| Full text | |
| Author(s): Show less - |
Ore, Gian
[1]
;
Alcantara, Marlon S.
[1]
;
Goes, Juliana A.
[1]
;
Oliveira, Luciano P.
[1]
;
Yepes, Jhonnatan
[2]
;
Teruel, Barbara
[2]
;
Castro, Valquiria
[1]
;
Bins, Leonardo S.
[3]
;
Castro, Felicio
[1]
;
Luebeck, Dieter
[4]
;
Moreira, Laila F.
[4]
;
Gabrielli, Lucas H.
[1]
;
Hernandez-Figueroa, Hugo E.
[1]
Total Authors: 13
|
| Affiliation: | [1] Univ Estadual Campinas, UNICAMP, Sch Elect & Comp Engn, BR-13083852 Campinas - Brazil
[2] Univ Estadual Campinas, UNICAMP, Sch Agr Engn, BR-13083875 Campinas - Brazil
[3] Natl Inst Space Res INPE, BR-12227010 Sao Jose Dos Campos - Brazil
[4] Radaz Ind Comercio Prod Eletron Ltda, BR-12244000 Sao Jose Dos Campos - Brazil
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | REMOTE SENSING; v. 12, n. 4 FEB 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 17/19416-3 - Drone-borne radar for sugar cane precision agriculture |
| Grantee: | Hugo Enrique Hernández Figueroa |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |
| FAPESP's process: | 18/00601-8 - Remote sensing radar carried by drone |
| Grantee: | Dieter Lubeck |
| Support Opportunities: | Research Grants - Innovative Research in Small Business - PIPE |