Multiscale object-based drought monitoring and comparison in rainfed and irrigated agriculture from Landsat 8 OLI imagery
作者： Emre Ozelkan , Gang Chen , Burak Berk Ustundag , None
DOI: 10.1016/J.JAG.2015.08.003
关键词:
摘要: Abstract Drought is a rapidly rising environmental issue that can cause hardly repaired or unrepaired damages to the nature and socio-economy. This especially true for region features arid/semi-arid climate, including Turkey's most important agricultural district — Southeast Anatolia. In this area, we examined uncertainties of applying Landsat 8 Operational Land Imager (OLI) NDVI data estimate meteorological drought – Standardized Precipitation Index (SPI) measured from 31 in-situ agro-meteorological monitoring stations during spring summer 2013 2014. Our analysis was designed address two important, yet under-examined questions: (i) how does co-existence rainfed irrigated agriculture affect remote sensing in an region? (ii) What role spatial scale using GEOBIA (geographic object-based image analysis) framework? Results show exerted higher impact on drier year 2013, which small scales were found outperform large general. addition, consideration areas separately ensured better performance analysis. Compared positive correlations between SPI over areas, negative determined areas. Finally, time lag effect evident study, i.e., strong both reflects fact watering crucial growth yield major crops (i.e., winter wheat, barley lentil) cultivated region.
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