Capability of Sentinel-2 data for estimating maximum evapotranspiration and irrigation requirements for tomato crop in Central Italy

REMOTE SENSING OF ENVIRONMENT

卷:215

Article

Vanino, Silvia¹  Nino, Pasquale¹  De Michele, Carlo²  Bolognesi, Salvatore Falanga²  D'Urso, Guido³  Di Bene, Claudia⁴  Pennelli, Bruno⁴  Vuolo, Francesco⁵  Farina, Roberta⁴  Pulighe, Giuseppe¹  Napoli, Rosario⁴ 

[1] CREA Res Ctr Agr Policies & Bioecon, Via Po 14, Rome, Italy

[2] ARIESPACE Srl, Ctr Direz IS A3, I-80143 Naples, Italy

[3] Univ Naples Federico II, Dept Agr Sci, Via Univ 100, I-80055 Portici, Italy

[4] CREA Res Ctr Agr & Environm, Via Navicella 2-4, Rome, Italy

[5] BOKU Univ, Inst Surveying Remote Sensing & Land Informat, Peter Jordan Str 82, A-1190 Vienna, Austria

关键词: Sentinel-2A;    Evapotranspiration in standard condition;    LAI;    EPIC model;    Irrigation requirements;    Tomato;    Multispectral;   

DOI  :  10.1016/j.rse.2018.06.035

来源: Elsevier

【 摘 要 】

The occurrence of water shortages ascribed to projected climate change, especially in the Mediterranean region, fosters the interest in remote sensing (RS) applications to optimize water use in agriculture. Remote sensing evapotranspiration and water demand estimation over large cultivated areas were used to manage irrigation to minimize losses during the crop growing cycle. The research aimed to explore the potential of the MultiSpectral Instrument (MSI) sensor on board Sentinel-2A to estimate crop parameters, mainly surface albedo (alpha) and Leaf Area Index (LAI) that influence the dynamics of potential evapotranspiration (ETp) and Irrigation Water Requirements (IWR) of processing tomato crop (Solanum lycopersicum L.). Maximum tomato ETp was calculated according to the FAO Penman-Monteith equation (FAO-56 PM) using appropriate values of canopy parameters derived by processing Sentinel-2A data in combination with daily weather information. For comparison, we used the actual crop evapotranspiration (ETa) derived from the soil water balance (SWB) module in the Environmental Policy Integrated Climate (EPIC) model and calibrated with in-situ Root Zone Soil Moisture (RZSM). The experiment was set up in a privately-owned farm located in the Tarquinia irrigation district (Central Italy) during two growing seasons, within the framework of the EU Project FATIMA (FArming Tools for external nutrient Inputs and water Management). The results showed that canopy growth, maximum evapotranspiration (ETp) and IWR were accurately inferred from satellite observations following seasonal rainfall and air temperature patterns. The net estimated IWR from satellite observations for the two-growing seasons was about 272 and 338 mm in 2016 and 2017, respectively. Such estimated requirement was lower compared with the actual amount supplied by the farmer with sprinkler and drip micro-irrigation system in both growing seasons resulting in 364 (276 mm drip micro-irrigation, and 88 mm sprinkler) and 662 (574 mm drip micro-irrigation, and 88 mm sprinkler) mm, respectively. Our findings indicated the suitability of Sentinel-2A to predict tomato water demand at field level, providing useful information for optimizing the irrigation over extended farmland.

【 授权许可】

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