Antenas para radar de abertura sintética embarcado em drone

Castro, Felício Harley Garcia de

doi:10.47749/t/unicamp.2018.1126375

Cited by 2 publications

(1 citation statement)

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“…Such an algorithm offers advantages over frequency domain algorithms, such as built-in georeferentiation and motion compensation, however, previous knowledge of the time-varying position of the antenna and the three-dimensional position of the mapped terrain or Digital Elevation Model (DEM) is required [38]. The SAR images were radiometrically corrected considering the distance between the platform and the illuminated target, the bidirectional antenna pattern [40], and the number of pulses used to construct the synthetic aperture by the back-projection algorithm. For the SAR images' absolute calibration, corner reflectors with known theoretical radar cross-section (RCS) were used and located over the illuminated scene.…”

Section: Sar Systemmentioning

confidence: 99%

Predicting Sugarcane Harvest Date and Productivity with a Drone-Borne Tri-Band SAR

et al. 2022

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This article presents a novel method for predicting the sugarcane harvesting date and productivity using a three-band imaging radar. Taking advantage of working with a multi-band radar, this system was employed to estimate the above-ground biomass (AGB), achieving a root-mean-square error (RMSE) of 2 kg m−2 in sugarcane crops, which is an unprecedented result compared with other works based on the Synthetic Aperture Radar (SAR) system. By correlating the field measurements of the ripening index (RI) with the AGB measurements by radar, an indirect estimate of the RI by the radar is obtained. It is observed that the AGB reaches its maximum approximately 280 days after planting and the maximum RI, which defines the harvesting date, approximately 360 days after planting for the species IACSP97-4039. Starting from an AGB map collected by the radar, it is then possible to predict the harvesting date and the corresponding productivity with competitive average errors of 8 days and 10.7%, respectively, with three months in advance, whereas typical methods employed on a test site achieve an average error of 30 days with three months in advance. To the best of our knowledge, it is the first time that a multi-band radar is employed for productivity prediction in sugarcane crops.

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Section: Sar Systemmentioning

confidence: 99%