Very high resolution aerial data to support multi-temporal precision agriculture information management
作者： Luís Pádua , Telmo Adão , Jonáš Hruška , Joaquim J Sousa , Emanuel Peres
DOI: 10.1016/J.PROCS.2017.11.055
关键词:
摘要: Abstract The usage of small-sized unmanned aerial systems (UAS) has increased in the last years, many different areas, being agriculture and forestry those who benefit most from this relatively new remote sensing platform. Leaf area index, canopy plant volume are among parameters that can be determined using very high resolution data obtained by sensors coupled vehicles (UAV). This technology affords possibility monitoring vegetative development, identifying types issues, enabling application appropriated treatments affected areas. In paper, a methodology allowing to perform multi-temporal UAS-based analysis is proposed. A case study vineyards chestnuts used prove benefits continuous crop its management productivity agroforestry parcels/activities.
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