Spectral pattern analysis of rice varieties with proximal sensing method and sentinel-2 imagery. Issue 1 (1st January 2023)

• Record Type: Journal Article
• Authors: Samsul Maarif, Muhamad; Barus, Baba; Syamsul Iman, La Ode; Iskandar, Wahyu; Hongo, Chiharu
• Is Part Of: IOP conference series. Volume 1133:Issue 1(2023)
• Publication Date: 2023-01-01
• Subjects: Growth stage -- reflectance value -- satellite image -- spectroradiometer; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/1133/1/012073
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Rice growth monitoring through remote sensing devices, such as Sentinel-2 imagery has been widely used, yet the accuracy level is different due to variations in altitude and object reflectance. Proximal sensing provides site (ground-level) monitoring via high-resolution sensors. Spectroradiometer is a proximal sensing device that can continuously record the spectral pattern of an object. This research aims to examine the spectral pattern characteristic of Grendel sticky and Ciherang rice varieties based on proximal sensing and to investigate the relationship between the reflectance value of spectroradiometer measurements and Sentinel-2 image extraction. Based on the spectral pattern analysis, the Ciherang variety reached the maximum reflectance value for red-edge and NIR wavelength at 56 DAP (reproductive stage) and then decreased at 81 DAP (ripening stage). In comparison, the Grendel variety reached 81 DAP (reproductive stage) and dropped to 86 DAP (ripening stage). Based on linear regression, at 56, 81, 86, and 90, DAP indicated the reflectance values of spectroradiometer measurement are equivalent to the value of sentinel-2 image extraction with an average of R 2 above 86%.