A Comparative Analysis of Object-Based and Pixel-Based Classification of RADARSAT-2 C-Band and Optical Satellite Data for Mapping Shoreline Types in the Canadian Arctic

被引:12
|
作者
Demers, Anne-Marie [1 ]
Banks, Sarah N. [1 ]
Pasher, Jon [1 ]
Duffe, Jason [1 ]
Laforest, Sonia [2 ,3 ]
机构
[1] Environm Canada, Landscape Sci & Technol Div, Ottawa, ON K1A 0H3, Canada
[2] Environm Canada, Emergencies Operat Analyt Labs, Montreal, PQ H2Y2E7, Canada
[3] Environm Canada, Res Support Div, Montreal, PQ H2Y2E7, Canada
关键词
LAND-COVER; MULTISPECTRAL IMAGERY; SURFICIAL MATERIALS; POLARIZATION; METHODOLOGY; MANGROVES; COASTLINE; ACCURACY; NUNAVUT; ALOS;
D O I
10.1080/07038992.2015.1020361
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Abstract. With increasing ship traffic and natural resource extraction in the Canadian Arctic, the chance of an oil spill occurring is steadily increasing. Oil deposited in the marine environment will impact the ocean, and as it is washed onto shore many species and their habitats. In 2009, Environment Canada initiated a project to produce baseline coastal information required for operational prioritization in the event of a marine oil spill in the Canadian Arctic. Earth observation data can potentially be used to improve on traditional mapping methods. RADARSAT-2 C-band data and geotagged videography were collected for selected sites in the Canadian Arctic. Object-based classification was compared to pixel-based classification using two of these pilot sites, Richards Island (Northwest Territories) and Ivvavik (Yukon Territory). The object-based classification achieved an overall accuracy of 74% at Richards Island and 63% at Ivvavik, whereas the pixel-based reached 73% at both sites. To test transferability, the classifiers developed at Richards Island were applied to Ivvavik. In this case, the object-based classification achieved an overall accuracy of 78% and the pixel-based reached 71%. Results showed that characterizing shorelines in the Arctic using Earth observation data for oil spill cleanup response activities is possible. Resume. Avec l'accroissement du trafic maritime et de l'exploitation des ressources naturelles dans l'Arctique canadien les risques d'un deversement d'hydrocarbure sont en augmentation. Les depots d'hydrocarbures auront un impact sur l'environnement marin. En 2009, Environnement Canada a initie un projet qui visait a ameliorer la connaissance des types de rivage afin de prioriser les operations de nettoyage dans l'eventualite d'un deversement d'hydrocarbure. Des videos geo-references et des images RADARSAT-2 ont ete acquis pour plusieurs sites de l'Arctique canadien. Une classification orientee-objet a ete comparee a une classification pixel-a-pixel pour deux de ces sites, soit l'ile Richards (Territoires du Nord-Ouest) et Ivvavik (Yukon). La classification orientee-objet a atteint une precision globale de 74% a l'ile Richards et de 63% a Ivvavik.La classification pixel-a-pixel a atteint une precision globale de 73% a chacun des sites. Les methodes de classification developpees a l'ile Richards ont ete appliquees a Ivvavik afin d'evaluer la transferabilite. La classification orientee-objet a atteint une precision globale de 78% et la classification pixel-a-pixel de 71%. Dans l'ensemble, les resultats ont demontres que les types de rivage de l'Arctique canadien peuvent etre caracterises a partir de donnees d'observation de la terre afin de supporter les operations de nettoyage.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 16 条
  • [1] CANADIAN ARCTIC SHORELINE MAPPING USING RADARSAT-2 AND OPTICAL DATA THROUGH OBJECT-BASED CLASSIFICATION
    Demers, Anne-Marie
    Banks, Sarah N.
    Pasher, Jon
    Duffe, Jason
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 5134 - 5136
  • [2] Pixel-based classification algorithm for mapping urban footprints from radar data: a case study for RADARSAT-2
    Taubenboeck, H.
    Felbier, A.
    Esch, T.
    Roth, A.
    Dech, S.
    CANADIAN JOURNAL OF REMOTE SENSING, 2012, 38 (03) : 211 - 222
  • [3] Mapping Plant Functional Types in Floodplain Wetlands: An Analysis of C-Band Polarimetric SAR Data from RADARSAT-2
    Morandeira, Natalia S.
    Grings, Francisco
    Facchinetti, Claudia
    Kandus, Patricia
    REMOTE SENSING, 2016, 8 (03)
  • [4] OBJECT-BASED VS PIXEL-BASED MAPPING OF FIRE SCARS USING MULTI-SCALE SATELLITE DATA
    Mallinis, G.
    Pleniou, M.
    Koutsias, N.
    GEOBIA 2010: GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS, 2010, 38-4-C7
  • [5] Scattering Mechanism Based Snow Cover Mapping Using RADARSAT-2 C-Band Polarimetric SAR Data
    Muhuri, Arnab
    Manickam, Surendar
    Bhattacharya, Avik
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (07) : 3213 - 3224
  • [6] Potential of Pleiades and Radarsat-2 Data for Mapping Plastic-Mulched Farmland Using Object-Based Image Analysis
    Hasi Tuya
    Chen Zhongxin
    Li Zhenwang
    Li Fei
    CANADIAN JOURNAL OF REMOTE SENSING, 2021, 47 (04) : 607 - 620
  • [7] A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region
    Li, Guiying
    Lu, Dengsheng
    Moran, Emilio
    Dutra, Luciano
    Batistella, Mateus
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 70 : 26 - 38
  • [8] A comparative analysis of different pixel and object-based classification algorithms using multi-source high spatial resolution satellite data for LULC mapping
    Balha, Akanksha
    Mallick, Javed
    Pandey, Suneel
    Gupta, Sandeep
    Singh, Chander Kumar
    EARTH SCIENCE INFORMATICS, 2021, 14 (04) : 2231 - 2247
  • [9] A comparative analysis of different pixel and object-based classification algorithms using multi-source high spatial resolution satellite data for LULC mapping
    Akanksha Balha
    Javed Mallick
    Suneel Pandey
    Sandeep Gupta
    Chander Kumar Singh
    Earth Science Informatics, 2021, 14 : 2231 - 2247
  • [10] Pixel and object-based classification approaches for mapping forest fuel types in Tenerife Island from ASTER data
    Alonso-Benito, Alfonso
    Arroyo, Lara A.
    Arbelo, Manuel
    Hernandez-Leal, Pedro
    Gonzalez-Calvo, Alejandro
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2013, 22 (03) : 306 - 317