DocumentCode :
124649
Title :
Remote sensing monitoring for spatial distribution of prosodes dilaticollis motsch hazards based on terrain gradient—A case study of manias and Hutubi county grassland
Author :
Wu Xiu-lan ; Zheng Jiang-hua ; Zheng Shu-dan ; Xuan Jun-wei ; Yimamu, A-buduwali ; Mu Chen ; Ni Yi-fei ; Wu Jian-guo ; Xiao Hong-wei
Author_Institution :
Sch. of Resources & Environ. Sci., Xinjiang Univ., Urumqi, China
fYear :
2014
fDate :
11-14 June 2014
Firstpage :
438
Lastpage :
442
Abstract :
A good understanding of the relationships between grassland pests and terrain gradient is essential for grassland management. To explore the difference of prosodes dilaticollis motsch hazards on terrain gradient and to reveal different effects in different geomorphological parts of prosodes dilaticollis motsch disaster, in this paper, we used the data from the chinese ZY1-02C satellite P/MS remote sensing, with the support of the spatial analysis function in ArcGIS, prosodes dilaticollis motsch outbreak information from image interpretation based on RS and GIS technology was overlapped with elevation, slop and aspect types which derived from digital elevation model (DEM) respectively, the terrain gradient distribution of prosodes dilaticollis motsch disasters in the study area were obtained and analyzed. The results showed that in the elevation and slope gradient, the prosodes dilaticollis motsch hazards mainly concentrated in the lower grades terrain, while in the aspect gradient the hazards distributed most both in the lower and higher grades terrain distribution more, less in the middle grades terrain.
Keywords :
digital elevation models; disasters; environmental monitoring (geophysics); geographic information systems; geomorphology; hazards; vegetation mapping; ArcGIS; Chinese ZY1-02C satellite P/MS remote sensing; DEM; GIS technology; Hutubi county grassland; Manias county; Prosodes Dilaticollis motsch hazard; digital elevation model; geomorphological parts; grassland management; grassland pest; image interpretation; prosodes dilaticollis motsch disaster; prosodes dilaticollis motsch outbreak information; remote sensing monitoring; spatial analysis function; spatial distribution; terrain gradient distribution; Conferences; Earth; digital elevation model; prosodes dilaticollis motsch hazards; spatial distribution; terrain gradient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-5757-6
Type :
conf
DOI :
10.1109/EORSA.2014.6927929
Filename :
6927929
Link To Document :
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