IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i8p832-d76466.html
   My bibliography  Save this article

A MODIS-Based Retrieval Model of Suspended Particulate Matter Concentration for the Two Largest Freshwater Lakes in China

Author

Listed:
  • Fangyuan Chen

    (School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Guofeng Wu

    (School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China
    Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
    College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China)

  • Junjie Wang

    (Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China
    College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China)

  • Junjun He

    (School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China
    Fourth Surveying and Mapping Institute of Anhui Province, Hefei 230031, China)

  • Yihan Wang

    (School of Resource and Environmental Sciences & Key Laboratory of Geographic Information System of the Ministry of Education, Wuhan University, Wuhan 430079, China
    Surveying and Mapping Engineering Institute of Hubei Province, Wuhan 430074, China)

Abstract

Suspended particulate matter concentration ( C SPM ) is a key parameter describing case-II water quality. Empirical and semi-empirical models are frequently developed and applied for estimating C SPM values from remote sensing images; however, they are usually region- or season-dependent. This study aimed to develop a Moderate Resolution Imaging Spectroradiometer (MODIS)-based retrieval model of C SPM for Poyang and Dongting Lake together. The 89 C SPM measurements in Poyang and Dongting Lake as well as their corresponding MODIS Terra images were used to calibrate C SPM retrieval models, and the calibration results showed that the exponential models of MODIS red band and red minus shortwave infrared (SWIR) band at 1240 nm both explained about 76% of the variation of C SPM of Poyang and Dongting Lake together. When the two models were applied to the validation datasets, the results indicated that the exponential model of red band obtained more stable C SPM estimations with no bias at a significance level of 0.05 in both lakes. The MODIS red-band-based model achieved acceptable results for estimating C SPM in both Poyang and Dongting Lake, and it provided a foundation for obtaining comparable spatiotemporal information of C SPM , which will be helpful for comparing, understanding, managing, and protecting the two aquatic ecosystems.

Suggested Citation

  • Fangyuan Chen & Guofeng Wu & Junjie Wang & Junjun He & Yihan Wang, 2016. "A MODIS-Based Retrieval Model of Suspended Particulate Matter Concentration for the Two Largest Freshwater Lakes in China," Sustainability, MDPI, vol. 8(8), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:8:p:832-:d:76466
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/8/832/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/8/832/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shifeng Huang & Jinggang Li & Mei Xu, 2012. "Water surface variations monitoring and flood hazard analysis in Dongting Lake area using long-term Terra/MODIS data time series," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(1), pages 93-100, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xi Zhu & Yansha Wen & Xiang Li & Feng Yan & Shuhe Zhao, 2023. "Remote Sensing Inversion of Typical Water Quality Parameters of a Complex River Network: A Case Study of Qidong’s Rivers," Sustainability, MDPI, vol. 15(8), pages 1-18, April.

    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. Xuchun Ye & Chong-Yu Xu & Qi Zhang & Jing Yao & Xianghu Li, 2018. "Quantifying the Human Induced Water Level Decline of China’s Largest Freshwater Lake from the Changing Underlying Surface in the Lake Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(4), pages 1467-1482, March.
    2. Yuannan Long & Moruo Zheng & Huaiguang He & Shixiong Yan, 2023. "Interannual Variabilities in the Onset and Demise of Rainy Season: Implications for Water Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4933-4948, September.

    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:8:y:2016:i:8:p:832-:d:76466. 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.