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

fYear

2012

fDate

22-27 July 2012

Firstpage

6581

Lastpage

6584

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352091

Filename

6352091