Improvement and expansion of the Fmask algorithm: Cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images

Remote Sensing of Environment

Volumn 159, Issue , 2015, Pages 269-277

  Zhu, Zhe ^a   Wang, Shixiong ^a   Woodcock, Curtis E ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

Cirrus; Cloud; Cloud shadow; Fmask; Landsat; Sentinel; Snow

Indexed keywords

ALGORITHMS; GEOMETRICAL OPTICS; SNOW;

CIRRUS; CLOUD SHADOWS; FMASK; LANDSAT; SENTINEL;

CLOUDS;

ALGORITHM; CIRRUS; CLOUD; LANDSAT; SENTINEL; SNOW;

EID: 84923804077     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.12.014     Document Type: Article

References (37)

1. Ackerman S., Strabala K., Menzel P., Frey R., Moeller C., Gumley L. Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35 2010, Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin. MODIS Cloud Mask Team (Ed.).
2. Berger M., Moreno J., Johannessen J.A., Levelt P.F., Hanssen R.F. ESA's sentinel missions in support of Earth system science. Remote Sensing of Environment 2012, 120:84-90.
3. Coppin P.R., Bauer M.E. Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features. IEEE Transactions on Geoscience and Remote Sensing 1994, 32:918-927.
4. Dozier J. Spectral signature of alpine snow cover from the Landsat Thematic Mapper. Remote Sensing of Environment 1989, 28:9-22.
5. Drusch M., Del Bello U., Carlier S., Colin O., Fernandez V., Gascon F., et al. Sentinel-2: ESA's optical high-resolution mission for GMES operational services. Remote Sensing of Environment 2012, 120:25-36.
6. Gao B.C., Goetz A.F., Wiscombe W.J. Cirrus cloud detection from airborne imaging spectrometer data using the 1.38μm water vapor band. Geophysical Research Letters 1993, 20(4):301-304.
7. Griffiths P., van der Linden S., Kuemmerle T., Hostert P. A pixel-based Landsat compositing algorithm for large area land cover mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2013, 6(5):2088-2101.
8. Guenther B., Xiong X., Salomonson V.V., Barnes W.L., Young J. On-orbit performance of the Earth Observing System Moderate Resolution Imaging Spectroradiometer; first year of data. Remote Sensing of Environment 2002, 83(1):16-30.
9. Hall D.K. MODIS snow cover algorithm changes for collection 6. The MODIS snow & sea ice global mapping project 2012, June 5, (Online: http://modis-snow-ice.gsfc.nasa.gov/?c=collection6 (accessed March 19, 2014)).
10. Hall D.K., Riggs G.A., Salomonson V.V., Barton J.S., Casey K., Chien J.Y.L., et al. Algorithm theoretical basis document (ATBD) for the MODIS snow and sea ice-mapping algorithms 2001, September, NASA GSFC.
11. Hartmann D.L. Global physical climatology 1994, Academic Press, San Diego. 1st ed.
12. Huang C., Goward S.N., Masek J.G., Thomas N., Zhu Z., Vogelmann J.E. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment 2010, 114:183-198.
13. Huang C., Thomas N., Goward S.N., Masek J.G., Zhu Z., Townshend J.R., et al. Automated masking of cloud and cloud shadow for forest change analysis using Landsat images. International Journal of Remote Sensing 2010, 31(20):5449-5464.
14. Huete A., Didan K., Miura T., Rodriguez E.P., Gao X., Ferreira L.G. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 2002, 83(1):195-213.
15. Irish R.R., Barker J.L., Goward S.N., Arvidson T. Characterization of the Landsat-7 ETM+ automated cloud-cover assessment (ACCA) algorithm. Photogrammetric Engineering and Remote Sensing 2006, 72(10):1179.
16. Irons J.R., Dwyer J.L., Barsi J.A. The next Landsat satellite: The Landsat data continuity mission. Remote Sensing of Environment 2012, 122:11-21.
17. Kennedy R.E., Andréfouët S., Cohen W.B., Gómez C., Griffiths P., Hais M., et al. Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment 2014, 12(6):339-346.
18. Kennedy R.E., Yang Z., Cohen W.B. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - Temporal segmentation algorithms. Remote Sensing of Environment 2010, 114(12):2897-2910.
19. Khlopenkov K.V., Trishchenko A.P. SPARC: New cloud, snow, and cloud shadow detection scheme for historical 1-km AVHHR data over Canada. Journal of Atmospheric and Oceanic Technology 2007, 24(3).
20. Luo Y., Trishchenko A.P., Khlopenkov K.V. Developing clear-sky, cloud and cloud shadow mask for producing clear-sky composites at 250-meter spatial resolution for the seven MODIS land bands over Canada and North America. Remote Sensing of Environment 2008, 112(12):4167-4185.
21. Maiersperger T., Scaramuzza P., Leigh L., Shrestha S., Gallo K., Jenkerson C., et al. Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data. Remote Sensing of Environment 2013, 136:1-13.
22. Masek J.G., Vermote E.F., Saleous N.E., Wolfe R., Hall F.G., Huemmrich K.F., et al. A Landsat surface reflectance dataset for North America, 1990-2000. IEEE Geoscience and Remote Sensing Letters 2006, 3(1):68-72.
23. Oreopoulos L., Wilson M.J., Várnai T. Implementation on Landsat data of a simple cloud-mask algorithm developed for MODIS land bands. IEEE Geoscience and Remote Sensing Letters 2011, 8(4):597-601.
24. Platnick S., King M.D., Ackerman S.A., Menzel W.P., Baum B.A., Riédi J.C., et al. The MODIS cloud products: Algorithms and examples from Terra. IEEE Transactions on Geoscience and Remote Sensing 2003, 41(2):459-473.
25. Roy D.P., Ju J., Kline K., Scaramuzza P.L., Kovalskyy V., Hansen M., et al. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sensing of Environment 2010, 114(1):35-49.
26. Roy D.P., Wulder M.A., Loveland T.R., Woodcock C.E., Allen R.G., Anderson, et al. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment 2014, 145:154-172.
27. Schott J.R., Gerace A., Raqueno N., Ientilucci E., Raqueno R., Lunsford A.W. Chasing the TIRS ghosts: calibrating the Landsat 8 thermal bands. SPIE optical engineering+applications 2014, October, 1-20. International Society for Optics and Photonics.
28. Soille P. Morphological image analysis: principles and applications 1999, 173-174. Springer-Verlag.
29. Soille P., Vogt J., Colombo R. Carving and adaptive drainage enforcement of grid digital elevation models. Water Resources Research 2003, 39(12):1-13.
30. Vermote E.F., El Saleous N.Z., Justice C.O. Atmospheric correction of MODIS data in the visible to middle infrared: first results. Remote Sensing of Environment 2002, 83(1):97-111.
31. White J.C., Wulder M.A., Hobart G.W., Luther J.E., Hermosilla T., Griffiths P., et al. Pixel-based image compositing for large-area dense time series applications and science. Canadian Journal of Remote Sensing 2014, 40(3):192-212.
32. Wilson M.J., Oreopoulos L. Enhancing a simple MODIS cloud mask algorithm for the Landsat data continuity mission. IEEE Transactions on Geoscience and Remote Sensing 2013, 51(2):723-731.
33. Woodcock C.E., Allen R., Anderson M., Belward A., Bindschadler R., Cohen W., et al. Free access to Landsat imagery. Science 2008, 320(5879):1011.
34. Zhang Y., Guindon B., Cihlar J. An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images. Remote Sensing of Environment 2002, 82(2):173-187.
35. Zhu Z., Woodcock C.E. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 2012, 118(15):83-94.
36. Zhu Z., Woodcock C.E. Automated cloud, cloud shadow, and snow detection based on multitemporal Landsat data: an algorithm designed specifically for land cover change. Remote Sensing of Environment 2014, 152:217-234.
37. Zhu Z., Woodcock C.E. Continuous change detection and classification of land cover using all available Landsat data. Remote Sensing of Environment 2014, 144:152-171.