Dynamic Land Use Mapping using Remote Sensing and Web-GIS

• Project/Area Number: 15K01163
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Geography
• Research Institution: Tottori University
• Principal Investigator: NAGASAWA RYOTA 鳥取大学, 農学部, 教授 (40314570)
• Research Collaborator: Ketut Wikantika ; Dandy Aditya Novresiand ; Lissa Fajri Yayusman
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000); Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
• Keywords: 動的土地利用図 / 衛星リモートセンシング / Web-GIS / インドネシア / SAR / 動的土地利用 / 農業的土地利用区分 / 作付けパターン / ALOS PALSAR / Sentinel-1 / Landsat 8 / ジャワ島 / 光学系センサー / 電波系センサー / タイの天水田 / インドネシアの油ヤシ園 / 農業的土地利用 / 営農状況 / タイ

Outline of Final Research Achievements

In this study, we attempted dynamic land use classification in agricultural area mainly using SAR image data. The target area is in the range of about 50 km 2 located in central Java, where complicated and mixed agricultural land use are distributed as widely seen over the Java Island. The backscatter intensity of the full polarization image was processed and combined to extract the most suitable parameter. Two kinds of polarimetric decomposition were also applied and analyzed for a better understanding of the polarimetric scattering mechanisms of agricultural croplands.
The results show that the integration of both backscatter intensity and polarimetric decomposition methods was able to compensate for the weakness of each component in discriminating the complex agricultural croplands. The field training samles collected through Web-GS were well integrated with the image processing process and contributed to the improvement of classification.

Research Products

• [Int'l Joint Research] Bandung Institute of Technology(Indonesia)
• [Int'l Joint Research] バンドン工科大学(インドネシア)
• [Int'l Joint Research] コンケン大学(タイ)
• [Journal Article] Identification and Classification of Complex Agricultural Croplands Using Multi-Temporal ALOS-2/PALSAR-2 Data: A Case Study in Central Java, Indonesia (2018)
  • Author(s): Mirelva, P. R., and Nagasawa, R.
  • Journal Title: Journal of Agricultural Science Volume: 10 Issue: 2 Pages: 58-70
  • DOI: 10.5539/jas.v10n2p58
  • Peer Reviewed / Open Access
• [Presentation] Single and multi-temporal filtering comparison on synthetic aperture radar data for agricultural area classification (2017)
  • Author(s): Mirelva, P. R., and Nagasawa
  • Organizer: International Conference on Imaging, Signal Processing and Communication (ICISPC)
  • Int'l Joint Research
• [Presentation] Classifying the smallholder's oil palm tree condition on peat land using ALOS PALSAR-2 data (2016)
  • Author(s): Lissa Fajri YAYUSMAN, Ryota NAGASAWA
  • Organizer: システム農学
  • Place of Presentation: 東京大学農学部 東京都文京区
• [Presentation] Application of ALOS PALSAR data for agricultural croplands classification in Central Java, Indonesia (2016)
  • Author(s): Prima Rizky MIRELVA, Ryota NAGASAWA
  • Organizer: システム農学
  • Place of Presentation: 東京大学農学部 東京都文京区
• [Presentation] Paddy Field Mapping using Temporal MODIS Data (2015)
  • Author(s): Ryota NAGASAWA,
  • Organizer: Asian Conference on Remote Sensing
  • Place of Presentation: フィリピン，マニラ
  • Year and Date: 2015-10-19
  • Int'l Joint Research