Crop Growth Monitoring with Drone-Borne DInSAR

Gian Oré; Marlon  S. Alcântara; Juliana  A. Góes; Luciano  P. Oliveira; Jhonnatan Yepes; Bárbara Teruel; Valquíria Castro; Leonardo  S. Bins; Felicio Castro; Dieter Luebeck; Laila  F. Moreira; Lucas  H. Gabrielli; Hugo  E. Hernandez-Figueroa

doi:10.3390/rs12040615

Remote Sensing (Feb 2020)

Crop Growth Monitoring with Drone-Borne DInSAR

Gian Oré,
Marlon S. Alcântara,
Juliana A. Góes,
Luciano P. Oliveira,
Jhonnatan Yepes,
Bárbara Teruel,
Valquíria Castro,
Leonardo S. Bins,
Felicio Castro,
Dieter Luebeck,
Laila F. Moreira,
Lucas H. Gabrielli,
Hugo E. Hernandez-Figueroa

Affiliations

Gian Oré: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Marlon S. Alcântara: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Juliana A. Góes: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Luciano P. Oliveira: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Jhonnatan Yepes: School of Agricultural Engineering, University of Campinas—UNICAMP, Campinas 13083-875, Brazil
Bárbara Teruel: School of Agricultural Engineering, University of Campinas—UNICAMP, Campinas 13083-875, Brazil
Valquíria Castro: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Leonardo S. Bins: National Institute for Space Research—INPE, São José dos Campos 12227-010, Brazil
Felicio Castro: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Dieter Luebeck: Radaz Indústria e Comércio de Produtos Eletrônicos Ltda., São José dos Campos 12244-000, Brazil
Laila F. Moreira: Radaz Indústria e Comércio de Produtos Eletrônicos Ltda., São José dos Campos 12244-000, Brazil
Lucas H. Gabrielli: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil
Hugo E. Hernandez-Figueroa: School of Electrical and Computer Engineering, University of Campinas—UNICAMP, Campinas 13083-852, Brazil

DOI: https://doi.org/10.3390/rs12040615
Journal volume & issue: Vol. 12, no. 4
p. 615

Abstract

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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.

Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

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