Evaluating water stress in irrigated durum wheat based on remote sensing technique
Abstract
The Mediterranean water resources are almost fully exploited in many areas and the impactson water scarcity are projected to multiply under climate change. The most effective mean tosave water appear to be through the adoption of carefully managed irrigation strategies. Plantindicators enable the grower to use the plant directly for clues as to when irrigate. Theseindicators could be obtained through the use of remote sensing that is widely involved innumerous disciplines such as agriculture. Remote sensing is one of the solutions that cansignificantly contribute to providing a timely and accurate imagery of the agricultural sector.The main objective of this study is to compare satellite and ground-based sensing techniquesas tools describing the variations of crop stress related indices under different water regimes(case of durum wheat). The experimental layout was established in Policoro (Matera) locatedin Southern Italy about 3 km far from the Ionian coast. The growing season was fromFebruary to June 2015 with three distinguished water management practices (rain-fed, 50%and 100% of irrigation requirements). The Landsat 8 images and ground-based sensing datawere acquired regularly in April, May and June together with plant physiological parameters.The overall results indicated no significant differences of both biomass and yield among theirrigation regimes. This could be explained by the abundant precipitation (205 mm) whichlimited the needs for irrigation. Correlated to the leaf gas exchange parameters, Water Index(WI), CWSI_Jackson and CWSI_Alves and Pereira performed better than CWSI_Idso. WaterDeficit Index (WDI) was found strongly related to plant water status, than Crop Water StressIndex (CWSI) with average R² of 0.96 in respect to 0.57 (CWSI_Idso). High correlationappear to be evident for satellite and ground-based derived WDI regressions (R²=0.81).Nevertheless, the satellite data could provide reasonable indications about the crop statuswhen other means of measurement are missing.
Autore Pugliese
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Mzid N.; Todorovic M.; Albrizio R.; Cantore V.
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Anno di pubblicazione
2017
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