2022
DOI: 10.1016/j.agrformet.2022.108882
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Assessment of an extended SPARSE model for estimating evapotranspiration from directional thermal infrared data

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Cited by 8 publications
(3 citation statements)
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“…The magnitude of ET bias across different VZAs is close. We infer this is partly because the angular variation of thermal radiation is not pronounced when VZA is below 30° (Ermida et al 2018;Hu et al 2019;Mwangi et al 2022). Moreover, the high spatial homogeneity at the EC sites (Fisher et al 2020) is also an important factor for the weak angular variation of thermal radiation.…”
Section: Comparison Between Stic and Pt-jplmentioning
confidence: 76%
“…The magnitude of ET bias across different VZAs is close. We infer this is partly because the angular variation of thermal radiation is not pronounced when VZA is below 30° (Ermida et al 2018;Hu et al 2019;Mwangi et al 2022). Moreover, the high spatial homogeneity at the EC sites (Fisher et al 2020) is also an important factor for the weak angular variation of thermal radiation.…”
Section: Comparison Between Stic and Pt-jplmentioning
confidence: 76%
“…The average ET biases for STIC and SEBS are close to 5 and 15 W m −2 , respectively across different bins of VZA, which is higher for TSEB (∼50 W m −2 ). We infer this is partly because the angular variation of thermal radiation is not pronounced when VZA is below 30° (Ermida et al, 2018;Hu et al, 2019;Mwangi et al, 2022). Moreover, the high spatial homogeneity at the EC sites (Fisher et al, 2020) is also an important factor for the weak angular variation of thermal radiation.…”
Section: Factors Affecting Model Performancesmentioning
confidence: 87%
“…They could therefore jeopardize the detection and monitoring of water stress as well as other downstream products (Mwangi et al, 2022). A normalization effort seems mandatory in order to reach the target accuracy of 1K for LST.…”
Section: Introductionmentioning
confidence: 99%