IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p8009-d852789.html
   My bibliography  Save this article

Rice Phenology Retrieval Based on Growth Curve Simulation and Multi-Temporal Sentinel-1 Data

Author

Listed:
  • Bo Wang

    (College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yu Liu

    (College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Qinghong Sheng

    (College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Jun Li

    (College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Jiahui Tao

    (College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Zhijun Yan

    (College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

Abstract

The accurate estimation and monitoring of phenology is necessary for modern agricultural industries. For crops with short phenology occurrence times, such as rice, Sentinel-1 can be used to effectively monitor the growth status in different phenology periods within a short time interval. Therefore, this study proposes a method to monitor rice phenology based on growth curve simulation by constructing a polarized growth index (PGI) and obtaining a polarized growth curve. A recursive neural network is used to realize the classification of phenology and use it as prior knowledge of rice phenology to divide and extract the phenological interval and date of rice in 2021. The experimental results show that the average accuracy of neural network phenological interval division reaches 93.5%, and the average error between the extracted and measured phenological date is 3.08 days, which proves the application potential of the method. This study will contribute to the technical development of planning, management and maintenance of renewable energy infrastructure related to phenology.

Suggested Citation

  • Bo Wang & Yu Liu & Qinghong Sheng & Jun Li & Jiahui Tao & Zhijun Yan, 2022. "Rice Phenology Retrieval Based on Growth Curve Simulation and Multi-Temporal Sentinel-1 Data," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8009-:d:852789
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/8009/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/13/8009/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lausch, Angela & Salbach, Christoph & Schmidt, Andreas & Doktor, Daniel & Merbach, Ines & Pause, Marion, 2015. "Deriving phenology of barley with imaging hyperspectral remote sensing," Ecological Modelling, Elsevier, vol. 295(C), pages 123-135.
    2. Lingjun Wang & Ying Wang & Jian Chen, 2019. "Assessment of the Ecological Niche of Photovoltaic Agriculture in China," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    3. Jian Chen & Yiping Liu & Lingjun Wang, 2019. "Research on Coupling Coordination Development for Photovoltaic Agriculture System in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    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. Qianning Zhang & Zhu Xu, 2021. "Fully Portraying Patch Area Scaling with Resolution: An Analytics and Descriptive Statistics-Combined Approach," Land, MDPI, vol. 10(3), pages 1-21, March.
    2. Shuai, Jing & Zhao, Yujia & Shuai, Chuanmin & Wang, Jingjin & Yi, Tian & Cheng, Jinhua, 2023. "Assessing the international co-opetition dynamics of rare earth resources between China, USA, Japan and the EU: An ecological niche approach," Resources Policy, Elsevier, vol. 82(C).
    3. Hengtian Wang & Xiaolong Yang & Xinxin Xu & Liu Fei, 2021. "Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis," Energies, MDPI, vol. 14(11), pages 1-28, May.
    4. Xu Chen & Yingliang Wu & Rujie Zhong, 2021. "Research on Competitiveness of China’s Social Commerce Enterprises Based on Macro- and Micro-Niche," Sustainability, MDPI, vol. 13(1), pages 1-20, January.
    5. Junnan Liu & Tong Chen & Yulan Song, 2022. "Coupling Coordination and Interactivity between Farmland Transfer and Rural Financial Development: Evidence from Western China," Sustainability, MDPI, vol. 14(24), pages 1-28, December.
    6. Peng Xu & Qianqi Xu & Cunkuan Bao, 2023. "A Study on the Synergy of Renewable Energy Policies in Shandong Province: Based on the Coupling Coordination Model," Energies, MDPI, vol. 16(19), pages 1-17, September.
    7. Yanhua Chang & Yi Liang, 2023. "Intelligent Risk Assessment of Ecological Agriculture Projects from a Vision of Low Carbon," Sustainability, MDPI, vol. 15(7), pages 1-21, March.
    8. Yanwei Zhang & Hualin Xie, 2019. "Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation," Land, MDPI, vol. 8(11), pages 1-41, November.
    9. Wu, Ning & Liu, ZuanKuo, 2021. "Higher education development, technological innovation and industrial structure upgrade," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    10. Li, Bo & Ding, Junqi & Wang, Jieqiong & Zhang, Biao & Zhang, Lingxian, 2021. "Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China," Energy Policy, Elsevier, vol. 149(C).
    11. Yi Cheng, 2023. "Analysis of Development Strategy for Ecological Agriculture Based on a Neural Network in the Environmental Economy," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    12. Lee, Sangik & Lee, Jong-hyuk & Jeong, Youngjoon & Kim, Dongsu & Seo, Byung-hun & Seo, Ye-jin & Kim, Taejin & Choi, Won, 2023. "Agrivoltaic system designing for sustainability and smart farming: Agronomic aspects and design criteria with safety assessment," Applied Energy, Elsevier, vol. 341(C).
    13. Chen, Qi & Li, Xinyuan & Zhang, Zhengjia & Zhou, Chao & Guo, Zhiling & Liu, Zhengguang & Zhang, Haoran, 2023. "Remote sensing of photovoltaic scenarios: Techniques, applications and future directions," Applied Energy, Elsevier, vol. 333(C).
    14. Dahao Guo & Yuancheng Lin & Min Wang & Zirou Huang, 2023. "Spatial Distribution Pattern, Evolution and Influencing Mechanism of Ecological Farms in China," Land, MDPI, vol. 12(7), pages 1-20, July.
    15. Lingjun Wang & Yuanyuan Li, 2022. "Research on Niche Improvement Path of Photovoltaic Agriculture in China," IJERPH, MDPI, vol. 19(20), pages 1-25, October.
    16. Mamun, Mohammad Abdullah Al & Dargusch, Paul & Wadley, David & Zulkarnain, Noor Azwa & Aziz, Ammar Abdul, 2022. "A review of research on agrivoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    17. Xuelan Li & Jiyu Jiang & Javier Cifuentes-Faura, 2023. "Coordinated Development and Sustainability of the Agriculture, Climate and Society System in China: Based on the PLE Analysis Framework," Land, MDPI, vol. 12(3), pages 1-19, March.

    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:14:y:2022:i:13:p:8009-:d:852789. 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.