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Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy

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  • Autovino, Dario
  • Minacapilli, Mario
  • Provenzano, Giuseppe

Abstract

In this study, accurate estimates of daily actual evapotranspiration, ETa, were obtained based on the direct Penman–Monteith application, in which the bulk surface resistance term was computed by considering, as main input, daily remotely sensed Land Surface Temperature (LST). In particular, Eddy Covariance measurements of ETa, associated to LST obtained by MODIS time series (MOD11A2) characterized by 8-day resolution, allowed to calibrate a simple bulk surface resistance model, based on two-years of data observations collected in a quite homogeneous irrigation district of Sicily, where olive grove is the main crop. The model was then validated by an independent database collected over four different years.

Suggested Citation

  • Autovino, Dario & Minacapilli, Mario & Provenzano, Giuseppe, 2016. "Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy," Agricultural Water Management, Elsevier, vol. 167(C), pages 86-94.
    • Handle: RePEc:eee:agiwat:v:167:y:2016:i:c:p:86-94
    DOI: 10.1016/j.agwat.2016.01.006
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    1. Negm, Amro & Minacapilli, Mario & Provenzano, Giuseppe, 2018. "Downscaling of American National Aeronautics and Space Administration (NASA) daily air temperature in Sicily, Italy, and effects on crop reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 209(C), pages 151-162.
    2. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2016. "Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study," Agricultural Water Management, Elsevier, vol. 177(C), pages 66-76.
    3. Mouna Aïachi Mezghani & Amel Mguidiche & Faiza Allouche Khebour & Imen Zouari & Faouzi Attia & Giuseppe Provenzano, 2019. "Water Status and Yield Response to Deficit Irrigation and Fertilization of Three Olive Oil Cultivars under the Semi-Arid Conditions of Tunisia," Sustainability, MDPI, vol. 11(17), pages 1-18, September.
    4. Zhao, Wenzhi & Chang, Xuexiang & Chang, Xueli & Zhang, Dengrong & Liu, Bing & Du, Jun & Lin, Pengfei, 2018. "Estimating water consumption based on meta-analysis and MODIS data for an oasis region in northwestern China," Agricultural Water Management, Elsevier, vol. 208(C), pages 478-489.
    5. De Caro, Dario & Ippolito, Matteo & Cannarozzo, Marcella & Provenzano, Giuseppe & Ciraolo, Giuseppe, 2023. "Assessing the performance of the Gaussian Process Regression algorithm to fill gaps in the time-series of daily actual evapotranspiration of different crops in temperate and continental zones using gr," Agricultural Water Management, Elsevier, vol. 290(C).
    6. Li, Hongjun & Li, Chunqiang & Xing, Kaicheng & Lei, Yuping & Shen, Yanjun, 2024. "Surface temperature adjustment in METRIC model for monitoring crop water consumption in North China Plain," Agricultural Water Management, Elsevier, vol. 291(C).
    7. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    8. Walker, Elisabet & García, Gabriel A. & Venturini, Virginia & Carrasco, Aylen, 2019. "Regional evapotranspiration estimates using the relative soil moisture ratio derived from SMAP products," Agricultural Water Management, Elsevier, vol. 216(C), pages 254-263.
    9. Cheng, Minghan & Jiao, Xiyun & Jin, Xiuliang & Li, Binbin & Liu, Kaihua & Shi, Lei, 2021. "Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors," Agricultural Water Management, Elsevier, vol. 255(C).

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