IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v15y2024i1p18-d1552866.html
   My bibliography  Save this article

Research on Soil Erosion Based on Remote Sensing Technology: A Review

Author

Listed:
  • Jiaqi Wang

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jiuchun Yang

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Zhi Li

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Liwei Ke

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Qingyao Li

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Jianwei Fan

    (College of Information Technology, Jilin Agricultural University, Changchun 130118, China)

  • Xue Wang

    (State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

Monitoring and assessing soil erosion is essential for reducing land degradation and ensuring food security. It provides critical scientific insights for developing effective policies and implementing targeted preventive measures. The emergence of remote sensing technology has significantly bolstered soil erosion research, empowering researchers to comprehensively and accurately understand and address soil erosion-related challenges. Consequently, remote sensing has become pivotal in soil erosion research methodologies. In recent years, significant progress has been made in remote sensing research on soil erosion. This study aims to encapsulate the current status and advancements of remote sensing technology applications in soil erosion research. It catalogs commonly used remote sensing data sources and introduces innovative methodologies for detecting soil-erosion-related information utilizing remote sensing data and technology. Furthermore, it delves into the analysis of remote sensing acquisition methods for factors influencing soil erosion and examines the crucial role of remote sensing in prevalent soil erosion simulation and prediction models. Additionally, this study identifies existing challenges in research and outlines the prospects and developmental directions of remote sensing in soil erosion research, emphasizing its potential to contribute to sustainable land management practices and environmental conservation efforts.

Suggested Citation

  • Jiaqi Wang & Jiuchun Yang & Zhi Li & Liwei Ke & Qingyao Li & Jianwei Fan & Xue Wang, 2024. "Research on Soil Erosion Based on Remote Sensing Technology: A Review," Agriculture, MDPI, vol. 15(1), pages 1-31, December.
    • Handle: RePEc:gam:jagris:v:15:y:2024:i:1:p:18-:d:1552866
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/15/1/18/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/15/1/18/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jian Sun & Tracy E. Twine & Jason Hill & Ryan Noe & Jiancheng Shi & Minmin Li, 2017. "Effects of Land Use Change for Crops on Water and Carbon Budgets in the Midwest USA," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    2. Bo Wen & Chenxi Liu & Xu Tian & Qi Zhang & Shaolie Huang & Yanyuan Zhang, 2024. "Interactive Effects of Ecological Land Agglomeration and Habitat Quality on Soil Erosion in the Jinsha River Basin, China," Land, MDPI, vol. 13(2), pages 1-21, February.
    3. Antonio Minervino Amodio & Dario Gioia & Maria Danese & Nicola Masini & Canio Alfieri Sabia, 2023. "Land-Use Change Effects on Soil Erosion: The Case of Roman “Via Herculia” (Southern Italy)—Combining Historical Maps, Aerial Images and Soil Erosion Model," Sustainability, MDPI, vol. 15(12), pages 1-15, June.
    4. Nuaman Ejaz & Mohamed Elhag & Jarbou Bahrawi & Lifu Zhang & Hamza Farooq Gabriel & Khalil Ur Rahman, 2023. "Soil Erosion Modelling and Accumulation Using RUSLE and Remote Sensing Techniques: Case Study Wadi Baysh, Kingdom of Saudi Arabia," Sustainability, MDPI, vol. 15(4), pages 1-14, 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. Semih Ediş & Özgür Burhan Timur & Gamze Tuttu & İbrahim Aytaş & Ceyhun Göl & Ali Uğur Özcan, 2023. "Assessing the Impact of Engineering Measures and Vegetation Restoration on Soil Erosion: A Case Study in Osmancık, Türkiye," Sustainability, MDPI, vol. 15(15), pages 1-16, August.
    2. Chenxi Liu & Manyu Dong & Qian Liu & Zhihua Chen & Yulian Wang, 2023. "Spatiotemporal Variability in Rainfall Erosivity and Its Teleconnection with Atmospheric Circulation Indices in China," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    3. Kipyegon Koskei. & Cherono Janeth, 2024. "Assessment of Soil Erosion Susceptibility, Spatial Sediment Delivery Processes and Control Strategies at the Nzoia River Catchment in Kenya," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(10), pages 136-154, October.
    4. Nikiforos Samarinas & Nikolaos L. Tsakiridis & Eleni Kalopesa & George C. Zalidis, 2024. "Soil Loss Estimation by Water Erosion in Agricultural Areas Introducing Artificial Intelligence Geospatial Layers into the RUSLE Model," Land, MDPI, vol. 13(2), pages 1-21, February.
    5. Jiahui Guo & Xiaohuang Liu & Jiufen Liu & Wenbo Zhang & Chaolei Yang & Liyuan Xing & Hongyu Li & Xinping Luo & Ran Wang & Zulpiya Mamat & Chao Wang & Honghui Zhao, 2024. "Analysis of Spatial and Temporal Patterns of Soil Erosion in the Yunnan–Guizhou Plateau during 2000–2030," Sustainability, MDPI, vol. 16(17), pages 1-20, September.
    6. Yuzhe Li & Jiangwen Fan & Zhongmin Hu, 2018. "Comparison of Carbon-Use Efficiency Among Different Land-Use Patterns of the Temperate Steppe in the Northern China Pastoral Farming Ecotone," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    7. Khaliq, Abdul & Mamkhezri, Jamal, 2024. "The impact of renewable portfolio standards and land-use governance on CO2 and gross total emissions in four U.S. regions," Applied Energy, Elsevier, vol. 372(C).

    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:jagris:v:15:y:2024:i:1:p:18-:d:1552866. 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.