Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 73-82
Preprocessing Landsat TM/ETM+ Data Sets for Creating Cloud-Free
Composite Imagery
E.I. Belova
, D.V. Ershov
The Russian Academy of Science Center of Forest Ecology and Productivityffiliations, 117997 Moscow, 84/32 Profsoyuznaya str
For detailed regional assessments of forest ecosystems and studying forest dynamics we have to use high spatial resolution data like Landsat-5/7. The Landsat images are often contaminated with clouds and shadows and we can't use it for creation composite imagery. This requires the development of automated algorithms and techniques to eliminate artifacts and create high-quality composite images. In this paper we describe the cloud and shadows masking approach and demonstrate our cloud-free composite images for a few Russian regions.
Keywords: Landsat5/7, clouds and shadows cleaning, atmosphere correction, mosaic
Full textReferences:
- Peter Potapov, Svetlana Turubanova, Matthew C., Hansen Regional-scale boreal forest cover and change mapping using Landsat data composites for European Russia, Remote Sensing of Environment, Available at: doi:10.1016/j.rse.2010.10.001.
- Pat S. Chavez Jr., An Improved Dark-Object Subtraction Technique forAtmospheric Scattering Correction of Multispectral Data, Remote Sensing of Environment, 1988, No. 24, p. 459.
- Pat S. Chavez Jr., Radiometric calibration of Landsat Thematic Mapper Multispectral Images, Photogrammetric engineering and remote sensing, Vol. 55, No. 9, September 1989, pp. 1285-1294.
- Pat S. Chavez Jr., Image-Based Atmospheric corrections – revisited and improved, Photogrammetric engineering and remote sensing, Vol. 55, No. 9, September 1996, pp. 1025-1036.