Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 83-86, 2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
05 Jun 2014
Paleovalleys mapping using remote sensing
A.B. Baibatsha Kazakh National Technical University named after K.I. Satpayev, Almaty, Kazakhstan
Keywords: Space image, Interpretation, Paleovalleys, Ore-controlling structure, Groundwater resources Abstract. For work materials used multispectral satellite imagery Landsat (7 channels), medium spatial resolution (14,25–90 m) and a digital elevation model (data SRTM). For interpretation of satellite images and especially their infrared and thermal channels allocated buried paleovalleys pre-paleogene age. Their total length is 228 km. By manifestation of the content of remote sensing paleovalleys distinctly divided into two types, long ribbon-like read in materials and space survey highlights a network of small lakes. By the nature of the relationship established that the second type of river paleovalleys flogs first. On this basis, proposed to allocate two uneven river paleosystem. The most ancient paleovalleys first type can presumably be attributed to karst erosion, blurry chalk and carbon deposits foundation. Paleovalleys may include significant groundwater resources as drinking and industrial purposes. Also we can control the position paleovalleys zinc and bauxite mineralization area and alluvial deposits include uranium mineralization valleys infiltration type and placer gold. Direction paleovalleys choppy, but in general they have a north-east orientation, which is controlled by tectonic zones of the foundation. These zones are defined as the burial place themselves paleovalleys and position of karst cavities in areas interfacing with other structures orientation. The association of mineralization to the caverns in the beds paleovalleys could generally present conditions of formation of mineralization and carry it to the "Niagara" type. The term is obviously best reflects the mechanism of formation of these ores.
Conference paper (PDF, 1050 KB)

Citation: Baibatsha, A. B.: Paleovalleys mapping using remote sensing, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5, 83-86, doi:10.5194/isprsarchives-XL-5-83-2014, 2014.

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