See more from this Session: Remote Sensing and Regional Scale Modeling
Throughout the course of the 4 year experiment, remote sensing images were acquired from different sources and different spatial and spectral resolutions. The satellite images were from IKONOS and RapidEye. The spatial scale of the images were similar (4 and 5 mt) but RapidEye allowed us to develop vegetation indices based on the Red Edge band which sensitive to plant chlorophyll content. Airbone images were taken on two dates at a fine spatial resolution (75 cm) but coarser spectral visible and NIR bands. All the images where taken in conjunctions with narrow band hyperspectral handheld radiometer field observation.
Yield maps and vegetation indices maps (NDVI, CCCI etc) were highly correlated throughout the years and consistent among remote sensing platforms. Weather variability effect on yield were assessed using cropm models. The weather affected the stability of yield with variation in the spatial patterns.