IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i2d10.1007_s10668-022-02896-1.html
   My bibliography  Save this article

Soil moisture mapping for different land-use patterns of lower Bhavani river basin using vegetative index and land surface temperature

Author

Listed:
  • N. Janani

    (Tamil Nadu Agricultural University)

  • Balaji Kannan

    (Tamil Nadu Agricultural University)

  • K. Nagarajan

    (Tamil Nadu Agricultural University)

  • G. Thiyagarajan

    (Tamil Nadu Agricultural University)

  • M. R. Duraisamy

    (Tamil Nadu Agricultural University)

Abstract

Soil moisture is the significant hydrologic factor deals with energy balance between the land and the atmosphere. Since the observation of soil moisture at point scale is infrequent and expensive, remote sensing determines the distribution of soil moisture in large scale. In this study, remote sensing techniques have been used to calculate the soil moisture index in the lower Bhavani river basin, Tamil Nadu, India. Landsat 8 satellite data were used for deriving soil moisture in reference with land surface temperature (LST) and normalized difference vegetative index (NDVI). The derived soil moisture was compared to the in situ soil moisture measurements, which were taken at 83 sites at the field level. When a linear regression model was fit between in situ observations and derived soil moisture, a high coefficient of determination (R2) value of 0.83 was found which can be efficiently used for the moisture estimation across greater areas. Since the land-use patterns influences the LST and soil moisture, the variations of these parameters in each land-use classes were studied using independent t test and found that LST demonstrated statistical non-significance (p > 0.05) for each of the studied groups, indicating that each land-use classes temperature were similar, whereas soil moisture in water bodies versus fallow land (p = 0.019), built-ups versus water bodies (p = 0.023), forest versus fallow land (p = 0.018), vegetation versus built-ups (p = 0.028), and built-ups versus forest (p = 0.011) has statistical significance value, which indicates that soil moisture between these compared classes was not similar.

Suggested Citation

  • N. Janani & Balaji Kannan & K. Nagarajan & G. Thiyagarajan & M. R. Duraisamy, 2024. "Soil moisture mapping for different land-use patterns of lower Bhavani river basin using vegetative index and land surface temperature," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4533-4549, February.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02896-1
    DOI: 10.1007/s10668-022-02896-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02896-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-022-02896-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xinxin Guo & Qiang Fu & Yanhong Hang & He Lu & Fengjie Gao & Jingbo Si, 2020. "Spatial Variability of Soil Moisture in Relation to Land Use Types and Topographic Features on Hillslopes in the Black Soil (Mollisols) Area of Northeast China," Sustainability, MDPI, vol. 12(9), pages 1-21, April.
    2. Ram Avtar & Apisai Vakacegu Rinamalo & Deha Agus Umarhadi & Ankita Gupta & Khaled Mohamed Khedher & Ali P. Yunus & Bhupendra P. Singh & Pankaj Kumar & Netrananda Sahu & Anjar Dimara Sakti, 2022. "Land Use Change and Prediction for Valuating Carbon Sequestration in Viti Levu Island, Fiji," Land, MDPI, vol. 11(8), pages 1-17, August.
    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. Yilizhati Aili & Ilyas Nurmemet & Shiqin Li & Xiaobo Lv & Xinru Yu & Aihepa Aihaiti & Yu Qin, 2025. "Retrieval of Soil Moisture in the Yutian Oasis, Northwest China by 3D Feature Space Based on Optical and Radar Remote Sensing Data," Land, MDPI, vol. 14(3), pages 1-29, March.
    2. Muhammad Waseem Rasheed & Jialiang Tang & Abid Sarwar & Suraj Shah & Naeem Saddique & Muhammad Usman Khan & Muhammad Imran Khan & Shah Nawaz & Redmond R. Shamshiri & Marjan Aziz & Muhammad Sultan, 2022. "Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    3. Nguyen Duc Luong & Nguyen Hoang Hiep & Thi Hieu Bui, 2021. "Investigating the Spatio-Temporal Variation of Soil Moisture and Agricultural Drought towards Supporting Water Resources Management in the Red River Basin of Vietnam," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    4. Theophilus Atio Abalori & Wenxia Cao & Conrad Atogi-Akwoa Weobong & Wen Li & Shilin Wang & Xiuxia Deng, 2022. "Spatial Vegetation Patch Patterns and Their Relation to Environmental Factors in the Alpine Grasslands of the Qilian Mountains," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    5. Aryal, Kishor & Maraseni, Tek & Rana, Eak & Subedi, Bhishma Prasad & Laudari, Hari Krishna & Ghimire, Puspa Lal & Khanal, Sudarshan Chandra & Zhang, Han & Timilsina, Ramesh, 2024. "Carbon emission reduction initiatives: Lessons from the REDD+ process of the Asia and Pacific region," Land Use Policy, Elsevier, vol. 146(C).
    6. Nematollah Kohestani & Shafagh Rastgar & Ghodratolla Heydari & Shaban Shataee Jouibary & Hamid Amirnejad, 2024. "Spatiotemporal modeling of the value of carbon sequestration under changing land use/land cover using InVEST model: a case study of Nour-rud Watershed, Northern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 14477-14505, June.
    7. Prabhavathy Settu & Mangayarkarasi Ramaiah, 2024. "Estimation of Sentinel-1 derived soil moisture using modified Dubois model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29677-29693, November.
    8. Ankita Gupta, 2024. "Analyzing Land Use/Land Cover Dynamics in Mountain Tourism Areas: A Case Study of the Core and Buffer Zones of Sagarmatha and Khaptad National Parks, Nepal," Sustainability, MDPI, vol. 16(23), pages 1-27, December.
    9. Ohana-Levi, Noa & Mintz, Danielle Ferman & Hagag, Nave & Stern, Yossi & Munitz, Sarel & Friedman-Levi, Yael & Shacham, Nir & Grünzweig, José M. & Netzer, Yishai, 2022. "Grapevine responses to site-specific spatiotemporal factors in a Mediterranean climate," Agricultural Water Management, Elsevier, vol. 259(C).
    10. Siyue Sun & Guolin Zhang & Tieguang He & Shufang Song & Xingbiao Chu, 2021. "Effects of Landscape Positions and Landscape Types on Soil Properties and Chlorophyll Content of Citrus in a Sloping Orchard in the Three Gorges Reservoir Area, China," Sustainability, MDPI, vol. 13(8), pages 1-14, April.
    11. Benedetta Brunelli & Michaela Giglio & Elisa Magnani & Marco Dubbini, 2024. "Surface soil moisture estimate from Sentinel-1 and Sentinel-2 data in agricultural fields in areas of high vulnerability to climate variations: the Marche region (Italy) case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 24083-24105, 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:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02896-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.