Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 4, pp. 9-14
Preprocessing Landsat TM/ETM+ Data Sets for Creating Cloud-Free
Spring, Autumn and Winter Imagery
E.I. Belova
, D.V. Ershov
The Russian Academy of Science Center of Forest Ecology and Productivityffiliations, 117997 Moscow, 84/32 Profsoyuznaya str
Long-term high resolution Landsat-5/7 data archive is very useful for creating of actual regional land cover maps, which
ones are necessary for economic, ecologic and scientific tasks. The best recognition of land cover types is achieved due
to the use of all-season satellite data sets. It is caused by spectral reflectance variations of land cover classes in different
seasons. Provided that Landsat images are often contaminated with clouds and its shadows prevented the creating of
a high-quality season composite imagery. Therefore we have to develop automated cloud/shadow masking techniques
adapted different seasons, subject to effects from varying sun-sensor target geometries and surface temperature. This
paper is continuation of our investigations published in the last year conference proceedings. Here we describe the
cloud and shadows masking approach for spring, autumn and winter Landsat data sets.
Keywords: Landsat5/7, clouds and shadows cleaning, snow, NDSI
Full textReferences:
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