Rice-planted area mapping using small sets of multioral SAR data

Kanae Miyaoka, Masayasu Maki, Junichi Susaki, Koki Homma, Keigo Noda, Kazuo Oki

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

A rice-planted area map is a basic information resource for rice production management. Synthetic aperture radar (SAR) is an appropriate technique for rice mapping and so far is mostly based on extracting time series changes of backscattering (σ0) in a rice-planted area. However, sometimes there is not enough data to extract the σ0 curve for the area. To overcome this problem of a lack of data, we propose a method to detect rice-planted area by using small sets of multioral SAR data. This method also addresses the fluctuation of σ0 values between SAR measurements. We have applied the method using multioral ALOS/PALSAR data acquired over five years during the dry season. The rice-planted area was well detected and the viability of this method was demonstrated.

Original languageEnglish
Article number6574230
Pages (from-to)1507-1511
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume10
Issue number6
DOIs
Publication statusPublished - 2013
Externally publishedYes

Keywords

  • Normalization of backscatter
  • rice mapping
  • small sets of temporal data
  • synthetic aperture radar (SAR)

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Rice-planted area mapping using small sets of multioral SAR data'. Together they form a unique fingerprint.

Cite this