Mapping wetlands and phragmites using publically available remotely sensed images

Photogrammetric Engineering and Remote Sensing

Volumn 81, Issue 1, 2015, Pages 69-78

  Xie, Yichun ^a   Zhang, Anbing ^b   Welsh, William ^a  

^a EASTERN MICHIGAN UNIVERSITY   (United States)

^b HEBEI UNIVERSITY OF ENGINEERING   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL ROBOTS; INTEGRATION; PHOTOMAPPING; REMOTE SENSING; WETLANDS;

ENVIRONMENTAL SCIENTISTS; HIGH SPATIAL RESOLUTION IMAGES; INTEGRATION OF IMAGES; MAPPING TECHNIQUES; REMOTELY SENSED IMAGES; SPECTRAL INFORMATION; SPECTRAL SOLUTIONS; STANDARD PROCEDURES;

IMAGE CLASSIFICATION;

ACCURACY ASSESSMENT; GRASS; IMAGE CLASSIFICATION; IMAGE RESOLUTION; INVASIVE SPECIES; REMOTE SENSING; SATELLITE IMAGERY; WETLAND;

DETROIT RIVER;

PHRAGMITES;

EID: 84922375049     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.81.1.69     Document Type: Article

References (70)

1. M.E. Andrew S.L. Ustin The role of environmental context in mapping invasive plants with hyperspectral image data, Remote Sensing of Environment 112 2008 4301 4317
2. G.P. Asner R.E. Martin Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels, Remote Sensing of Environment 112 2008 3958 3970
3. C. Baker R. Lawrence C. Montagne D. Patten Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models Wetlands 26 2006 465 474
4. A. Baraldi Fuzzification of a crisp near-real-time operational automatic spectral-rule- based decision-tree preliminary classifier of multisource multispectral remotely sensed images IEEE Transactions on Geoscience and Remote Sensing 48 2011 2113 2134
5. U.C. Benz P. Hofmann G. Willhauck I. Lingenfelder M. Heynen Multiresolution object-oriented fuzzy analysis of remote sensing data for GIS-ready information ISPRS Journal of Photogrammetry and Remote Sensing 3,4 58 2004 239 258
6. Bourgeau-Chavez L.L. K. Riordan M. Nowels N. Miller Remotely Monitoring Great Lakes Coastal Wetlands using a Hybrid Radar and Multi-spectral Sensor Approach, Final Report to the Great Lakes Commission, Project No.WETLANDS2-WPA06 URL: http://www.glc.org/wetlands/pdf/GD-landscapeRe-port.pdf 2004 82
7. L. Cerna M. Chytry Supervised classification of plant communities with artificial neural networks Journal of Vegetation Science 16 2005 407 414
8. Chavez P.S. Image-based atmospheric corrections - Revisited and improved Photogrammetric Engineering & Remote Sensing 62 1996 1025 1036
9. D.M. Chen D. Stow The effect of training strategies on supervised classification at different spatial resolutions Photogrammetric Engineering & Remote Sensing 68 2002 1155 1161
10. W.H. Chen S.H. Hsu H.P. Shen Application of SVM and ANN for intrusion detection Computers and Operations Research 32 32 2005 2617 2634
11. M. Chi L. Bruzzone A semilabeled-sample-driven bagging technique for ill-posed classification problems IEEE Geoscience and Remote Sensing Letters 2 2005 69 73
12. A.M. Cingolani D. Renison M.R. Zak M.R. Cabido Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: An alternative method to define and classify land-cover units Remote Sensing of Environment 92 2004 84 97
13. R.G. Congalton A review of assessing the accuracy of classifications of remotely sensed data Remote Sensing of Environment 37 1991 35 46
14. J.M. Corcoran J.F. Knight B. Brisco S. Kaya A. Cull K. Mur-naghan The integration of optical, topographic, and radar data for wetland mapping in northern Minnesota, Canadian Journal of Remote Sensing 37 2011 564 582
15. T.E. Dahl Wetlands-Losses in the United States, 1780 s to 1980 s, Washington, D.C US Fish and Wildlife Service Report to Congress 1980 13
16. A. Davranche G. Lefebvre B. Poulin Wetland monitoring using classification trees and SPOT-5 seasonal time series Remote Sensing of Environment 114 2010 552 562
17. C.J. Du D.W. Sun Multi-classification of pizza using computer vision and support vector machine Journal of Food Engineering 86 2008 234 242
18. P.J. Du K. Tan X.S. Xing Wavelet SVM in reproducing kernel Hilbert space for hyperspectral remote sensing image classification Optics Communications 283 2010 4978 4984
19. J.H. Everitt C. Yang C.J. Deloach Remote sensing of giant reed with QuickBird satellite imagery Journal of Aquatic Plant Management 43 2005 81 85
20. S.M. Galatowitsch N.O. Anderson P.D. Ascher Invasiveness in wetland plants in temperate North America Wetlands 19 1999 733 755
21. X.S. Guo L.Y. Sun G. Li S. Wang A hybrid wavelet analysis and support vector machines in forecasting development of manufacturing Expert Systems with Applications 1,2 35 2008 415 422
22. F.M. Henderson A.J. Lewis Radar detection of wetland ecosystems: A review International Journal of Remote Sensing 29 20 2008 5809 5835
23. R. Higdon D.W. Schafer Maximum likelihood computations for regression with measurement error Computational Statistics and Data Analysis 35 2001 283 299
24. C.W. Hsu C.J. Lin A simple decomposition method for support vector machine Journal of Machine Learning 1,3 46 2002 219 314
25. Y.M. Huang S.X. Du Weighted support vector machine for classification with uneven training class sizes, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, 18-21 August, Guangzhou China 7 2005 4365 4369
26. E.S. Kasischke L.L. Bourgeau-Chavez Monitoring south Florida wetlands using ERS-1 SAR imagery Photogrammetric Engineering and Remote Sensing 63 1997 281 291
27. A.I. Kozlov L.P. Ligthart A.I. Logvin Mathematical and Physical Modeling of Microwave Scattering and Polarimetric Remote Sensingv- Monitoring the Earth’s Environment Using Polarimetric Radar: Formulation and Potential Applications, Kluwer Academic Publishers Boston, Massachusetts 2001 2001
28. U. KreBel Pairwise classification and support vector machines, Advances in Kernel Methods: Support Vector Learning, MIT Press, Cambridge Massachusetts 1999 255 268
29. O. Kwoun Z. Lu Multi-temporal RADARSAT-1 and ERS backscattering signatures of coastal wetlands in southeastern Louisiana, Photogrammetric Engineering & Remote Sensing 75 5 2009 607 617
30. H. Lan Y. Xie A semi-ellipsoid-model based fuzzy classifier to map grassland in inner Mongolia, China ISPRS Journal of Photogrammetry and Remote Sensing 85 2013 21 31
31. S.K. Langley H.M. Cheshire K.S. Humes A comparison of single date and multitemporal satellite image classifications in a semi-arid grassland Journal of Arid Environments 49 2001 401 411
32. R.D. Lopez D.T. Heggem D. Sutton T. Ehli R.V. Remortel E. Evan-son L. Bice Using Landscape Metrics to Develop Indicators of Great Lakes Coastal Wetland Condition, EPA/X-06/002.Las Vegas, Nevada, US Environmental Protection Agency Environmental Sciences Division 2006 76
33. D. Lu Q. Weng A survey of image classification methods and techniques for improving classification performance International Journal of Remote Sensing 28 5 2007 823 870
34. R.S. Lunetta M.E. Balogh Application of multi-temporal Landsat 5 TM imagery for wetland Identification, Photogrammet-ric Engineering Remote Sensing 65 1999 1303 1310
35. C. Malon S. Uchida M. Suzuki Mathematical symbol recognition with support vector machines Pattern Recognition Letters 29 9 2008 1326 1332
36. U. Maulik I. Saha Automatic fuzzy clustering using modified differential evolution for image classification IEEE Transactions on Geoscience and Remote Sensing 48 9 2010 3503 3510
37. E.L. Mills J.H. Leach J.T. Carlton C.L. Secor Exotic species in the Great Lakes: A history of biotic crises and anthropogenic introductions Journal of Great Lakes Research 19 1993 1 54
38. N.E. Mitrakis C.A. Topaloglou T.K. Alexandridis J.B. Theocharis G.C. Zalidis Decision fusion of GA self-organizing neuro-fuzzy multilayered classifiers for land cover classification using textural and spectral features IEEE Transactions on Geoscience and Remote Sensing 46 7 2008 2137 2151
39. Mitra P. B.U. Shankar S.K. Pal Segmentation of mul-tispectral remote sensing images using active support vector machines Pattern Recognition Letters 25 2004 1067 1074
40. W.J. Mitsch J.G. Gosselink Wetlands, Fourth edition, John Wiley & Sons, Hoboken New Jersey 2007
41. H. Nemmour Y. Chibani Multiple support vector machines for land cover change detection: An application for mapping urban extensions ISPRS Journal of Photogrammetry & Remote Sensing 61 2006 125 133
42. E.M. Nielsen S.D. Prince G.T. Koeln Wetland change mapping for the U.S.mid-Atlantic region using an outlier detection technique Remote Sensing of Environment 112 2008 4061 4074
43. M.L. Nordberg J. Evertson Vegetation index differencing and linear regression for change detection in a Swedish mountain range using Landsat TM and ETM+ imagery Land Degradation & Development 16 2003 139 149
44. M. Pal Support vector machines/relevance vector machine for remote sensing classification: A review, Proceedings of the Brainstorming Workshop on Application of Advanced Soft Computing Techniques in Geospatial Data Analysis, 22-23 September, Bombay India 2008 211 227
45. B.W. Pengra C.A. Johnston T.R. Loveland Mapping an invasive plant, Phragmites australis, in coastal wetlands using the EO-1 Hyperion hyperspectral sensor Remote Sensing of Environment 108 2007 74 81
46. S. Pignatti R.M. Cavalli V. Cuomo L. Fusilli S. Pascucci M. Posco-lieri F. Santini Evaluating Hyperion capability for land cover mapping in a fragmented ecosystem: Pollino National Park, Italy Remote Sensing of Environment 113 3 2009 622 634
47. L.P. Rampi J.F. Knight K.C. Pelletier Wetland mapping in the upper Midwest United States: An object-based approach integrating lidar and imagery data Photogrammetric Engineering & Remote Sensing 80 5 2014 553 562
48. J. Reyer C. Wolf M. Murray Protecting and Restoring the Kidneys of the Great Lakes: An assessment of Wetlands Programs in Michigan, Minnesota, Ohio and Wisconsin, Wetlands_Report_ July_2009 National Wildlife Federation 2009 11
49. Z. Sha Y. Bai Y. Xie M. Yu L. Zhang Using a hybrid fuzzy classifier (HFC) to map typical grassland vegetation in Xilin River Basin, inner Mongolia, China International Journal of Remote Sensing 29 8 2008 2317 2337
50. M.I. Skolnik Radar Handbook, Third edition, McGraw-Hill, New York 2008
51. Y. Sohn J. Qi Mapping detailed biotic communities in the upper San Pedro Valley of southeastern Arizona using Landsat-7 ETM + data and supervised spectral angle classifier Photogrammetric Engineering & Remote Sensing 71 2005 709 718
52. Y. Sohn N.S. Rebello Supervised and unsupervised spectral angle classifiers Photogrammetric Engineering & Remote Sensing 68 12 2002 1271 1280
53. D.G. Stavrakoudis G.N. Galidaki I.Z. Gitas J.B. Theocharis A genetic fuzzy-rule-based classifier for land cover classification from hyperspectral Imagery IEEE Transactions on Geoscience and Remote Sensing 50 1 2012 130 148
54. M. Story R.G. Congalton Accuracy assessment: A user s perspective Photogrammetric Engineering & Remote Sensing 52 3 1986 397 399
55. N. Stuart T. Barratt C. Place Classifying the neotropical savannas of Belize using remote sensing and ground survey Journal of Biogeography 33 3 2006 476 490
56. K. Tan P.J. Du Hyperspectral remote sensing image classification based on radical basis function neural network Spectroscopy and Spectral Analysis 28 9 2009 2009 2013
57. F.J. Triepke C.K. Brewer D.M. Leavell S.J. Novak Mapping forest alliances and associations using fuzzy systems and nearest neighbor classifiers Remote Sensing of Environment 112 3 2008 1037 1050
58. S.L. Ustin D. DiPietro K. Olmstead E. Underwood G.J. Scheer Hyperspectral remote sensing for invasive species detection and mapping, Proceedings of the Geoscience and Remote Sensing Symposium, 2002, IGARSS '02, IEEE International, 2428 June, Toronto, Ontario Canada 3 2002 1658 1660
59. V.N. Vapnik The Nature of Statistical Learning Theory, Springer-Verlag New York 1995 188
60. V.N. Vapnik Statistical Learning Theory, John Wiley & Sons, New York 1998 736
61. P.K. Varshney M.K. Arora Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Spinger Berlin 2004 323
62. S.J. Walsh A.L. McCleary C.F. Mena Y. Shao J.P. Tuttle A. Gonzalez R. Atkinson QuickBird and Hyperion data analysis of an invasive plant species in the Galapagos Islands of Ecuador: Implications for control and land use management, Remote Sensing of Environment 112 2008 1927 1941
63. C. Wright A. Gallant Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data Remote Sensing of Environment 107 2007 582 605
64. K.L. Wilcox S.A. Petrie L.A. Maynard S.W. Meyer Historical distribution and abundance of Phragmites australis at Long Point, Lake Erie, Ontario Journal of Great Lakes Research 29 2003 664 680
65. Y.C. Wu Y.S. Lee J.C. Yang Robust and efficient multiclass SVM models for phrase pattern recognition Pattern Recognition 41 2008 2874 2889
66. Y. Xie Z. Sha M. Yu Remote sensing imagery in vegetation mapping: A review Journal of Plant Ecology 1 2008 9 23
67. Y. Xie Z. Sha Y. Bai Classifying historical remotely sensed imagery using a tempospatial feature evolution (T-SFE) model ISPRS Journal of Photogrammetry and Remote Sensing 65 2010 182 190
68. M. Xu P. Watanachaturaporn P.K. Varshney M.K. Arora Decision tree regression for soft classification of remote sensing data Remote Sensing of Environment 97 2005 322 336
69. A. Zhang Y. Xie A chaos-theory-based data-mining technique for image endmember extraction: Laypunov Index and Correlation Dimension (LandD) IEEE Transactions on Geoscience and Remote Sensing 52 2014 1935 1947
70. F.C. Zhao Y.H. Hu S.Q. Hao Classification using wavelet packet decomposition and support vector machine for digital modulations Journal of Systems Engineering and Electronics 19 5 2008 914 918