Crop Growth Monitoring with Drone-Borne DInSAR
| Autor: | Lucas H. Gabrielli, Leonardo Sant’Anna Bins, Hugo E. Hernandez-Figueroa, Gian Ore, Marlon S. Alcântara, Jhonnatan Yepes, Felicio Castro, Luciano P. Oliveira, Dieter Luebeck, Bárbara Teruel, Laila Moreira, Juliana A. Goes, Valquiria Castro |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
precision agriculture
010504 meteorology & atmospheric sciences Sugar cane 0211 other engineering and technologies Crop growth 02 engineering and technology 01 natural sciences Drone differential interferometry DInSAR drone-borne radar crop growth deficit map dinsar General Earth and Planetary Sciences Environmental science lcsh:Q Precision agriculture lcsh:Science Decorrelation Synthetic aperture radar interferometry Image resolution 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Remote Sensing, Vol 12, Iss 4, p 615 (2020) Remote Sensing; Volume 12; Issue 4; Pages: 615 |
| ISSN: | 2072-4292 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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