Share Email Print

Proceedings Paper

Paddy and non-paddy crops mapping using multi-temporal data of Sentinel-1A in part of Bantul Regency
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Monitoring of rice field, as a place for producing rice is very important to realize one aspect of food security, namely food availability. Modern agriculture has been widely utilize remote sensing data, especially optical images for monitoring agricultural land in various aspects of land management. However, the use of optical images is hampered by cloud cover when monitoring rice fields because most of them located in tropical countries, so there is an alternative to using SAR imagery that has ability to penetrate clouds. One of the SAR image products is Sentinel-1A with band C on its sensors which was launched in 2014 and the data can be utilized by the wider community for free. The purpose of this study was to determine the ability of multitemporal Sentinel-1A SAR imagery in identifying paddy and non-paddy in Bantul Regency’s agriculture field which was measured through its mapping accuracy. Sentinel-1A multi-temporal images with ten recording dates from February to May 2018 were used as the main data for this study. The method used is a digital classification with two approaches i.e. parametric with MLC algorithm and non-parametric with k-NN algorithm. In addition, the Sentinel-1A, which consists of VV and VH polarization, performed in three classification schemes (VV multi-temporal, VH multi-temporal, and VV and VH multi-temporal). The classification results show that multi-temporal Sentinel-1A can be used to identify paddy and non-paddy fields with an accuracy of 77.69% (VV multitemporal-MLC), 82.15% (VH multi-temporal-MLC), 88.45% (VV and VH multi-temporal-MLC), 76.64% (VV multitemporal-kNN), 78.47% (VH multi-temporal-kNN) and 79.52% (VV and VH multi-temporal-kNN).

Paper Details

Date Published: 24 December 2019
PDF: 11 pages
Proc. SPIE 11372, Sixth International Symposium on LAPAN-IPB Satellite, 113720G (24 December 2019); doi: 10.1117/12.2540635
Show Author Affiliations
Ruwanda Prasetya, Univ. Gadjah Mada (Indonesia)
Projo Danoedoro, Univ. Gadjah Mada (Indonesia)

Published in SPIE Proceedings Vol. 11372:
Sixth International Symposium on LAPAN-IPB Satellite
Yudi Setiawan; Lilik Budi Prasetyo; Tien Dat Pham; Kasturi Devi Kanniah; Yuji Murayama; Kohei Arai; Gay Jane P. Perez, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?