Evapotranspiration Retrieval Using S-SEBI Model with Landsat-8 Split-Window Land Surface Temperature Products over Two European Agricultural Crops

نویسندگان

چکیده

Crop evapotranspiration (ET) is a key variable within the global hydrological cycle to account for irrigation scheduling, water budgeting, and planning of resources associated with in croplands. Remote sensing techniques provide geophysical information at large spatial scale over relatively long time series, even make possible retrieval ET high spatiotemporal resolutions. The present short study analyzed daily maps generated S-SEBI model, adapted Landsat-8 retrieved land surface temperatures broadband albedos, two different crop sites consecutive years (2017–2018). Maps were determined using Collection 2 data, after applying split-window (SW) algorithm proposed operational SW product, which will be implemented future 3. Preliminary results showed good agreement ground reference data main energy balance fluxes Rn LE, values, RMSEs around 50 W/m2 0.9 mm/d, respectively, correlation coefficient (R2 = 0.72–0.91). acceptable uncertainties observed when comparing local reaffirmed regional (spatial resolution 9 km) comparison reanalysis obtained from ERA5-Land showing StDev RMSE 1.1 MAE MBE ?0.3 mm/d. This communication tries show some preliminary findings framework ongoing Tool4Extreme research project, one objectives understanding characterization Mediterranean region, since it improve management context climate change effects.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2022

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs14112723