Application of Polarimetric Decomposition and Interferometric SAR Using ALOS-2 PALSAR-2 Data to Detect Potential of Combustible Peatland Areas

被引:0
|
作者
Widodo, J. [1 ,2 ]
Takahashi, A. [1 ]
Izumi, Y. [3 ]
Sitompul, P. [1 ,4 ]
Kausarian, H. [5 ]
Suryadi, A. [5 ]
Razi, P. [6 ]
Munir, A. [7 ]
Perissin, D. [8 ]
Sumantyo, J. T. Sri [1 ]
机构
[1] Chiba Univ, Ctr Environm Remote Sensing, Chiba, Japan
[2] Agcy Assessment & Applicat Technol BPPT, Jakarta, Indonesia
[3] Tohuku Univ, Grad Sch Environm, Sendai, Miyagi, Japan
[4] Natl Inst Aeronaut & Space LAPAN, Jakarta, Indonesia
[5] Univ Islam Riau UIR, Dept Geol Engn, Pekanbaru, Indonesia
[6] Univ Negeri Padang UNP, Padang, West Sumatra, Indonesia
[7] Inst Teknol Bandung, Radio Telecommun & Microwave Lab, Sch Elect Engn & Informat, Bandung, Indonesia
[8] Razer Ltd, SARPROZ, Hong Kong, Peoples R China
关键词
D O I
10.1109/piers-spring46901.2019.9017368
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Forest fire in Indonesia occurred mostly in peatland area when the peatland areas were dried with groundwater table more than 40 cm. This peatland condition has become degradation areas with high potentials to fire. Some previous research utilized optics data remote sensing to detect the potential combustible peatland area while others concerned on backscattering information of synthetic aperture radar data compared with Forest Fire Danger Rating System (FDRS) data to identify a peat fire risk area. Peatland is prone to fire, usually associated with land that is open, close to the road, and dry conditions. In this research, polarimetric decomposition and interferometric SAR techniques have been used to determine the potential of combustible peatland area. Polarimetric Decomposition is easier to use to recognize open peatland areas. Besides that, it can also be used to identify roads and canals in peatland areas. Based on the research carried out this time, by implementing the Yamaguchi three-component model-based decomposition, we easily distinct areas that are exposed to peatlands. The dominant surface scattering marks open spaces. By using interferometric SAR technique, we also easily map areas experiencing subsidence. Regions that experience subsidence in peatland areas are usually dry areas with low groundwater conditions. Based on the results of interferometric synthetic aperture radar by using ALOS-2 PALSAR-2 data, subsidence conditions have been found in this area of peatland. SAR ALOS-2 PALSAR-2 image acquired on May 9, 2015, is used as master image and image received on March 25, 2017, is used as a slave image. Phase interferogram generated with multi-looking 5x5 pixels, Goldstein filtering 5x5 pixels, and normal baseline -43 m, and H-ambiguity 1049.4. Annual subsidence rate average was 2.8 cm/year, minimum 2.5 cm/year, and a maximum of 3.5 cm/year. The subsidence rate then converted to groundwater level information based on Woosten model and validated by using groundwater table measurement from the field. The simulation of groundwater table in average is 69.4 cm, with minimum value 63 cm and maximum value 87 cm. Based on validation and compared to the field data with correlation 0.85, and the area confirmed as high potential of combustible peatland area.
引用
收藏
页码:1106 / 1112
页数:7
相关论文
共 50 条
  • [41] Quantitative Detection of Ground Surface Changes Due to Slope Failure Using ALOS-2/PALSAR-2 Data
    Wang, Xuechen
    Honda, Hiroyuki
    Djamaluddin, Ibrahim
    Taniguchi, Hisatoshi
    Mitani, Yasuhiro
    NATURAL GEO-DISASTERS AND RESILIENCY, CREST 2023, 2024, 445 : 219 - 229
  • [42] AN ATTEMPT TO EXTRACT PADDY FIELDS USING POLARIMETRIC DECOMPOSITION OF PALSAR-2 DATA
    Yonezawa, Chinatsu
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 7172 - 7175
  • [43] Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data
    Gokon, Hideomi
    Endo, Fuyuki
    Koshimura, Shunichi
    REMOTE SENSING, 2023, 15 (02)
  • [44] An Attempt to Extract Paddy Fields Using Polarimetric Decomposition of PALSAR-2 Data
    Yonezawa, Chinatsu
    International Geoscience and Remote Sensing Symposium (IGARSS), 2019, : 7172 - 7175
  • [45] Object-based building damage assessment methodology using only post event ALOS-2/PALSAR-2 dual polarimetric SAR intensity images
    Bai Y.
    Adriano B.
    Mas E.
    Gokon H.
    Koshimura S.
    Bai, Yanbing (bai.yanbing.q3@dc.tohoku.ac.jp), 1600, Fuji Technology Press (12): : 259 - 271
  • [46] ESTIMATION OF IONOSPHERIC TEC FROM ALOS-2 PALSAR-2 SPLIT-BAND DATA
    Hirano, H.
    Isoguchi, O.
    Motohka, T.
    Ohki, M.
    Tadono, T.
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1861 - 1864
  • [47] Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data
    Trisasongko, Bambang H.
    EUROPEAN JOURNAL OF REMOTE SENSING, 2017, 50 (01) : 64 - 76
  • [48] Investigation on polarization orientation angle shift for accurate urban area observation using ALOS-2/PALSAR-2 data
    Sato, Ryoichi
    Ikarashi, Yuhei
    Masaka, Motoki
    Yamaguchi, Yoshio
    Yamada, Hiroyoshi
    11TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2016), 2016, : 604 - 606
  • [49] Mapping forest in the southern Great Plains with ALOS-2 PALSAR-2 and Landsat 7/8 data
    Yang, Xuebin
    Xiao, Xiangming
    Qin, Yuanwei
    Wang, Jie
    Neal, Kevin
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 104
  • [50] LANDSLIDE OBSERVATION FROM ALOS-2/PALSAR-2 DATA (IMAGE CORRELATION TECHNIQUES AND SAR INTERFEROMETRY). APPLICATION TO SALAZIE CIRCLE LANDSLIDES (LA REUNION ISLAND)
    Raucoules, Daniel
    Tomaro, Fabrizio
    Foumelis, Michael
    Negulescu, Caterina
    de Michele, Marcello
    Aunay, Bertrand
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 506 - 509