京都大学教育研究振興財団助成事業
成 果 報 告 書
2014年8月11日
公益財団法人京都大学教育研究振興財団会 長 辻井 昭 雄 様
所属部局・研究科:

Graduate School of Engineering

職 名・学 年: 学生;

D3氏

Bhogendra Mishra

名助 成 の 種 類

平成２６年度 ・ 若手研究者在外研究支援 ・ 国際研究集会発表助成

研 究 集 会 名

IGARSS 2014

発 表 題 目SAR and optical data fusion for land use and cover change detection

開 催 場 所Quebec, Canada

渡 航 期 間2014年07月09日

成 果 の 概 要～

2014年07月19日

タイトルは「成果の概要／報告者名」として、A４版２０００字程度・和文で作成し、添付して下さい。 「成果の概要」以外に添付する資料 □ 無□ 有()
交付を受けた助成金額

250,000円

使 用 し た 助 成 金 額

250,000円

返納すべき助成金額0円
Airticket - 148,000

会 計 報 告Accomodaiton and living expenses - 102,000
助 成 金 の 使 途 内 訳（今回の助成に対する感想、今後の助成に望むこと等お書き下さい。助成事業の参考にさせていただきます。）

当財団の助成についてReport – IGARSS 2014 visit
Basic Information
Student Name: Bhogendra Mishra
Supervisor: Dr. Junichi Susaki
Affeliation: Civil and Earth Resources Engineering, Graduate School of Engineering
Laboratory: Geoinformatics
Student id: 1060-23-6788
Presented paper: SAR and optical data fusion for land use and cover change detection
Information on about event
Program: IEEE Geoscience and Remote Sensing Society Symposium 2014 and Geoscience andRemote Sensing Summer School 2014
Name of the host: IEEE Geoscience and Remote Sensing Society (GRSS)
Address of the Host: The Québec City Convention Centre
1000, boul. René-Lévesque Est Québec, (Québec) G1R 5T8
Phone: 418 644-4000
Toll-free: 888 679-4000
Contact Person of the host: Monique Bernier
Email: info@igarss2014.org.
Date and Time Period
Summer School: July 10-July 11, 2014
Symposium: July 13– July 18, 2014
GRSS summer school 2014
The summer school mainly focuses: to promote the state-of-the-art Remote Sensing Technology among young professionals
and students,
 to strengthen young people’s professional networking.
This intensive and advanced, 2-day learning event, presents best insights into most recent
techniques from top international professors and researchers. Basically, different remote sensing
applications using both passive and active sensors were presented during the summer school. There
were eight thematic presentation included.
Use of optical, thermal infrared, radar and hyper spectral remote sensing for geologicalmapping.
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An overview of of fully polarimetric PALSAR imaging in Geoscience and Remote Sensing.

LIDAR remote sensing for forestry and hydrology.

Earth Observation and Geophysical Application of Remote Sensing Radars.

Towards operational use of optical remote sensing technologies - two case studies related toenergy and food supply.

Advanced techniques for retrieval of Essential Climate Variables (ECV) from remotelysensed data.



SAR and optical imaging for snow monitoring and hydropower resources management.

Multi-temporal remote sensing of leaf area index for modeling ecosystem productivity.

IGARSS 2014
IGARSS 2014 is one of the leading symposium to promote remote sensing technology in theWorld. The symposium was held on the theme entitled “Energy and or Changing Planet”. Though
the main theme was “Energy and or Changing Planet”, it included all aspects of the applications ofRemote Sensing, GIS, GPS and other related geospatial technologies and increased development of
this discipline all over the world. Nearly 2000 participants were there and 1942 papers (oral andposter) were presented. My oral presentation included my research results related to the urbanchange mapping using optical and SAR images.
In this work, I presented a very simple but robust, synthetic aperture radar (SAR) and optical, data
fusion framework for land use/cover change detection. The fusion was done with two indicators,
namely the normalized difference ratio (NDR) and normalized difference vegetation index difference(NDVI difference) developed from multi-temporal SAR and optical images respectively. A statisticalanalysis shows that the NDR and the NDVI difference have a consistent pattern in major land
use/cover change classes. Thus, based on this pattern, a fusion approach was developed without
altering the behavior of NDR with different types of changes. The effectiveness of the proposed
fusion approach was evaluated through the change mapping with a manual trial and error
thresholding approach. The results were compared with the results obtained from the optical andSAR images independently. The improvement of the results by making use of the uniqueinformation from both, optical and SAR imagery, can be easily identified with a simple visualinspection. The accuracy assessment showed a significant improvement in overall detectability withthe substantial decrease in false and missing alarms.
In the symposium, I had a very good discussion with the exports of the field in the topic and its
future prospects. Some of them were very interested in the presented work and gave insightfulcomments to improve the work. Most of them recommended to include other indicators developed
from the optical images and some of them recommend to use an ancillary dataset. Accordingly, thefuture work includes the incorporation of other indicators and ancillary dataset and extends themethod for other applications like disaster monitoring.
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