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Optical Trapezoid Model (OPTRAM) model-based plot-level soil moisture mapping using Sentinel-2 imagery
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AI
DOI：10.1080/2150704X.2026.2650390.png)
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Abstract
En 中文
The Optical Trapezoid Model (OPTRAM) utilizes remotely sensed data to accurately determine soil moisture by analysing the relationship between the Normalized Difference Vegetation Index (NDVI) and transformed short-wave infrared (STR) values. The main goal was a plot-scale OPTRAM validation, demonstrating the applicability of the model on various soils at the resolution of Sentinel-2. First, in the spring of 2020, more than 1,400 in situ measurements were carried out with Spectrum FieldScout TDR 350 instrument on ground surfaces at the same time as Sentinel-2 satellite image acquisitions. The correlation coefficient (r) between in situ measured and OPTRAM estimated soil moisture shows high values (r = 0.70-0.80), particularly on bare soil surfaces. As a second element of the investigation, in the fall of 2023, Sentinel-2 time-series data were compared with in situ data from three soil moisture monitoring stations, resulting in a strong correlation (r = 0.80-0.85). The OPTRAM-based methodology demonstrates significant potential for remote sensing-based soil moisture determination and illustrates well time-series variation, improving the scalability and accuracy of drought while emphasizing the need for integrating soil properties context to enhance accuracy in plot-level analyses.
Keywords:
Soil moisture
OPTRAM
Sentinel-2
plot-level