HR: 1340h
AN: B13D-1528    [Abstracts]
TI: A new flexible airborne multispectral sensor for agriculture and forestry applications
AU: * Papale, D
EM: darpap@unitus.it
AF: DISAFRI - University of Tuscia, via C. de Lellis, Viterbo, 01100, Italy
AU: Belli, C
EM: c.belli@terrasystem.it
AF: Terrasystem srl, via Pacinotti, 5 - www.terrasystem.it, Viterbo, 01100, Italy
AU: Calvani, P
EM: polcal@unitus.it
AF: DISAFRI - University of Tuscia, via C. de Lellis, Viterbo, 01100, Italy
AU: Gioli, B
EM: b.gioli@ibimet.cnr.it
AF: CNR IBIMET, via Giovanni Caproni, 8, Firenze, 50145, Italy
AU: Noce, S
EM: vannini@unitus.it
AF: DIPROP - University of Tuscia, via C. de Lellis, Viterbo, 01100, Italy
AU: Vannini, A
EM: vannini@unitus.it
AF: DIPROP - University of Tuscia, via C. de Lellis, Viterbo, 01100, Italy
AB: Fragmentation and heterogeneity are typical features of European agricultural landscape, and precision farming applications in this context require high spatial and temporal resolution monitoring devices. Recent studies have demonstrated that vegetation indices utilizing narrow and close to each other wavelengths (like PRI or red edge indices), that are not generally available on satellite sensors, are particularly promising. The high cost associated with the use and the data processing of airborne hyperspectral sensors limits their operational utilization. DISAFRI of Tuscia University and IBIMET CNR, in collaboration with Terrasystem srl, have developed in the last years a suite of sensors that can be installed on small and flexible aerial platforms, allowing airborne remote sensing to be used as an effective operational tool in new environmental monitoring applications. Such sensors include a digital CCD multispectral camera (ASPIS) capable of acquiring images in 4 spectral user selectable bands. This instrument has been used for agricultural applications, that will be illustrated: the estimate of protein content of durum wheat during the pre-harvesting phase and the mapping of chestnut phytopaties in central Italy. The advantages and the limits of this kind of sensors and applications, based on such practical experiences, will be finally highlighted.
DE: 0402 Agricultural systems
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: 2007 Fall Meeting