| Issue |
ITM Web Conf.
Volume 47, 2022
2022 2nd International Conference on Computer, Communication, Control, Automation and Robotics (CCCAR2022)
|
|
|---|---|---|
| Article Number | 03034 | |
| Number of page(s) | 8 | |
| Section | Control Technology and Robotics Technology | |
| DOI | https://doi.org/10.1051/itmconf/20224703034 | |
| Published online | 23 June 2022 | |
Geographical-environmental factors extraction and analysis for optical astronomical site selection based on multi-source remote sensing in Lenghu, Qinghai Province
1 School of Water Resources and Electric Power, Qinghai University, Xining 810016, China
2 State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
* Corresponding author: mengqk@qhu.edu.cn
At present, there are scarce sites that can require high-quality astronomical observations over the world, therefore, analysis of geographical-environmental factors and extraction of the potential places for astronomical observations is of significance. Remote sensing has the specific advantage for rapid and widespread monitoring and geo-spatial analysis. In this paper, Precipitable Water Vapor (PWV), clear nights, altitude and surface coverage, these four parameters associated with optical astronomical observation was selected, Analytic Hierarchy Process (AHP) evaluating model was adopted to determine the weighting parameters and calculated geo-environmental suitability. The results show that: (1) The lenghu region is characterized by seasonal variation with high PWV in summer and low PWV in the winter, representing non-summer periods are the best observation time. (2) The Lenghu region has relatively high clear nights with more than half of times through one year is suitable for observation. (3) Based on Geoenvironmental suitability mapping,Saishiteng Mountain is selected as a priority site for optical astronomical sites.
Key words: Water vapor content / Spatiotemporal distribution / MODIS data / Land cover / Lenghu area
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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