Study on permafrost distribution in Qinghai-Tibet Plateau based on MODIS data
- DOI
- 10.2991/rsete.2013.109How to use a DOI?
- Keywords
- MODIS, Qinghai-Tibet highway, permafrost, distribution simulation
- Abstract
It’s one of the important issues to identify the ground boundary of permafrost in the permafrost study. Mean annual ground temperature (MAGT) is the ground temperature at the depth of zero annual amplitude in permafrost layers and it is one of the main indicators for permafrost division in Qinghai-Tibet Plateau. In this paper selecting Qinghai-Tibet highway as a study area and surface temperature, elevation, equivalent latitude, soil moisture, albedo, normalized difference vegetation index (NDVI) as model factors. According to relativity analysis on MAGT and model factors mentioned above to build a ground temperature retrieval model based on MODIS data. Considering the equivalent latitude in section, the coefficient of determination increased from 0.598 to 0.617 and 0.826, the model stability and prediction is improved. Compared to permafrost map , it is found that the simulated result can effectively describe the distribution features of permafrost along the Qinghai-Tibet highway, only in the middle there are a small number of melting districts. The melting districts are mainly distributed nearby the Tuotuo river, where is a perennial river and has a large flows, appear melting district can be considered reasonable, conform to the actual distribution law of the permafrost. Although there are still some differences in individual areas, it may be improved by increasing sample points.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kun Wang AU - Qigang Jiang PY - 2013/08 DA - 2013/08 TI - Study on permafrost distribution in Qinghai-Tibet Plateau based on MODIS data BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 446 EP - 449 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.109 DO - 10.2991/rsete.2013.109 ID - Wang2013/08 ER -