In the context of the RHEA European project addressing site-specific weeding on arable crops, a complete aerial image acquisition chain has been developed, providing a georeferenced multispectral image of a total parcel with 1 cm spatial resolution. Robust automatic ground control point detection and near infrared-visible sensor image registration modules have been implemented and associated with the MicMac photogrammetric software suite to provide a fully automatized mosaicking procedure. This procedure has been successfully applied on various maize and wheat crops for weed patch detection, but could be extended to other precision agriculture applications, especially those requiring a very high spatial resolution.
In a context of climate change and expected increasing drought frequency, it is important to select tree species adapted to water deficit. Experimentation in tree nurseries makes it possible to control for various factors such as water supply. We analyzed the spectral responses for two genetic varieties of Douglas fir sapling exposed to different levels of water deficit. Our results show that the mean NDVI derived from remote sensing at very low altitudes clearly differentiated stress levels while genetic varieties were partially distinguished.
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