메뉴 건너뛰기




Volumn 36, Issue 23, 2015, Pages 5811-5841

Object-based image analysis of optical and radar variables for wetland evaluation

Author keywords

[No Author keywords available]

Indexed keywords

BACKSCATTERING; GEOMETRICAL OPTICS; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; POLARIMETERS; TRACKING RADAR; WETLANDS;

EID: 84947969718     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1109727     Document Type: Article
Times cited : (33)

References (88)
  • 1
    • 77952881448 scopus 로고    scopus 로고
    • Multispectral and Hyperspectral Remote Sensing for Identification and Mapping of Wetland Vegetation: A Review
    • E.Adam,, O.Mutanga, and D.Rugege. 2010. “Multispectral and Hyperspectral Remote Sensing for Identification and Mapping of Wetland Vegetation: A Review.” Wetlands Ecology and Management 18: 281–296. doi:10.1007/s11273-009-9169-z.
    • (2010) Wetlands Ecology and Management , vol.18 , pp. 281-296
    • Adam, E.1    Mutanga, O.2    Rugege, D.3
  • 2
    • 84872347823 scopus 로고    scopus 로고
    • Geoeye-1 and Worldview-2 Pan-Sharpened Imagery for Object-Based Classification in Urban Environments
    • M.A.Aguilar,, M.M.Saldana, and F.J.Aguilar. 2013. “Geoeye-1 and Worldview-2 Pan-Sharpened Imagery for Object-Based Classification in Urban Environments.” International Journal of Remote Sensing 34: 2583–2606. doi:10.1080/01431161.2012.747018.
    • (2013) International Journal of Remote Sensing , vol.34 , pp. 2583-2606
    • Aguilar, M.A.1    Saldana, M.M.2    Aguilar, F.J.3
  • 3
    • 0031274825 scopus 로고    scopus 로고
    • Data Mining with Decision Trees and Decision Rules
    • C.Apte,, and S.Weiss. 1997. “Data Mining with Decision Trees and Decision Rules.” Future Generation Computer Systems 13: 197–210. doi:10.1016/S0167-739X(97)00021-6.
    • (1997) Future Generation Computer Systems , vol.13 , pp. 197-210
    • Apte, C.1    Weiss, S.2
  • 5
    • 84987943212 scopus 로고    scopus 로고
    • Characterizing Scattering Behaviour and Assessing Potential for Classification of Arctic Shore and Near-Shore Land Covers with Fine Quad-Pol RADARSAT-2 Data
    • S.N.Banks,, D.J.King, A.Merzouki, and J.Duffe. 2014. “Characterizing Scattering Behaviour and Assessing Potential for Classification of Arctic Shore and Near-Shore Land Covers with Fine Quad-Pol RADARSAT-2 Data.” Canadian Journal of Remote Sensing 40: 291–314. doi:10.1080/07038992.2014.979487.
    • (2014) Canadian Journal of Remote Sensing , vol.40 , pp. 291-314
    • Banks, S.N.1    King, D.J.2    Merzouki, A.3    Duffe, J.4
  • 9
    • 84860602427 scopus 로고    scopus 로고
    • Segmentation of Landsat Thematic Mapper Imagery Improves Buffelgrass (Pennisetum Ciliare) Pasture Mapping in the Sonoran Desert of Mexico
    • J.C.Brenner,, Z.Christman, and J.Rogan. 2012. “Segmentation of Landsat Thematic Mapper Imagery Improves Buffelgrass (Pennisetum Ciliare) Pasture Mapping in the Sonoran Desert of Mexico.” Applied Geography 34: 569–575. doi:10.1016/j.apgeog.2012.02.008.
    • (2012) Applied Geography , vol.34 , pp. 569-575
    • Brenner, J.C.1    Christman, Z.2    Rogan, J.3
  • 10
    • 0142003038 scopus 로고    scopus 로고
    • A Multi-Scale Segmentation/Object Relationship Modelling Methodology for Landscape Analysis
    • C.Burnett,, and T.Blaschke. 2003. “A Multi-Scale Segmentation/Object Relationship Modelling Methodology for Landscape Analysis.” Ecological Modelling 168: 233–249. doi:10.1016/S0304-3800(03)00139-X.
    • (2003) Ecological Modelling , vol.168 , pp. 233-249
    • Burnett, C.1    Blaschke, T.2
  • 11
    • 67349155592 scopus 로고    scopus 로고
    • Land Cover Mapping of Wetland Areas in an Agricultural Landscape Using SAR and Landsat Imagery
    • C.Castaneda,, and D.Ducrot. 2009. “Land Cover Mapping of Wetland Areas in an Agricultural Landscape Using SAR and Landsat Imagery.” Journal of Environmental Management 90: 2270–2277. doi:10.1016/j.jenvman.2007.06.030.
    • (2009) Journal of Environmental Management , vol.90 , pp. 2270-2277
    • Castaneda, C.1    Ducrot, D.2
  • 12
    • 0030104487 scopus 로고    scopus 로고
    • A Review of Target Decomposition Theorems in Radar Polarimetry
    • S.R.Cloude,, and E.Pottier. 1996. “A Review of Target Decomposition Theorems in Radar Polarimetry.” IEEE Transactions on Geoscience and Remote Sensing 34: 498–518. doi:10.1109/36.485127.
    • (1996) IEEE Transactions on Geoscience and Remote Sensing , vol.34 , pp. 498-518
    • Cloude, S.R.1    Pottier, E.2
  • 13
    • 0030780622 scopus 로고    scopus 로고
    • An Entropy Based Classification Scheme for Land Applications of Polarimetric SAR
    • S.R.Cloude,, and E.Pottier. 1997. “An Entropy Based Classification Scheme for Land Applications of Polarimetric SAR.” IEEE Transactions on Geoscience and Remote Sensing 35: 68–78. doi:10.1109/36.551935.
    • (1997) IEEE Transactions on Geoscience and Remote Sensing , vol.35 , pp. 68-78
    • Cloude, S.R.1    Pottier, E.2
  • 14
    • 0027589553 scopus 로고
    • A Practical Look at the Sources of Confusion in Error Matrix Generation
    • R.G.Congalton,, and K.Green. 1993. “A Practical Look at the Sources of Confusion in Error Matrix Generation.” Photogrammetric Engineering and Remote Sensing 59: 641–644.
    • (1993) Photogrammetric Engineering and Remote Sensing , vol.59 , pp. 641-644
    • Congalton, R.G.1    Green, K.2
  • 16
    • 84947902120 scopus 로고    scopus 로고
    • Paper presented at Anais XIV Simposio Brasileiro de Sensoriamento Remoto, Natal, Brasil: INPE, April
    • M.R.De Leeuw, 2009. “Performance Evaluation of Several Adaptive Speckle Filters for SAR Imaging.” Paper presented at Anais XIV Simposio Brasileiro de Sensoriamento Remoto, 7299–7305, Natal, Brasil, INPE, April25–30.
    • (2009) Performance Evaluation of Several Adaptive Speckle Filters for SAR Imaging , pp. 7299-7305
    • De Leeuw, M.R.1
  • 17
    • 49749122353 scopus 로고    scopus 로고
    • Riparian Marshland Composition and Biomass Mapping Using Ikonos Imagery
    • K.A.Dillabaugh,, and D.J.King. 2008. “Riparian Marshland Composition and Biomass Mapping Using Ikonos Imagery.” Canadian Journal of Remote Sensing 34: 143–158. doi:10.5589/m08-011.
    • (2008) Canadian Journal of Remote Sensing , vol.34 , pp. 143-158
    • Dillabaugh, K.A.1    King, D.J.2
  • 19
    • 79953222584 scopus 로고    scopus 로고
    • Comparison of Pixel- and Object-Based Classification in Land Cover Change Mapping
    • L.Dingle Robertson,, and D.J.King. 2011. “Comparison of Pixel- and Object-Based Classification in Land Cover Change Mapping.” International Journal of Remote Sensing 32: 1505–1529. doi:10.1080/01431160903571791.
    • (2011) International Journal of Remote Sensing , vol.32 , pp. 1505-1529
    • Dingle Robertson, L.1    King, D.J.2
  • 20
    • 77952755132 scopus 로고    scopus 로고
    • Object-Based Classification of Very High Resolution Panchromatic Images for Evaluating Recent Change in the Structure of Patterned Peatlands
    • M.Dissanska,, M.Bernier, and S.Payette. 2009. “Object-Based Classification of Very High Resolution Panchromatic Images for Evaluating Recent Change in the Structure of Patterned Peatlands.” Canadian Journal of Remote Sensing 35: 189–215. doi:10.5589/m09-002.
    • (2009) Canadian Journal of Remote Sensing , vol.35 , pp. 189-215
    • Dissanska, M.1    Bernier, M.2    Payette, S.3
  • 22
    • 77951189897 scopus 로고    scopus 로고
    • ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data
    • L.Dragut,, D.Tiede, and S.R.Levick. 2010. “ESP: A Tool to Estimate Scale Parameter for Multiresolution Image Segmentation of Remotely Sensed Data.” International Journal of Geographical Information Science 24: 859–871. doi:10.1080/13658810903174803.
    • (2010) International Journal of Geographical Information Science , vol.24 , pp. 859-871
    • Dragut, L.1    Tiede, D.2    Levick, S.R.3
  • 23
    • 84864994396 scopus 로고    scopus 로고
    • Monitoring Seasonal Hydrological Dynamics of Minerotrophic Peatlands Using Multi-Date Geoeye-1 Very High Resolution Imagery and Object-Based Classification
    • Y.Dribault,, K.Chokmani, and M.Bernier. 2012. “Monitoring Seasonal Hydrological Dynamics of Minerotrophic Peatlands Using Multi-Date Geoeye-1 Very High Resolution Imagery and Object-Based Classification.” Remote Sensing 4: 1887–1912. doi:10.3390/rs4071887.
    • (2012) Remote Sensing , vol.4 , pp. 1887-1912
    • Dribault, Y.1    Chokmani, K.2    Bernier, M.3
  • 24
    • 84867594546 scopus 로고    scopus 로고
    • Landscape Analysis of Wetland Plant Functional Types: The Effects of Image Segmentation Scale, Vegetation Classes, and Classification Methods
    • I.Dronova,, P.Gong, N.E.Clinton, L.Wang, W.Fu, S.Qi, and Y.Liu. 2012. “Landscape Analysis of Wetland Plant Functional Types: The Effects of Image Segmentation Scale, Vegetation Classes, and Classification Methods.” Remote Sensing of Environment 127: 357–369. doi:10.1016/j.rse.2012.09.018.
    • (2012) Remote Sensing of Environment , vol.127 , pp. 357-369
    • Dronova, I.1    Gong, P.2    Clinton, N.E.3    Wang, L.4    Fu, W.5    Qi, S.6    Liu, Y.7
  • 25
    • 81355138692 scopus 로고    scopus 로고
    • Object-Based Analysis and Change Detection of Major Wetland Cover Types and Their Classification Uncertainty during the Low Water Period at Poyang Lake, China
    • I.Dronova,, P.Gong, and L.Wang. 2011. “Object-Based Analysis and Change Detection of Major Wetland Cover Types and Their Classification Uncertainty during the Low Water Period at Poyang Lake, China.” Remote Sensing of Environment 115: 3220–3236. doi:10.1016/j.rse.2011.07.006.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 3220-3236
    • Dronova, I.1    Gong, P.2    Wang, L.3
  • 26
    • 34548371842 scopus 로고    scopus 로고
    • Object-Oriented and Textural Image Classification of the Siberia GBFM Radar Mosaic Combined with MERIS Imagery for Continental Scale Land Cover Mapping
    • L.Durieux,, J.Kropáček, G.D.De Grandi, and F.Achard. 2007. “Object-Oriented and Textural Image Classification of the Siberia GBFM Radar Mosaic Combined with MERIS Imagery for Continental Scale Land Cover Mapping.” International Journal of Remote Sensing 28: 4175–4182. doi:10.1080/01431160701236837.
    • (2007) International Journal of Remote Sensing , vol.28 , pp. 4175-4182
    • Durieux, L.1    Kropáček, J.2    De Grandi, G.D.3    Achard, F.4
  • 27
    • 84455200427 scopus 로고    scopus 로고
    • A Comparison of Pixel-Based and Object-Based Image Analysis with Selected Machine Learning Algorithms for the Classification of Agricultural Landscapes Using SPOT-5 HRG Imagery
    • D.C.Duro,, S.E.Franklin, and M.G.Dube. 2012. “A Comparison of Pixel-Based and Object-Based Image Analysis with Selected Machine Learning Algorithms for the Classification of Agricultural Landscapes Using SPOT-5 HRG Imagery.” Remote Sensing of Environment 118: 259–272. doi:10.1016/j.rse.2011.11.020.
    • (2012) Remote Sensing of Environment , vol.118 , pp. 259-272
    • Duro, D.C.1    Franklin, S.E.2    Dube, M.G.3
  • 29
    • 84868455727 scopus 로고    scopus 로고
    • Landcover Classification of the Lower Nhecolândia Subregion of the Brazilian Pantanal Wetlands Using ALOS/PALSAR, RADARSAT-2 and ENVISAT/ASAR Imagery
    • T.L.Evans,, and M.Costa. 2013. “Landcover Classification of the Lower Nhecolândia Subregion of the Brazilian Pantanal Wetlands Using ALOS/PALSAR, RADARSAT-2 and ENVISAT/ASAR Imagery.” Remote Sensing of Environment 128: 118–137. doi:10.1016/j.rse.2012.09.022.
    • (2013) Remote Sensing of Environment , vol.128 , pp. 118-137
    • Evans, T.L.1    Costa, M.2
  • 30
    • 84909582564 scopus 로고    scopus 로고
    • Large-Scale Habitat Mapping of the Brazilian Pantanal Wetland: A Synthetic Aperture Radar Approach
    • T.L.Evans,, M.Costa, W.M.Tomas, and A.R.Camilo. 2014. “Large-Scale Habitat Mapping of the Brazilian Pantanal Wetland: A Synthetic Aperture Radar Approach.” Remote Sensing of Environment 155: 89–108. doi:10.1016/j.rse.2013.08.051.
    • (2014) Remote Sensing of Environment , vol.155 , pp. 89-108
    • Evans, T.L.1    Costa, M.2    Tomas, W.M.3    Camilo, A.R.4
  • 31
    • 0036213079 scopus 로고    scopus 로고
    • Status of Land Cover Classification Accuracy Assessment
    • G.M.Foody, 2002. “Status of Land Cover Classification Accuracy Assessment.” Remote Sensing of Environment 80: 185–201. doi:10.1016/S0034-4257(01)00295-4.
    • (2002) Remote Sensing of Environment , vol.80 , pp. 185-201
    • Foody, G.M.1
  • 32
    • 0344972104 scopus 로고    scopus 로고
    • Decision Tree Classification of Land Cover from Remotely Sensed Data
    • M.A.Friedl,, and C.E.Brodley. 1997. “Decision Tree Classification of Land Cover from Remotely Sensed Data.” Remote Sensing of Environment 61: 399–409. doi:10.1016/S0034-4257(97)00049-7.
    • (1997) Remote Sensing of Environment , vol.61 , pp. 399-409
    • Friedl, M.A.1    Brodley, C.E.2
  • 33
    • 37549047849 scopus 로고    scopus 로고
    • An Object-Based Method to Map Wetland Using RADARSAT-1 and Landsat ETM Images: Test Case on Two Sites in Quebec, Canada
    • M.Grenier,, A.-M.Demers, S.Labrecque, M.Benoit, R.A.Fournier, and B.Drolet. 2007. “An Object-Based Method to Map Wetland Using RADARSAT-1 and Landsat ETM Images: Test Case on Two Sites in Quebec, Canada.” Canadian Journal of Remote Sensing 33: S28–S45. doi:10.5589/m07-048.
    • (2007) Canadian Journal of Remote Sensing , vol.33 , pp. 28-45
    • Grenier, M.1    Demers, A.-M.2    Labrecque, S.3    Benoit, M.4    Fournier, R.A.5    Drolet, B.6
  • 34
    • 52649127929 scopus 로고    scopus 로고
    • Radar Detection of Wetland Ecosystems: A Review
    • F.M.Henderson,, and A.J.Lewis. 2008. “Radar Detection of Wetland Ecosystems: A Review.” International Journal of Remote Sensing 29: 5809–5835. doi:10.1080/01431160801958405.
    • (2008) International Journal of Remote Sensing , vol.29 , pp. 5809-5835
    • Henderson, F.M.1    Lewis, A.J.2
  • 36
    • 84870034644 scopus 로고    scopus 로고
    • Improving MODIS Land Cover Classification by Combining MODIS Spectral and Angular Signatures in a Canadian Boreal Forest
    • Z.Jiao,, C.Woodcock, C.B.Schaaf, B.Tan, J.Liu, F.Gao, A.Strahler, X.Li, and J.Wang. 2011. “Improving MODIS Land Cover Classification by Combining MODIS Spectral and Angular Signatures in a Canadian Boreal Forest.” Canadian Journal of Remote Sensing 37: 184–203. doi:10.5589/m11-030.
    • (2011) Canadian Journal of Remote Sensing , vol.37 , pp. 184-203
    • Jiao, Z.1    Woodcock, C.2    Schaaf, C.B.3    Tan, B.4    Liu, J.5    Gao, F.6    Strahler, A.7    Li, X.8    Wang, J.9
  • 37
    • 0142159830 scopus 로고    scopus 로고
    • Influence of Flood Conditions and Vegetation Status on the Radar Backscatter of Wetland Ecosystems
    • P.Kandus,, H.Karszenbaum, T.Pultz, G.Parmuchi, and J.Bava. 2001. “Influence of Flood Conditions and Vegetation Status on the Radar Backscatter of Wetland Ecosystems.” Canadian Journal of Remote Sensing 27: 651–662. doi:10.1080/07038992.2001.10854907.
    • (2001) Canadian Journal of Remote Sensing , vol.27 , pp. 651-662
    • Kandus, P.1    Karszenbaum, H.2    Pultz, T.3    Parmuchi, G.4    Bava, J.5
  • 39
    • 0030613497 scopus 로고    scopus 로고
    • The Use of Imaging Radars for Ecological Applications – a Review
    • E.S.Kasischke,, J.M.Melack, and M.C.Dobson. 1997. “The Use of Imaging Radars for Ecological Applications – a Review.” Remote Sensing of Environment 59: 141–156. doi:10.1016/S0034-4257(96)00148-4.
    • (1997) Remote Sensing of Environment , vol.59 , pp. 141-156
    • Kasischke, E.S.1    Melack, J.M.2    Dobson, M.C.3
  • 41
    • 84925463042 scopus 로고    scopus 로고
    • A Semi-Automated, Multi-Source Data Fusion Update of A Wetland Inventory for East-Central Minnesota, USA
    • Online Publication, January
    • S.M.Kloiber,, R.D.Macleod, A.J.Smith, J.F.Knight, and B.J.Huberty. 2015. “A Semi-Automated, Multi-Source Data Fusion Update of A Wetland Inventory for East-Central Minnesota, USA.” Wetlands, January 2015. Online Publication.
    • (2015) Wetlands
    • Kloiber, S.M.1    Macleod, R.D.2    Smith, A.J.3    Knight, J.F.4    Huberty, B.J.5
  • 43
    • 38349090485 scopus 로고    scopus 로고
    • Using C-Band Synthetic Aperture Radar Data to Monitor Forested Wetland Hydrology in Maryland’s Coastal Plain, USA
    • M.W.Lang,, and E.S.Kasischke. 2008. “Using C-Band Synthetic Aperture Radar Data to Monitor Forested Wetland Hydrology in Maryland’s Coastal Plain, USA.” IEEE Transactions on Geoscience and Remote Sensing 46: 535–546. doi:10.1109/TGRS.2007.909950.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , pp. 535-546
    • Lang, M.W.1    Kasischke, E.S.2
  • 44
    • 50849104762 scopus 로고    scopus 로고
    • Influence of Incidence Angle on Detecting Flooded Forests Using C-HH Synthetic Aperture Radar Data
    • M.W.Lang,, P.A.Townsend, and E.S.Kasischke. 2008. “Influence of Incidence Angle on Detecting Flooded Forests Using C-HH Synthetic Aperture Radar Data.” Remote Sensing of Environment 112: 3898–3907. doi:10.1016/j.rse.2008.06.013.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 3898-3907
    • Lang, M.W.1    Townsend, P.A.2    Kasischke, E.S.3
  • 45
    • 0002920622 scopus 로고    scopus 로고
    • Forestry Applications Using Imaging Radar
    • Henderson R.M., Lewis A.J., (eds), 3rd, New York, NY: John Wiley and Sons
    • D.G.Leckie,, and K.J.Ranson. 1998, “Forestry Applications Using Imaging Radar.” In Principles and Applications of Imaging Radar: Manual of Remote Sensing. Vol. 2. 3rd ed., edited by R.M.Henderson and A.J.Lewis. New York, NY: John Wiley and Sons.
    • (1998) Principles and Applications of Imaging Radar: Manual of Remote Sensing , vol.2
    • Leckie, D.G.1    Ranson, K.J.2
  • 46
    • 84859932886 scopus 로고    scopus 로고
    • A Comparative Analysis of ALOS PALSAR L-Band and RADARSAT-2 C-Band Data for Land-Cover Classification in A Tropical Moist Region
    • G.Li,, D.Lu., E.Moran, L.Dutra, and M.Batistella. 2012. “A Comparative Analysis of ALOS PALSAR L-Band and RADARSAT-2 C-Band Data for Land-Cover Classification in A Tropical Moist Region.” ISPRS Journal of Photogrammetry and Remote Sensing 70: 26–38. doi:10.1016/j.isprsjprs.2012.03.010.
    • (2012) ISPRS Journal of Photogrammetry and Remote Sensing , vol.70 , pp. 26-38
    • Li, G.1    Lu, D.2    Moran, E.3    Dutra, L.4    Batistella, M.5
  • 47
    • 33745088736 scopus 로고    scopus 로고
    • A Rule-Based Method for Mapping Canada’s Wetlands Using Optical, Radar and DEM Data
    • J.Li,, and W.Chen. 2005. “A Rule-Based Method for Mapping Canada’s Wetlands Using Optical, Radar and DEM Data.” International Journal of Remote Sensing 26: 5051–5069. doi:10.1080/01431160500166516.
    • (2005) International Journal of Remote Sensing , vol.26 , pp. 5051-5069
    • Li, J.1    Chen, W.2
  • 48
    • 37749013357 scopus 로고    scopus 로고
    • Regression and Analytical Models for Estimating Mangrove Wetland Biomass in South China Using Radarsat Images
    • X.Li,, A.Gar-On Yeh, S.Wang, K.Liu, X.Liu, J.Qian, and X.Chen. 2007. “Regression and Analytical Models for Estimating Mangrove Wetland Biomass in South China Using Radarsat Images.” International Journal of Remote Sensing 28: 5567–5582. doi:10.1080/01431160701227638.
    • (2007) International Journal of Remote Sensing , vol.28 , pp. 5567-5582
    • Li, X.1    Gar-On Yeh, A.2    Wang, S.3    Liu, K.4    Liu, X.5    Qian, J.6    Chen, X.7
  • 49
    • 78650365862 scopus 로고    scopus 로고
    • Wetland Characterization and Classification Using Polarimetric Radarsat-2 Data
    • Guo H., Wang C., (eds)
    • J.Liao,, and Q.Wang. 2010. “Wetland Characterization and Classification Using Polarimetric Radarsat-2 Data.” In the Proceedings of SPIE. Vol. 7841, edited by H.Guo and C.Wang. Sixth International Symposium on Digital Earth: Data Processing and Applications. SPIE, Digital Library. http://dx.doi.org/10.1117/12.873258
    • (2010) the Proceedings of SPIE , vol.7841
    • Liao, J.1    Wang, Q.2
  • 50
    • 48849104493 scopus 로고    scopus 로고
    • Radarsat-1 and ERS Insar Analysis over Southeastern Coastal Louisiana: Implications for Mapping Water-Level Changes beneath Swamp Forests
    • Z.Lu,, and O.-I.Kwoun. 2008. “Radarsat-1 and ERS Insar Analysis over Southeastern Coastal Louisiana: Implications for Mapping Water-Level Changes beneath Swamp Forests.” IEEE Transactions on Geoscience and Remote Sensing 46: 2167–2184. doi:10.1109/TGRS.2008.917271.
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , pp. 2167-2184
    • Lu, Z.1    Kwoun, O.-I.2
  • 51
    • 84865769008 scopus 로고    scopus 로고
    • One Year Wetland Survey Investigations from Quad-Pol RADARSAT-2 Time-Series SAR Images
    • C.Marechal,, E.Pottier, L.Hubert-Moy, and S.Rapinel. 2012. “One Year Wetland Survey Investigations from Quad-Pol RADARSAT-2 Time-Series SAR Images.” Canadian Journal of Remote Sensing 38: 240–252. doi:10.5589/m12-017.
    • (2012) Canadian Journal of Remote Sensing , vol.38 , pp. 240-252
    • Marechal, C.1    Pottier, E.2    Hubert-Moy, L.3    Rapinel, S.4
  • 52
  • 53
    • 84883357934 scopus 로고    scopus 로고
    • ASAR/ENVISAT Images for the Calibration of Wind Hydrodynamic Effect on Donana Wetlands
    • B.Marti-Cardona,, T.D.Tran, E.Blade-Castellet, and J.Dolz-Ripolles. 2010. “ASAR/ENVISAT Images for the Calibration of Wind Hydrodynamic Effect on Donana Wetlands.” IAHS-AISH Publication 352: 459–463.
    • (2010) IAHS-AISH Publication , vol.352 , pp. 459-463
    • Marti-Cardona, B.1    Tran, T.D.2    Blade-Castellet, E.3    Dolz-Ripolles, J.4
  • 55
    • 0036105073 scopus 로고    scopus 로고
    • The Effect of Soil and Crop Residue Characteristics on Polarimetric Radar Response
    • H.McNairn,, C.Duguay, B.Brisco, and T.J.Pultz. 2002. “The Effect of Soil and Crop Residue Characteristics on Polarimetric Radar Response.” Remote Sensing of Environment 80: 308–320. doi:10.1016/S0034-4257(01)00312-1.
    • (2002) Remote Sensing of Environment , vol.80 , pp. 308-320
    • McNairn, H.1    Duguay, C.2    Brisco, B.3    Pultz, T.J.4
  • 56
    • 84879837474 scopus 로고    scopus 로고
    • Mapping Trees outside Forests Using High-Resolution Aerial Imagery: A Comparison of Pixel- and Object-Based Classification Approaches
    • D.M.Meneguzzo,, G.C.Liknes, and M.D.Nelson. 2013. “Mapping Trees outside Forests Using High-Resolution Aerial Imagery: A Comparison of Pixel- and Object-Based Classification Approaches.” Environmental Monitoring and Assessment 185: 6261–6275. doi:10.1007/s10661-012-3022-1.
    • (2013) Environmental Monitoring and Assessment , vol.185 , pp. 6261-6275
    • Meneguzzo, D.M.1    Liknes, G.C.2    Nelson, M.D.3
  • 57
    • 84888379407 scopus 로고    scopus 로고
    • Wetland Mapping with Lidar Derivatives, SAR Polarimetric Decompositions and Lidar-SAR Fusion Using a Random Forest Classifier
    • K.Millard,, and M.Richardson. 2013. “Wetland Mapping with Lidar Derivatives, SAR Polarimetric Decompositions and Lidar-SAR Fusion Using a Random Forest Classifier.” Canadian Journal of Remote Sensing 39: 290–307. doi:10.5589/m13-038.
    • (2013) Canadian Journal of Remote Sensing , vol.39 , pp. 290-307
    • Millard, K.1    Richardson, M.2
  • 58
    • 84867619533 scopus 로고    scopus 로고
    • Distinguishing Wetland Vegetation and Channel Features with Object-Based Image Segmentation
    • K.B.Moffett,, and S.M.Gorelick. 2013. “Distinguishing Wetland Vegetation and Channel Features with Object-Based Image Segmentation.” International Journal of Remote Sensing 34: 1332–1354. doi:10.1080/01431161.2012.718463.
    • (2013) International Journal of Remote Sensing , vol.34 , pp. 1332-1354
    • Moffett, K.B.1    Gorelick, S.M.2
  • 59
    • 84880407248 scopus 로고    scopus 로고
    • Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic TundraWetlands
    • S.Muster,, B.Heim, A.Abnizova, and J.Boike. 2013. “Water Body Distributions Across Scales: A Remote Sensing Based Comparison of Three Arctic TundraWetlands.” Remote Sensing 5: 1498–1523. doi:10.3390/rs5041498.
    • (2013) Remote Sensing , vol.5 , pp. 1498-1523
    • Muster, S.1    Heim, B.2    Abnizova, A.3    Boike, J.4
  • 60
    • 84864512878 scopus 로고    scopus 로고
    • High Density Biomass Estimation for Wetland Vegetation Using Worldview-2 Imagery and Random Forest Regression Algorithm
    • O.Mutanga,, E.Adam, and M.A.Cho. 2012. “High Density Biomass Estimation for Wetland Vegetation Using Worldview-2 Imagery and Random Forest Regression Algorithm.” International Journal of Applied Earth Observation and Geoinformation 18: 399–406. doi:10.1016/j.jag.2012.03.012.
    • (2012) International Journal of Applied Earth Observation and Geoinformation , vol.18 , pp. 399-406
    • Mutanga, O.1    Adam, E.2    Cho, M.A.3
  • 62
    • 0003576002 scopus 로고    scopus 로고
    • Warner B.G., Rubec C.D.A., (eds), 2nd, Waterloo: Wetlands Research Centre, University of Waterloo
    • National Wetlands Working Group. 1997. The Canadian Wetland Classification System. 2nd ed. Edited by B.G.Warner and C.D.A.Rubec, 68p. Waterloo, ON: Wetlands Research Centre, University of Waterloo.
    • (1997) The Canadian Wetland Classification System , pp. 68
  • 63
    • 79951944805 scopus 로고    scopus 로고
    • A Comparison of Pixel-Based and Object-Oriented Approaches to VHR Imagery for Mapping Saltmarsh Plants
    • Z.-T.Ouyang,, M.-Q.Zhang, X.Xie, Q.Shen, H.-Q.Guo, and B.Zhao. 2011. “A Comparison of Pixel-Based and Object-Oriented Approaches to VHR Imagery for Mapping Saltmarsh Plants.” Ecological Informatics 6: 136–146. doi:10.1016/j.ecoinf.2011.01.002.
    • (2011) Ecological Informatics , vol.6 , pp. 136-146
    • Ouyang, Z.-T.1    Zhang, M.-Q.2    Xie, X.3    Shen, Q.4    Guo, H.-Q.5    Zhao, B.6
  • 64
    • 0036814955 scopus 로고    scopus 로고
    • Satellite Remote Sensing of Wetlands
    • S.L.Ozesmi,, and M.E.Bauer. 2002. “Satellite Remote Sensing of Wetlands.” Wetlands Ecology and Management 10: 381–402. doi:10.1023/A:1020908432489.
    • (2002) Wetlands Ecology and Management , vol.10 , pp. 381-402
    • Ozesmi, S.L.1    Bauer, M.E.2
  • 65
    • 84874983582 scopus 로고    scopus 로고
    • Optimizing Landscape Selection for Estimating Relative Effects of Landscape Variables on Ecological Responses
    • J.Pasher,, S.W.Mitchell, D.J.King, L.Fahrig, A.C.Smith, and K.E.Lindsay. 2013. “Optimizing Landscape Selection for Estimating Relative Effects of Landscape Variables on Ecological Responses.” Landscape Ecology 28: 371–383. doi:10.1007/s10980-013-9852-6.
    • (2013) Landscape Ecology , vol.28 , pp. 371-383
    • Pasher, J.1    Mitchell, S.W.2    King, D.J.3    Fahrig, L.4    Smith, A.C.5    Lindsay, K.E.6
  • 66
    • 0030615383 scopus 로고    scopus 로고
    • Detecting Seasonal Flooding Cycles in Marshes of the Yucatan Peninsula with SIR-C Polarimetric Radar Imagery
    • K.O.Pope,, E.Rejmankova, J.F.Paris, and R.Woodruff. 1997. “Detecting Seasonal Flooding Cycles in Marshes of the Yucatan Peninsula with SIR-C Polarimetric Radar Imagery.” Remote Sensing of Environment 59: 157–166. doi:10.1016/S0034-4257(96)00151-4.
    • (1997) Remote Sensing of Environment , vol.59 , pp. 157-166
    • Pope, K.O.1    Rejmankova, E.2    Paris, J.F.3    Woodruff, R.4
  • 68
    • 33645702898 scopus 로고    scopus 로고
    • Evaluation of RADARSAT-1 Images Acquired in Fine Mode for the Study of Boreal Peatlands: A Case Study in James Bay, Canada
    • M.-J.Racine,, M.Bernier, and T.Ouarda. 2005. “Evaluation of RADARSAT-1 Images Acquired in Fine Mode for the Study of Boreal Peatlands: A Case Study in James Bay, Canada.” Canadian Journal of Remote Sensing 31: 450–467. doi:10.5589/m05-029.
    • (2005) Canadian Journal of Remote Sensing , vol.31 , pp. 450-467
    • Racine, M.-J.1    Bernier, M.2    Ouarda, T.3
  • 70
    • 0001807509 scopus 로고    scopus 로고
    • Radar Fundamentals: Technical Perspective
    • Henderson R.M., Lewis A.J., (eds), 3rd, New York, NY: John Wiley and Sons
    • R.K.Raney, 1998, “Radar Fundamentals: Technical Perspective.” In Principles and Applications of Imaging Radar: Manual of Remote Sensing. Vol. 2. 3rd ed., edited by R.M.Henderson and A.J.Lewis. New York, NY: John Wiley and Sons.
    • (1998) Principles and Applications of Imaging Radar: Manual of Remote Sensing , vol.2
    • Raney, R.K.1
  • 72
    • 70249102044 scopus 로고    scopus 로고
    • Integrating Spectral Indices into Prediction Models of Soil Phosphorus in a Subtropical Wetland
    • R.G.Rivero,, S.Grunwald, M.W.Binford, and T.Z.Osborne. 2009. “Integrating Spectral Indices into Prediction Models of Soil Phosphorus in a Subtropical Wetland.” Remote Sensing of Environment 113: 2389–2402.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 2389-2402
    • Rivero, R.G.1    Grunwald, S.2    Binford, M.W.3    Osborne, T.Z.4
  • 74
    • 84885341302 scopus 로고    scopus 로고
    • Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery
    • A.Schmitt,, and B.Brisco. 2013. “Wetland Monitoring Using the Curvelet-Based Change Detection Method on Polarimetric SAR Imagery.” Water 5: 1036–1051. doi:10.3390/w5031036.
    • (2013) Water , vol.5 , pp. 1036-1051
    • Schmitt, A.1    Brisco, B.2
  • 75
    • 77954818639 scopus 로고    scopus 로고
    • Silva, T. S. F., M. P. F. Costa, and J. M. Melack. 2010. “Spatial and Temporal Variability of Macrophyte Cover and Productivity in the Eastern Amazon Floodplain: A Remote Sensing Approach.” Remote Sensing of Environment 114: 1998–2010.
    • (2010)
  • 77
    • 34748846843 scopus 로고    scopus 로고
    • Optimization in Multi-Scale Segmentation of High-Resolution Satellite Images for Artificial Feature Recognition
    • J.Tian,, and D.-M.Chen. 2007. “Optimization in Multi-Scale Segmentation of High-Resolution Satellite Images for Artificial Feature Recognition.” International Journal of Remote Sensing 28: 4625–4644. doi:10.1080/01431160701241746.
    • (2007) International Journal of Remote Sensing , vol.28 , pp. 4625-4644
    • Tian, J.1    Chen, D.-M.2
  • 78
    • 4944239533 scopus 로고    scopus 로고
    • A Review of Polarimetry in the Context of Synthetic Aperture Radar: Concepts and Information Extraction
    • R.Touzi,, W.M.Boerner, J.S.Lee, and E.Luneburg. 2004. “A Review of Polarimetry in the Context of Synthetic Aperture Radar: Concepts and Information Extraction.” Canadian Journal of Remote Sensing 30: 380–407.
    • (2004) Canadian Journal of Remote Sensing , vol.30 , pp. 380-407
    • Touzi, R.1    Boerner, W.M.2    Lee, J.S.3    Luneburg, E.4
  • 79
    • 38849149885 scopus 로고    scopus 로고
    • Wetland Characterization Using Polarimetric RADARSAT-2 Capability
    • R.Touzi,, A.Deschamps, and G.Rother. 2007. “Wetland Characterization Using Polarimetric RADARSAT-2 Capability.” Canadian Journal of Remote Sensing 33: S56–S67. doi:10.5589/m07-047.
    • (2007) Canadian Journal of Remote Sensing , vol.33 , pp. 56-67
    • Touzi, R.1    Deschamps, A.2    Rother, G.3
  • 81
    • 84899769183 scopus 로고    scopus 로고
    • Random Forest Classification of Salt Marsh Vegetation Habitats Using Quad-Polarimetric Airborne SAR, Elevation and Optical RS Data
    • S.Van Beijma,, A.Comber, and A.Lamb. 2014. “Random Forest Classification of Salt Marsh Vegetation Habitats Using Quad-Polarimetric Airborne SAR, Elevation and Optical RS Data.” Remote Sensing of Environment 149: 118–129.
    • (2014) Remote Sensing of Environment , vol.149 , pp. 118-129
    • Van Beijma, S.1    Comber, A.2    Lamb, A.3
  • 82
    • 0023383513 scopus 로고
    • Imaging Radar Polarisation Signatures: Theory and Observation
    • J.J.Van Zyl,, H.A.Zebker, and C.Elachi. 1987. “Imaging Radar Polarisation Signatures: Theory and Observation.” Radio Science 22: 52–543.
    • (1987) Radio Science , vol.22 , pp. 52-543
    • Van Zyl, J.J.1    Zebker, H.A.2    Elachi, C.3
  • 83
    • 79952009596 scopus 로고    scopus 로고
    • Use of Multi-Sensor Data to Identify and Map Tropical Coastal Wetlands in the Amazon of Northern Brazil
    • S.Waleska,, P.Rodrigues, P.Walfir, and M.Souza-Filho. 2011. “Use of Multi-Sensor Data to Identify and Map Tropical Coastal Wetlands in the Amazon of Northern Brazil.” Wetlands 31: 11–23.
    • (2011) Wetlands , vol.31 , pp. 11-23
    • Waleska, S.1    Rodrigues, P.2    Walfir, P.3    Souza-Filho, M.4
  • 84
    • 84863144668 scopus 로고    scopus 로고
    • Wang, X., K. Wang, and B. Zhou. 2011. “Object-Based Classification of IKONOS Data for Endemic Torreya Mapping.” Procedia Environmental Sciences 10: 1887–1891. doi:10.1016/j.proenv.2011.09.295.
    • (2011)
  • 85
    • 80055029505 scopus 로고    scopus 로고
    • Optimal ENVISAT Advanced Synthetic Aperture Radar Image Parameters for Mapping and Monitoring Sahelian Floodplains
    • T.Westra,, R.De Wulf, F.Van Coillie, and S.Crabbe. 2010. “Optimal ENVISAT Advanced Synthetic Aperture Radar Image Parameters for Mapping and Monitoring Sahelian Floodplains.” Journal of Applied Remote Sensing 4: 1–17.
    • (2010) Journal of Applied Remote Sensing , vol.4 , pp. 1-17
    • Westra, T.1    De Wulf, R.2    Van Coillie, F.3    Crabbe, S.4
  • 86
    • 34047138873 scopus 로고    scopus 로고
    • Improved Wetland Remote Sensing in Yellowstone National Park Using Classification Trees to Combine TM Imagery and Ancillary Environmental Data
    • C.Wright,, and A.Gallant. 2007. “Improved Wetland Remote Sensing in Yellowstone National Park Using Classification Trees to Combine TM Imagery and Ancillary Environmental Data.” Remote Sensing of Environment 107: 582–605.
    • (2007) Remote Sensing of Environment , vol.107 , pp. 582-605
    • Wright, C.1    Gallant, A.2
  • 87
    • 30444439845 scopus 로고    scopus 로고
    • Effect of Alternative Splitting Rules on Image Processing Using Classification Tree Analysis
    • M.Zambon,, R.Lawrence, A.Bunn, and S.Powell. 2006. “Effect of Alternative Splitting Rules on Image Processing Using Classification Tree Analysis.” Photogrammetric Engineering & Remote Sensing 72: 25–30. doi:10.14358/PERS.72.1.25.
    • (2006) Photogrammetric Engineering & Remote Sensing , vol.72 , pp. 25-30
    • Zambon, M.1    Lawrence, R.2    Bunn, A.3    Powell, S.4
  • 88
    • 81755178493 scopus 로고    scopus 로고
    • Wetland Landscape Pattern Analysis with Remote Sensing Images in Ximen Island Special Marine Protected Area
    • Michel U., Civco D.L., (eds), October
    • H.Zhang,, D.Li, L.Li, and A.Shi. 2011. “Wetland Landscape Pattern Analysis with Remote Sensing Images in Ximen Island Special Marine Protected Area.” In Proceedings of SPIE 8181, edited by U.Michel and D.L.Civco. Earth Resources and Environmental Remote Sensing/GIS Applications II conference, October27. SPIE. doi:10.1117/12.897709.
    • (2011) Proceedings of SPIE 8181
    • Zhang, H.1    Li, D.2    Li, L.3    Shi, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.