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DEVELOPMENT AND IMPLEMENTATION OF SCIENTIFIC BASED METHODOLOGY OF PREDICTING AND MODELING OF FLOOD AND INUNDATION USING KAZEOSAT-1, 2 SPACE CRAFT REMOTE SENSING DATAS

Duisenbai, N.; Baktybekov, Ê.; Àimbetov, À.; Òuleukulovà, D.; Rakhimzhanov, B.
Abstract:
Situation distance control after flood and inundation is one of the main problem to be solved by space monitoring of emergency situations, developed in Kazakhstan since 2001 y. It is connected with annual emergency situation which is developed in every region of water bodies representing potential or real imminence. During last three years there were heavy floods passed in Kazakhstan, especially in Akmola, Pavlodar, Karaganda regions. There is an acute security issue during spring time inundation, till nowadays there is no science-based methodology for predicting and modeling of flood and inundation using modern methods of GIS- projecting and update remote sensing datas. The ongoing development of own space remote sensing system, usage of KazEOSat -1,2 space craft datas for inundation modeling and predicting, authenticity models studing and DEM construction are the basis for scientific research in hydrological modeling of inundation. With a high resolution DEM, for example, from images shot from unmanned aerial vehicles or laser scanning of a terrain the developed program allows to conduct a more detailed study of the dynamics of terrain flooding and the identification of areas for evacuating the population and moving cattle. The developed program allows to identify the irregularities of cultivated fields surfaces for the use of precision farming methods.
SGEM Research areas:
Year:
2018
Type of Publication:
In Proceedings
Keywords:
flood; inundation; DEM; predicting and modeling; space monitoring
Volume:
18
SGEM Book title:
18th International Multidisciplinary Scientific GeoConference SGEM2018
Book number:
1.5
SGEM Series:
International Multidisciplinary Scientific GeoConference-SGEM
Pages:
253-258
Publisher address:
51 Alexander Malinov blvd, Sofia, 1712, Bulgaria
SGEM supporters:
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
Period:
3 – 6 December, 2018
ISBN:
978-619-7408-72-0
ISSN:
1314-2704
Conference:
18th International Multidisciplinary Scientific GeoConference SGEM2018, 3 – 6 December, 2018
DOI:
10.5593/sgem2018V/1.5/S02.031
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