Crop Growth Monitoring with Drone-Borne DInSAR

Accurate, high-resolution maps of for crop growth monitoring are strongly needed by precision agriculture. The information source for such maps has been supplied by satellite-borne radars and optical sensors, and airborne and drone-borne optical sensors. This article presents a novel methodology for...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2020-02, Vol.12 (4), p.615
Main Authors: Oré, Gian, Alcântara, Marlon S., Góes, Juliana A., Oliveira, Luciano P., Yepes, Jhonnatan, Teruel, Bárbara, Castro, Valquíria, Bins, Leonardo S., Castro, Felicio, Luebeck, Dieter, Moreira, Laila F., Gabrielli, Lucas H., Hernandez-Figueroa, Hugo E.
Format: Article
Language:English
Subjects:
crop growth deficit map
differential interferometry
dinsar
drone-borne radar
precision agriculture
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Summary:Accurate, high-resolution maps of for crop growth monitoring are strongly needed by precision agriculture. The information source for such maps has been supplied by satellite-borne radars and optical sensors, and airborne and drone-borne optical sensors. This article presents a novel methodology for obtaining growth deficit maps with an accuracy down to 5 cm and a spatial resolution of 1 m, using differential synthetic aperture radar interferometry (DInSAR). Results are presented with measurements of a drone-borne DInSAR operating in three bands—P, L and C. The decorrelation time of L-band for coffee, sugar cane and corn, and the feasibility for growth deficit maps generation are discussed. A model is presented for evaluating the growth deficit of a corn crop in L-band, starting with 50 cm height. This work shows that the drone-borne DInSAR has potential as a complementary tool for precision agriculture.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs12040615