zhang, Haoran, 2022. "Examining the spatial simulation and land-use reorganisation mechanism of agricultural suburban settlements using a cellular-automata and agent-based model: Six settlements in China," Land Use Policy, Elsevier, vol. 120(C).
    5. Xufeng Cui & Tingting Zhou & Xinxing Xiong & Jiaqi Xiong & Jing Zhang & Yuehua Jiang, 2022. "Farmland Suitability Evaluation Oriented by Non-Agriculturalization Sensitivity: A Case Study of Hubei Province, China," Land, MDPI, vol. 11(4), pages 1-18, March.
    6. Mohamed M. Elsharkawy & Abd El Aziz S. Sheta & Paola D’Antonio & Mohammed S. Abdelwahed & Antonio Scopa, 2022. "Tool for the Establishment of Agro-Management Zones Using GIS Techniques for Precision Farming in Egypt," Sustainability, MDPI, vol. 14(9), pages 1-26, April.
    7. Hu, Ting & Wang, Ting & Yan, Qingyun & Chen, Tiexi & Jin, Shuanggen & Hu, Jun, 2022. "Modeling the spatiotemporal dynamics of global electric power consumption (1992–2019) by utilizing consistent nighttime light data from DMSP-OLS and NPP-VIIRS," Applied Energy, Elsevier, vol. 322(C).
    8. Guo, Jinyu & Ma, Jinji & Li, Zhengqiang & Hong, Jin, 2022. "Building a top-down method based on machine learning for evaluating energy intensity at a fine scale," Energy, Elsevier, vol. 255(C).
    9. Wang, Ailun & Hu, Shuo & Li, Jianglong, 2021. "Does economic development help achieve the goals of environmental regulation? Evidence from partially linear functional-coefficient model," Energy Economics, Elsevier, vol. 103(C).
    10. Yanqi Zhao & Yue Zhang & Ying Yang & Fan Li & Rongkun Dai & Jianlin Li & Mingshi Wang & Zhenhua Li, 2023. "The Impact of Land Use Structure Change on Utilization Performance in Henan Province, China," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    11. Peng, Jieyang & Kimmig, Andreas & Niu, Zhibin & Wang, Jiahai & Liu, Xiufeng & Ovtcharova, Jivka, 2021. "A flexible potential-flow model based high resolution spatiotemporal energy demand forecasting framework," Applied Energy, Elsevier, vol. 299(C).
    12. Feng Dong & Guoqing Li & Yajie Liu & Qing Xu & Caixia Li, 2023. "Spatial-Temporal Evolution and Cross-Industry Synergy of Carbon Emissions: Evidence from Key Industries in the City in Jiangsu Province, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    13. Yining Ma & Suri Guga & Jie Xu & Yulin Su & Xingpeng Liu & Zhijun Tong & Jiquan Zhang, 2022. "Agricultural Vulnerability Assessment of High-Temperature Disaster in Shaanxi Province of China," Agriculture, MDPI, vol. 12(7), pages 1-20, July.
    14. Du, Mengbing & Zhang, Xiaoling & Xia, Lang & Cao, Libin & Zhang, Zhe & Zhang, Li & Zheng, Heran & Cai, Bofeng, 2022. "The China Carbon Watch (CCW) system: A rapid accounting of household carbon emissions in China at the provincial level," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    15. Huo, Weidong & Qi, Jie & Yang, Tong & Liu, Jialu & Liu, Miaomiao & Zhou, Ziqi, 2022. "Effects of China's pilot low-carbon city policy on carbon emission reduction: A quasi-natural experiment based on satellite data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    16. Tianjiao Yang & Jing Liu & Haibo Mi & Zhicheng Cao & Yiting Wang & Huichao Han & Jiahui Luan & Zhaoxuan Wang, 2022. "An Estimating Method for Carbon Emissions of China Based on Nighttime Lights Remote Sensing Satellite Images," Sustainability, MDPI, vol. 14(4), pages 1-23, February.
    17. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.
    18. Roxana Lebuy & Diana Mancilla-Ruiz & Hermann Manríquez & Francisco De la Barrera, 2022. "Degraded Landscapes in Hillside Systems with Agricultural Use: An Integrated Analysis to Establish Restoration Opportunities in Central Chile," Land, MDPI, vol. 12(1), pages 1-16, December.
    19. Chao Wu & Miaomiao Chen & Lei Zhou & Xiaojin Liang & Wei Wang, 2020. "Identifying the Spatiotemporal Patterns of Traditional Villages in China: A Multiscale Perspective," Land, MDPI, vol. 9(11), pages 1-21, November.
    20. Rabia Bovkir & Eda Ustaoglu & Arif Cagdas Aydinoglu, 2023. "Assessment of Urban Quality of Life Index at Local Scale with Different Weighting Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 655-678, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2649-:d:1362684. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.