High spatial resolution thermal infrared data from airborne acquisition reveal inconsistencies in evapotranspiration and crop water stress retrieval from different models

As agriculture is the largest consumer of water worldwide, water use efficiency and the impacts of water stress on crops are of critical concerns. This study investigates the diurnal and spatial variability of evapotranspiration and crop water stress by integrating very high spatial resolution (1–4 ...

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Vydáno v:Remote sensing applications Ročník 38; s. 101563
Hlavní autoři: Corbari, C., Hu, T., Paciolla, N., Schlerf, M., Mallick, K., Ronellenfitsch, F.K., Ceppi, A., Crisafulli, V., Bossung, C., Feki, M., Llorens, R., Skokovic, D., Al Bitar, A., Sobrino, J., Mancini, M.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.04.2025
Témata:
Airborne data
cameras
Crop water stress
data collection
eddy covariance
energy balance
environment
Evapotranspiration
irrigation rates
irrigation systems
Italy
land cover
Land surface temperature
latent heat
stress management
Surface energy balance models
surface temperature
surveys
vegetables
vegetation
water stress
water use efficiency
Italy
Airborne data
Land surface temperature
Surface energy balance models
Crop water stress
Evapotranspiration
ISSN:2352-9385, 2352-9385
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Shrnutí:As agriculture is the largest consumer of water worldwide, water use efficiency and the impacts of water stress on crops are of critical concerns. This study investigates the diurnal and spatial variability of evapotranspiration and crop water stress by integrating very high spatial resolution (1–4 m) airborne thermal infrared (TIR) data with visible and near infrared data from Planet satellites (3.7 m). These datasets were incorporated into three surface energy balance models with contrasting structures: the numerical FESTresidual, the analytical STIC, and the semi-empirical S-SEBI models. The analysis focused on an agricultural area in central Italy, comprising several orchards and vegetable fields. An intensive airborne survey campaign using a hyperspectral TIR camera was conducted in July 2022, with three overpasses per day. Planet data were used to derive vegetation biophysical parameters. The three models were evaluated against measured energy fluxes from an eddy-covariance station, showing inconsistent results throughout the day, with the greatest disparities occurring at midday, and across various land cover types. Additionally, the impacts of irrigation system, timing, and volumes on airborne land surface temperature (LST) and modeled latent heat (LE) were analyzed, showing significant differences. Finally, the crop water stress index effectively distinguished between fully irrigated fields and non-irrigated areas, providing valuable insights for water stress management in agriculture. •Analyses of the spatial patterns of evapotranspiration and crop water stress.•Very high spatial resolution thermal infrared data from airborne measurements.•Inconsistent results among three SEB models throughout the day.•Detection of crop water stress conditions and the effect of irrigation on ET.
Bibliografie:ObjectType-Article-1
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ISSN:2352-9385
2352-9385
DOI:10.1016/j.rsase.2025.101563