Title :
Validation of BiPLS for improving yield estimation of rice paddy from hyperspectral data in West Java, Indonesia
Author :
Takayama, Taichi ; Uchida, Atsushi ; Sekine, Hozuma ; Fukuhara, Kotaro ; Yoshida, Keigo ; Kashimu, Osamu ; Muljono, Sidik ; Arief, Deny ; Evri, M. ; Sadly, Muhamad
Author_Institution :
Mitsubishi Res. Inst., Inc., Tokyo, Japan
Abstract :
Rice is one of the important agricultural crops and constitutes major staple food for Asian countries, especially in Indonesia. Monitoring and management of paddy fields are one of key factors for ensuring national food security, and remote sensing technology and its data, especially hyperspectral data, are expected to be a highly effective solution. The objective of this paper is to use airborne hyperspectral data and yield data to develop and validate a high performance prediction model based on a statistical technique for yield of rice paddy.
Keywords :
crops; least squares approximations; regression analysis; vegetation mapping; BiPLS validation; Indonesia; agricultural crops; backward interval partial least square regression; hyperspectral data; national food security; paddy field management; paddy field monitoring; remote sensing data; remote sensing technology; rice paddy; statistical technique; west Java; yield estimation; Agriculture; Data models; Hyperspectral imaging; Predictive models; Reflectivity; Training data; BiPLS; HyMAP; Hyperspectral data; rice; yield;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352091
