Satellite Imagery for Classification of Rice Growth Phase Using Freeman Decomposition in Indramayu, West Java, Indonesia

  Monitoring at every growth of rice plants is an important information for determining the grain pro-duction estimation of rice. Monitoring must to be have timely work on the rice plant development. However, timely monitoring and the high accuracy of information is a challenge in remote sensing bas...

Full description

Saved in:
Bibliographic Details
Main Authors: Nurtyawan, Rian (Author), Saepuloh, Asep (Author), Harto, Agung Budi (Author), Wikantika, Ketut (Author), Kondoh, Akihiko (Author)
Format: EJournal Article
Published: Bogor Agricultural University, Indonesia, 2018-10-24.
Subjects:
Online Access:Get fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02921 am a22003013u 4500
001 HAYATI_23825_15501
042 |a dc 
100 1 0 |a Nurtyawan, Rian  |e author 
700 1 0 |a Saepuloh, Asep  |e author 
700 1 0 |a Harto, Agung Budi  |e author 
700 1 0 |a Wikantika, Ketut  |e author 
700 1 0 |a Kondoh, Akihiko  |e author 
245 0 0 |a Satellite Imagery for Classification of Rice Growth Phase Using Freeman Decomposition in Indramayu, West Java, Indonesia 
260 |b Bogor Agricultural University, Indonesia,   |c 2018-10-24. 
500 |a https://journal.ipb.ac.id/index.php/hayati/article/view/23825 
520 |a   Monitoring at every growth of rice plants is an important information for determining the grain pro-duction estimation of rice. Monitoring must to be have timely work on the rice plant development. However, timely monitoring and the high accuracy of information is a challenge in remote sensing based on rice agriculture monitoring and observation. With increased quality of synthetic aperture radar (SAR) systems utilizing polarimetric information recently, the development and applications of polarimetric SAR (PolSAR) are one of the current major topics in radar remote sensing. The ad-vantages provided by PolSAR data for agricultural monitoring have been extensively studied for applications such as crop type classification and mapping, crop phenology monitoring, productivity assessment based on the sensitivity of polarimetric parameters to indicators of crop conditions. Freeman and Durden successfully decomposed fully PolSAR data into three components: Single bounce, double bounce, and volume scattering. The three-component scattering provide features for distinguishing between different surface cover types. These sensitivities assist in the identification of growing phase. The observed growing phase development in time series, reflected in the consistent temporal trends in scattering, was generally in agreement with crop phenological development stages. Supervised classification was performed on repeat-pass Radarsat-2 images, with an overall classification accuracy of 77.27% achieved using time series Fine beam data. The study demonstrated that Radarsat-2 Fine mode data provide useful information for crop monitoring and classification of rice plants. 
546 |a eng 
690 |a Growing phase of rice plants 
690 |a Freeman-Durden Decomposition Model 
690 |a Classification of Freeman-Durden Decomposition 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |a Peer-reviewed Article  |2 local 
786 0 |n HAYATI Journal of Biosciences; Vol. 25 No. 3 (2018): July 2018; 126 
786 0 |n 2086-4094 
786 0 |n 1978-3019 
787 0 |n https://journal.ipb.ac.id/index.php/hayati/article/view/23825/15501 
856 4 1 |u https://journal.ipb.ac.id/index.php/hayati/article/view/23825/15501  |z Get fulltext