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An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine

Author

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  • Imtiaz, Fatima
  • Farooque, Aitazaz A.
  • Randhawa, Gurjit S.
  • Wang, Xiuquan
  • Esau, Travis J.
  • Acharya, Bishnu
  • Hashemi Garmdareh, Seyyed Ebrahim

Abstract

Soil moisture estimation is critical for environmental and agricultural sustainability, with its spatial and temporal variation playing a key role in drought monitoring and understanding climate change. The region of Prince Edward Island (PEI), Atlantic Canada's largest potato producer, is facing irregular precipitation patterns that stress crop water supplies. This study aims to estimate field-scale soil moisture utilizing satellite-based reflective and thermal infrared bands from Landsat-8 Operational Land Imager (OLI)/Thermal Infrared Sensor (TIRS) and Moderate-resolution Imaging Spectroradiometer (MODIS) over the cloud-based Google Earth Engine (GEE) platform. The GEE data catalog's pre-processed data endured to calculate various indicators for the agricultural seasons of 2021 and 2022 across three designated plots: A, B, and C. The indicators are land surface temperature (LST), normalized difference vegetation index (NDVI), normalized difference water index (NDWI), and normalized difference moisture index (NDMI). NDVI and LST were used to calculate the soil moisture index (SMI), representing the real-time soil moisture at the field scale. The soil moisture data was validated using in situ measurements. The analysis showed good Root Mean Square Error values of 1.43 % (Plot A), 2.12 % (Plot B), and 2.60 % (Plot C). A weak negative association between LST and NDVI was noticed in the study, with R² values of 0.25, 0.38 and 0.26 for Plots A, B and C, respectively. As the LST rises, vegetation declines due to the elevated temperatures in the study area. Second, a significant (p < 0.05) negative correlation (R2 =1) existed between SMI and LST in both the 2021 and 2022 seasons, showing a decrease in the top layer soil moisture with LST. The NDWI exhibited a significant inverse correlation with soil moisture, while NDMI and NDVI are effective predictors. Hence, based on the current study, optical and thermal remote sensing offers valuable insights into soil moisture dynamics and can be a good tool for irrigation control and water conservation.

Suggested Citation

  • Imtiaz, Fatima & Farooque, Aitazaz A. & Randhawa, Gurjit S. & Wang, Xiuquan & Esau, Travis J. & Acharya, Bishnu & Hashemi Garmdareh, Seyyed Ebrahim, 2024. "An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine," Agricultural Water Management, Elsevier, vol. 306(C).
    • Handle: RePEc:eee:agiwat:v:306:y:2024:i:c:s0378377424005080
    DOI: 10.1016/j.agwat.2024.109172
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    References listed on IDEAS

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    1. Xiaoling Wu & Jeffrey P. Walker & Vanessa Wong, 2023. "Proximal Soil Moisture Sensing for Real-Time Water Delivery Control: Exploratory Study over a Potato Farm," Agriculture, MDPI, vol. 13(7), pages 1-10, June.
    2. ., 2023. "From elements in the environment to organizational practice," Chapters, in: Institutional Theory and Organizational Change, chapter 6, pages 89-114, Edward Elgar Publishing.
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    4. Karamo NM Sonko & Mariama Sonko, 2023. "Demystifying Environmental, Social and Governance (ESG)," Palgrave Studies in Impact Finance, Palgrave Macmillan, number 978-3-031-35867-8, June.
    5. ., 2023. "The environmental interface of cities," Chapters, in: How Great Cities Happen, chapter 7, pages 176-208, Edward Elgar Publishing.
    6. ., 2023. "The institutional environment and organizational change," Chapters, in: Institutional Theory and Organizational Change, chapter 7, pages 115-136, Edward Elgar Publishing.
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    1. Cheuk Yin Wai & Muhammad Atiq Ur Rehman Tariq & Nitin Muttil & Hing-Wah Chau, 2025. "Assessing Socio-Economic Vulnerabilities to Urban Heat: Correlations with Land Use and Urban Morphology in Melbourne, Australia," Land, MDPI, vol. 14(5), pages 1-26, April.

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