Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Valquíria Castro"'
Autor:
Gian Oré, Marlon S. Alcântara, Juliana A. Góes, Bárbara Teruel, Luciano P. Oliveira, Jhonnatan Yepes, Valquíria Castro, Leonardo S. Bins, Felicio Castro, Dieter Luebeck, Laila F. Moreira, Rodrigo Cintra, Lucas H. Gabrielli, Hugo E. Hernandez-Figueroa
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1734 (2022)
This article presents a novel method for predicting the sugarcane harvesting date and productivity using a three-band imaging radar. Taking advantage of working with a multi-band radar, this system was employed to estimate the above-ground biomass (A
Externí odkaz:
https://doaj.org/article/28b8b79ecff94083800eb6cb61742b8a
Autor:
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
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 615 (2020)
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 sens
Externí odkaz:
https://doaj.org/article/2272209695be4a9db45c87765891b535
Publikováno v:
Sensors, Vol 21, Iss 15, p 5099 (2021)
This paper presents a fast factorized back-projection (FFBP) algorithm that can satisfactorily process real P-band synthetic aperture radar (SAR) data collected from a spiral flight pattern performed by a drone-borne SAR system. Choosing the best set
Externí odkaz:
https://doaj.org/article/0454851a0afe40df838db63b8e7ee434