Automated cloud and shadow detection and filling using two-date Landsat imagery in the USA

References

• Bréon , F. and Colzy , S. 1999 . Cloud Detection from the Spaceborne POLDER Instrument and Validation against Surface Synoptic Observations . American Meteorological Society , 38 : 777 – 85 .
   Google Scholar
• Chander , G. , Huang , C. , Yang , L. , Homer , C. and Larson , C. 2009 . Developing Consistent Landsat Data Sets for Large Area Applications: The MRLC 2001 Protocol . IEEE Geoscience and Remote Sensing Letters , 6 : 777 – 81 .
   Web of Science ®Google Scholar
• Chen , J. , Zhu , X. , Vogelmann , J. E. , Gao , F. and Jin , S. 2011 . A Simple and Effective Method for Filling Gaps in Landsat ETM+ SLC-Off Images . Remote Sensing of Environment , 115 : 1053 – 64 .
   Web of Science ®Google Scholar
• Choi , H. and Bindschadler , R. 2004 . Cloud Detection in Landsat Imagery of Ice Sheets Using Shadow Matching Technique and Automatic Normalized Difference Snow Index Threshold Value Decision . Remote Sensing of Environment , 91 : 237 – 42 .
   Web of Science ®Google Scholar
• Goward , S. , Irons , J. , Franks , S. , Arvidson , T. , Williams , D. and Faundeen , J. 2006 . Historical Record of Landsat Global Coverage: Mission Operations, NSLRSDA, and International Cooperator Stations . Photogrammetric Engineering & Remote Sensing , 72 : 1155 – 69 .
   Web of Science ®Google Scholar
• Hagolle , O. , Huc , M. , Pascual , V. and Dedieu , G. 2010 . A Multi-Temporal Method for Cloud Detection, Applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 Images . Remote Sensing of Environment , 114 : 1747 – 55 .
   Web of Science ®Google Scholar
• Helmer , E. H. and Ruefenacht , B. 2005 . Cloud-Free Satellite Image Mosaics with Regression Trees and Histogram Matching . Photogrammetric Engineering & Remote Sensing , 71 : 1079 – 89 .
   Web of Science ®Google Scholar
• Herold , N. D. , Cunningham , D. and Wylie , B. K. Paper presented at ASPRS 2003 annual conference proceedings . Image Processing for the Removal and Data Generation of Cloud Covered Areas through Classification and Regression Tree (CART) Analysis . May 5–9 , AK . Anchorage .
   Google Scholar
• Ho , A. T. S. and Cai , Z. 1996 . Cloud Detection in Satellite Images for Tropical Regions . Proceedings of SPIE , 2818 : 167 – 71 .
   Google Scholar
• Homer , C. , Huang , C. , Yang , L. , Wylie , B. K. and Coan , M. 2004 . Development of a 2001 National Land-Cover Database for the United States . Photogrammetric Engineering & Remote Sensing , 70 ( 7 ) : 829 – 40 .
   Web of Science ®Google Scholar
• Huang , C. , Nancy , T. , Goward , S. N. , Masek , J. G. , Zhu , Z. , Townshend , J. R. G. and Vogelmann , J. E. 2010 . Automated Masking of Cloud and Cloud Shadow for Forest Change Analysis Using Landsat Images . International Journal of Remote Sensing , 31 ( 20 ) : 5449 – 64 .
   Web of Science ®Google Scholar
• Irish , R. 2000 . Landsat 7 Automatic Cloud Cover Assessment . Proceedings of SPIE , 4049 : 348 – 55 .
   Google Scholar
• Irish , R. R. , Barker , J. L. , Goward , S. N. and Arvidson , T. J. 2006 . Characterization of the Landsat-7 ETM Automated Cloud-Cover Assessment (ACCA) Algorithm . Photogrammetric Engineering & Remote Sensing , 72 : 1179 – 88 .
   Web of Science ®Google Scholar
• Ju , J. and Roy , D. P. 2008 . The Availability of Cloud-Free Landsat ETM+ Data over the Conterminous United States and Globally . Remote Sensing of Environment , 112 : 1196 – 211 .
   Web of Science ®Google Scholar
• Le Hégarat-Mascle , S. and André , C. 2009 . Use of Markov Random Fields for Automatic Cloud/Shadow Detection on High Resolution Optical Images . Photogrammetry and Remote Sensing , 64 : 351 – 66 .
   Web of Science ®Google Scholar
• Martinuzzi , S. , Gould , W. A. and Ramos González , O. M. Creating Cloud-Free Landsat ETM+ Data Sets in Tropical Landscapes: Cloud and Cloud-Shadow Removal . General Technical Report IITF-GTR-32. International Institute of Tropical Forestry (IITF), U.S. Department of Agriculture (USDA), Forest Service. Puerto Rico: IITF . 2007 .
   Google Scholar
• Roy , D. P. 2000 . The Impact of Misregistration upon Composited Wide Field of View Satellite Data and Implications for Change Detection . IEEE Transactions on Geoscience and Remote Sensing , 38 : 2017 – 32 .
   Web of Science ®Google Scholar
• Roy , D. P. , Ju , J. , Kline , K. , Scaramuzza , P. L. , Kovalskyy , V. , Hansen , M. , Loveland , T. R. , Vermote , E. and Zhang , C. 2010 . Web-Enabled Landsat Data (WELD): Landsat ETM+ Composited Mosaics of the Conterminous United States . Remote Sensing of Environment , 114 : 35 – 49 .
   Web of Science ®Google Scholar
• Roy , D. P. , Ju , J. , Lewis , P. , Schaaf , C. , Gao , F. , Hansen , M. and Lindquist , E. 2008 . Multi-Temporal MODIS–Landsat Data Fusion for Relative Radiometric Normalization, Gap Filling, and Prediction of Landsat Data . Remote Sensing of Environment , 112 : 3112 – 30 .
   Web of Science ®Google Scholar
• Vogelmann , J. E. , Howard , S. M. , Yang , L. , Larson , C. R. , Wylie , B. K. and Van Driel , J. N. 2001 . Completion of the 1990’s NLCD for the Conterminous US . Photogrammetric Engineering & Remote Sensing , 67 : 650 – 62 .
   Web of Science ®Google Scholar
• Wang , B. , Ono , A. , Muramatsu , K. and Fujiwara , N. 1999 . Automated Detection and Removal of Clouds and their Shadows from Landsat TM Images . IEEE Transactions on Information and Systems , 2 : 453 – 60 .
   Google Scholar
• Williams , D. L. , Goward , S. and Arvidson , T. 2006 . Landsat: Yesterday, Today, and Tomorrow . Photogrammetric Engineering & Remote Sensing , 72 : 1171 – 8 .
   Web of Science ®Google Scholar
• Woodcock , C. E. , Allen , R. , Anderson , M. , Belward , A. , Bindschadler , R. , Cohen , W. , Gao , F. , Goward , S. N. , Helder , D. , Helmer , E. , Nemani , R. , Oreopoulos , L. , Schott , J. , Thenkabail , P. S. , Vermote , E. F. , Vogelmann , J. , Wulder , M. A. and Wynne , R. 2008 . Free Access to Landsat Imagery . Science , 320 : 1011
   PubMed Web of Science ®Google Scholar
• Zhang , C. , Li , W. and Travis , D. 2007 . Gaps-Fill of SLC-off Landsat ETM Plus Satellite Image Using a Geostatistical Approach . International Journal of Remote Sensing , 28 : 5103 – 22 .
   Web of Science ®Google Scholar