Discriminating Irrigated and Rainfed Maize with Diurnal Fluorescence and Canopy Temperature Airborne Maps

摘要: This study evaluates the potential of airborne remote sensing images to detect water stress in maize. Visible and near infrared CASI (Itres Research Ltd., Calgary, AL, Canada) thermal AHS-160 (Sensytech Inc., Beverly, MA, USA) data were acquired at three different times during day on a maize field (Zea mays L.) grown with irrigation treatments. An intensive campaign was also conducted concurrently image acquisition measure leaf ecophysiological parameters area index. The analysis showed that plants experiencing moderate severe rainfed plots weaker condition deficit imposed between stem elongation flowering. Vegetation indices including normalized difference vegetation index (NDVI) photochemical reflectance (PRI) computed from images, sun-induced chlorophyll fluorescence (F760) canopy temperature (Tc) performances describing day. During morning overpass, NDVI highest discriminant power due sensitivity structure, affected by treatment. As progressed, processes related heat dissipation through plant transpiration became more important midday Tc best performances. Furthermore, retrieved only able distinguish all classes status. Finally, afternoon, PRI F760 These results demonstrate feasibility using optical data, pointing out importance careful planning surveys as function specific aims study.