Near Surface Soil Moisture Estimation through Fusion of UAV-Enabled Thermal, Optical, and Multispectral Hyperspatial Imagery at the Oak Ridge Earthflow
Publication: Geo-Congress 2024
ABSTRACT
High-resolution mapping of near surface soil moisture is important for the characterization of landslides. This study focuses on estimating the near surface soil moisture through UAV-enabled high-resolution topographic, visible, multispectral, and thermal remote sensing data collected over four acquisitions in a six-month period. The spatial distribution of surface soil moisture is estimated via remotely sensed parameters on an active, slowly moving landslide in the San Francisco Bay Area. Regression analysis shows statistically significant correlation between the diurnal temperature difference and measured in situ volumetric water content. Additional predictive features are also engineered from collected spectral and topographic data and used in multivariate regressions. The findings of this study show promise in the prediction of near surface moisture via remote sensing on a variety of surface types and diurnal heating conditions.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Araya, S., A. Fryjoff-Hung, A. Anderson, J. Viers, and T. Ghezzehei. (2021). “Advances in soil moisture retrieval from multispectral remote sensing using unoccupied aircraft systems and machine learning techniques.” Hydrology and Earth System Sciences. 25(5), 2739–2758.
Babaeian, E., M. Sadeghi, S. B. Jones, C. Montzka, H. Vereecken, and M. Tuller. (2019). “Ground, Proximal, and Satellite Remote Sensing of Soil Moisture.” Reviews of Geophysics. 57(2), 530–618.
Erdbrügger, J., I. van Meerveld, K. Bishop, and J. Seibert. (2021). “Effect of DEM-smoothing and -aggregation on topographically-based flow directions and catchment boundaries.” J Hydrol (Amst), 602.
Sparks, D. “A review of time domain reflectometry (TDR). 2021. applications in porous media.” In Advances in Agronomy, He, H., K. Aogu, M. Li, J. Xu, W. Sheng, S. B. Jones, J. D. González-Teruel, D. A. Robinson, R. Horton, K. Bristow, M. Dyck, V. Filipović, K. Noborio, Q. Wu, H. Jin, H. Feng, B. Si, and J. Lv. Academic Press, 83–155.
Kopecký, M., M. Macek, and J. Wild. (2021). “Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition.” Science of the Total Environment. 757, 1–10.
Murphy, C. R., N. J. Finnegan, and F. K. J. Oberle. (2022). “Vadose Zone Thickness Limits Pore-Fluid Pressure Rise in a Large, Slow-Moving Earthflow.” Journal of Geophysical Research Earth Surface. 127(6).
Nereson, A. L., S. Davila Olivera, and N. J. Finnegan. (2018). “Field and Remote-Sensing Evidence for Hydro-mechanical Isolation of a Long-Lived Earthflow in Central California.” Geophysical Research Letters. 45(18), 9672–9680.
Nereson, A. L., and N. J. Finnegan. (2018). “Drivers of earthflow motion revealed by an 80 yr record of displacement from Oak Ridge earthflow, Diablo Range, California, USA.” Bulletin of the Geological Society of America, 131(3–4), 389–402.
Pappalardo, G., S. Mineo, A. C. Angrisani, D. Di Martire, and D. Calcaterra. (2018). “Combining field data with infrared thermography and DInSAR surveys to evaluate the activity of landslides: the case study of Randazzo Landslide (NE Sicily).” Landslides, 15(11), 2173–2193.
Paruta, A., et al. (2021). “A Geostatistical Approach to Map Near-Surface Soil Moisture through Hyperspatial Resolution Thermal Inertia.” IEEE Transactions on Geoscience and Remote Sensing, 59(6), 5352–5369.
Price, J. C. “On the Analysis of Thermal Infrared Imagery: The Limited Utility of Apparent Thermal Inertia.” Remote Sensing of Environment, 18(1), 59–73.
Sadeghi, M., E. Babaeian, M. Tuller, and S. B. Jones. (2017). “The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations.” Remote Sensing of the Environment, 198, 52–68.
Zekkos, D., C. Champagne, J. Lynch, J. Manousakis, and A. Athanasopoulos-Zekkos. (2022). UAV-enabled Coupled Infrared and Optical Characterization of the May 19, 2020, Edenville Dam Failure in Michigan, Geo-Congress 2022. Charlotte, North Carolina; ASCE, https://ascelibrary.org/doi/book/10.1061/geocongress2022.
Zhang, D., and G. Zhou. (2016). “Estimation of soil moisture from optical and thermal remote sensing: A review.” Sensors, 16(8), 1308–1337.
Information & Authors
Information
Published In
History
Published online: Feb 22, 2024
ASCE Technical Topics:
- Analysis (by type)
- Data collection
- Distribution functions
- Engineering fundamentals
- Geohazards
- Geomatics
- Geomechanics
- Geotechnical engineering
- Landslides
- Mathematical functions
- Mathematics
- Measurement (by type)
- Methodology (by type)
- Regression analysis
- Research methods (by type)
- Sensors and sensing
- Soil mechanics
- Soil properties
- Soil water
- Spatial distribution
- Statistical analysis (by type)
- Surveying methods
- Temperature measurement
- Topography
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.