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• W3207428131 abstract "This work presents a remote sensing solution for sugarcane precision agriculture based on a drone-borne differential interferometric synthetic aperture radar (DlnSAR) operating in the P-, L-, and C-bands. With one flight pass, the system can estimate the soil moisture, the plantation height, and the above-ground biomass map; and predict the harvest date and the respective productivity. With two flight passes, it assesses the crop growth via differential interferometry. A new methodology dedicated to sugarcane plantation was developed based on the existing methodologies for soil moisture and biomass measurement. The image information from the three bands, plus the C-band InSAR and P-band DInSAR information, show immense potential for efficient and low-cost monitoring. The results validated the methodology in a large sugarcane mill." @default.
• W3207428131 created "2021-10-25" @default.
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• W3207428131 date "2021-07-11" @default.
• W3207428131 modified "2023-10-01" @default.
• W3207428131 title "Sugarcane Precision Monitoring by Drone-Borne P/L/C-Band DInSAR" @default.
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• W3207428131 doi "https://doi.org/10.1109/igarss47720.2021.9554723" @default.
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