Optical and radar data integration for land use and land cover mapping in the Brazilian Amazon

References

• Ban , Y. , Hu , H. and Rangel , I. M. 2010 . Fusion of Quickbird MS and RADARSAT SAR Data for Urban Land Cover Mapping: Object-Based and Knowledge-Based Approach.” . International Journal of Remote Sensing , 31 ( 6 ) : 1391 – 1410 .
   Web of Science ®Google Scholar
• Cakir , L. H. and Khorram , S. 2008 . Pixel Level Fusion of Panchromatic and Multispectral Images Based on Correspondence Analysis.” . Photogrammetric Engineering & Remote Sensing , 74 ( 2 ) : 183 – 192 .
   Web of Science ®Google Scholar
• Chavez , P. S. Jr. , Berlin , L. and Sowers , L. B. 1982 . Statistical Method for Selecting Landsat MSS Ratios.” . Journal of Applied Photographic Engineering , 8 ( 1 ) : 23 – 31 .
   Google Scholar
• Chavez , P. S. Jr. , Sides , S. C. and Anderson , J. A. 1991 . Comparison of Three Different Methods to Merge Multiresolution and Multispectral: Landsat TM and SPOT Panchromatic.” . Photogrammetric Engineering & Remote Sensing , 57 ( 3 ) : 295 – 303 .
   Web of Science ®Google Scholar
• Congalton , R. G. and Green , K. 2009 . Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, 183 p , Boca Raton, FL : CRC Press, Taylor & Francis Group .
   Google Scholar
• Dong , J. , Zhuang , D. , Huang , Y. and Fu , J. 2009 . Advances in Multi-Sensor Data Fusion: Algorithms and Applications.” . Sensors , 9 ( 10 ) : 7771 – 7784 .
   PubMed Web of Science ®Google Scholar
• Dutra , L. V. , Elmiro , M. T. , Freitas , C. C. , Santos , J. R. , Mura , J. C. and Filho , B. Soares . 2002 . “ The Use of Multi-Frequency Interferometric Products to Improve SAR Imagery Interpretability and Classification by Image Fusion.” . In Proceedings of III Workshop em Tratamento de Imagens: Núcleo de Processamento Digital de Imagens , Belo Horizonte : CD-ROM . MG, Brazil, June 27–28, 172–179
   Google Scholar
• Escada , M. I. S. , Amaral , S. , Rennó , C. D. and Pinheiro , T. F. 2009 . Levantamento Do Uso e Cobertura Da Terra e Da Rede De Infraestrutura No Distrito Florestal Da BR-163 , 52 São José dos Campos : Instituto Nacional de Pesquisas Espaciais .
   Google Scholar
• Freitas , C. C. , Soler , L. , Sant´Anna , S. J. S. , Dutra , L. V. , Santos , J. R. , Mura , J. C. and Correia , A. H. 2008 . Land Use and Land Cover Mapping in the Brazilian Amazon Using Polarimetric Airborne P-Band SAR Data.” . IEEE Transactions on Geoscience and Remote Sensing , 46 ( 10 ) : 2956 – 2970 .
   Web of Science ®Google Scholar
• Frery , A. C. , Freitas , C. C. and Correia , A. H. 2007 . Classifying Multifrequency Fully Polarimetric Imagery with Multiple Sources of Statistical Evidence and Contextual Information.” . IEEE Transactions on Geoscience and Remote Sensing , 45 ( 10 ) : 3098 – 3109 .
   Web of Science ®Google Scholar
• Haralick , R. M. , Sternberg , S. R. and Zhuang , X. 1987 . Image Analysis Using Mathematical Morphology.” . IEEE Transactions on Pattern Analysis and Machine Intelligence , 9 ( 4 ) : 532 – 550 .
   PubMed Web of Science ®Google Scholar
• Huang , S. , Potter , C. , Crabtree , C. R. L. , Hager , S. and Gross , P. 2010 . Fusing Optical and Radar Data to Estimate Sagebrush, Herbaceous, and Bare Ground Cover in Yellowstone.” . Remote Sensing of Environment , 114 ( 2 ) : 251 – 264 .
   Web of Science ®Google Scholar
• Laurila , H. , Karjalainen , M. , Kleemola , J. and Hyyppä , J. 2010 . Cereal Yield Modeling in Finland Using Optical and Radar Remote Sensing.” . Remote Sensing , 2 ( 9 ) : 2185 – 2239 .
   Web of Science ®Google Scholar
• Li , G. , Lu , D. , Moran , E. and Hetrick , S. 2011 . Land Cover Classification in a Moist Tropical Region of Brazil with Landsat Thematic Mapper Imagery.” . International Journal of Remote Sensing , 32 ( 23 ) : 8207 – 8230 .
   PubMed Web of Science ®Google Scholar
• Lu , D. , Batistella , M. and Moran , E. 2007 . Land Cover Classification in the Brazilian Amazon with the Integration of Landsat ETM+ and Radarsat Data.” . International Journal of Remote Sensing , 28 ( 24 ) : 5447 – 5459 .
   Web of Science ®Google Scholar
• Lu , D. , Li , G. , Moran , E. , Dutra , L. V. and Batistella , M. 2011 . A Comparison of Multisensor Integration Methods for Land Cover Classification in the Brazilian Amazon.” . GIScience and Remote Sensing , 48 ( 3 ) : 345 – 370 .
   Web of Science ®Google Scholar
• Mcnairn , H. , Champagne , C. , Shang , J. , Holmstrom , D. and Reichert , G. 2009 . Integration of Optical and Synthetic Aperture Radar (SAR) Imagery for Delivering Operational Annual Crop Inventories.” . ISPRS Journal of Photogrammetry and Remote Sensing , 64 ( 5 ) : 434 – 449 .
   Web of Science ®Google Scholar
• Pouteau , R. , and , B. and Stoll . 2011 . “ Fusion for Classes in Difficulty: For Accurate and Speed Tropical Rainforests Classification.” . In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS’ 2011) 740 – 743 . Vancouver, BC Canada, July 24–29, ISBN 978-1-4577-1005-6.
   Google Scholar
• Renzullo , L. , Barrett , D. , Marks , A. , Hill , M. J. , Guerschman , J. P. , Mu , Q. and Running , S. W. 2008 . Multi-Sensor Model-Data Fusion for Estimation of Hydrologic and Energy Flux Parameters.” . Remote Sensing of Environment , 112 ( 4 ) : 1306 – 1319 .
   Web of Science ®Google Scholar
• Rodrigues , S. W. P. and Souza-Filho , P. W. M. 2011 . Use of Multi-Sensor Data to Identify and Map Tropical Coastal Wetlands in the Amazon of Northern Brazil.” . Wetlands , 31 ( 1 ) : 11 – 23 .
   Web of Science ®Google Scholar
• Santos , C. and Messina , J. P. 2008 . Multi-Sensor Data Fusion for Modeling African Palm in the Ecuadorian Amazon.” . Photogrammetric Engineering & Remote Sensing , 74 ( 6 ) : 711 – 723 .
   Web of Science ®Google Scholar
• Silva , W. B. , Pereira , L. O. , Sant´Anna , S. J. S. , Freitas , C. C. , Guimarães , R. J. P. S. and Frery , A. C. 2011 . “ Land Cover Discrimination at Brazilian Amazon Using Region Based Classifier and Stochastic Distance.” . In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS’ 2011) 2900 – 2903 . Vancouver, BC Canada, July 24–29, ISBN 978-1-4577-1005-6.
   Google Scholar
• Sousa , M. A. Jr. 2005 . “Multilevel and Multimodel Segmentation for Radar and Optical Images.” [In Portuguese.] PhD thesis, National Institute of Space Research 131 São José dos Campos
   Google Scholar
• Torrion , J. A. 2002 . “Land Degradation Detection Mapping and Monitoring in the Lake Naivasha Basin Keya.” MSc diss., International Institute for Geo-Information Science and Earth Observation, Enschede 94
   Google Scholar
• Walker , W. S. , Baccini , A. , Kellndorfer , J. M. , Stickler , C. M. , Sun , M. , Laporte , N. T. and Goetz , S. J. 2011 . “ Mapping of Land Cover and Above-Ground Biomass in the Amazon Basin from Multi-Spectral Fusion of ALOS/PALSAR and LANDSAT Data Sources.” . In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS’ 2011) , Vancouver, BC : Unpaginated DVD. ISBN 978-1-4577-1004-9 . Canada, July 24–29,
   Google Scholar
• Walker , W. S. , Stickler , C. M. , Kellndorfer , J. M. , Kirsch , K. M. and Nepstad , D. C. 2010 . Large-area Classification and Mapping of Forest and Land Cover in the Brazilian Amazon: A Comparative Analysis of ALOS/PALSAR and Landsat Data Sources.” . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , 3 ( 4 ) : 594 – 604 .
   Web of Science ®Google Scholar
• Walker , W. S. , Wellndorfer , J. , Lapoint , E. , Hoppus , M. and Westfall , J. 2007 . An Empirical InSAR-Optical Fusion Approach to Mapping Vegetation Canopy Height.” . Remote Sensing of Environment , 109 ( 4 ) : 482 – 499 .
   Web of Science ®Google Scholar
• Waske , B. and Benediktsson , J. A. 2007 . Fusion of Support Vector Machines for Classification of Multisensor Data.” . IEEE Transactions on Geoscience and Remote Sensing , 45 ( 12 ) : 3858 – 3866 .
   Web of Science ®Google Scholar
• Waske , B. and Linden , S. V. D. 2008 . Classifying Multilevel Imagery from SAR and Optical Sensors by Decision Fusion.” . IEEE Transactions on Geoscience and Remote Sensing , 46 ( 5 ) : 1457 – 1466 .
   Web of Science ®Google Scholar
• Wijaya , A. , and , R. and Gloaguen . 2009 . “ Fusion of ALOS PALSAR and Landsat ETM Data for Land Cover Classification and Biomass Modeling Using Non-Linear Methods.” . In Proceedings of IEEE International Geoscience and Remote Sensing Symposium Cape Town, South Africa, July 12–17, 581–584. ISBN 978-1-4244-3395-7. (IGARSS’ 2009)
   Google Scholar
• Xiaoying , J. 2009 . Segmentation based image processing system. US Patent 0,123,070 Wilmington, DE: ITT Manufacturing Enterprises Inc.
   Google Scholar
• Zhang , J. 2010 . Multisource Remote Sensing Data Fusion: Status and Trends.” . International Journal of Image and Data Fusion , 1 ( 1 ) : 5 – 24 .
   Google Scholar
• Zhang , Y. 2004 . Understanding Image Fusion.” . Photogrammetric Engineering and Remote Sensing , 70 : 657 – 661 .
   Web of Science ®Google Scholar