Knowledge Management System Of Guangzhou Institute of Geochemistry，CAS
| Monitoring Potential Agricultural Cold Disaster Area by Multi-factors Correctional ASTER LST A case study in the Shanwei, Southern China | |
| Wang JF; Cheni SS; Wang CL; Boa ST; Fang LG | |
| Source Publication | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
| 2006-07-31 | |
| Conference Date | 2006-7-31 |
| Conference Place | Denver, CO |
| Indexed By | SCI |
| Language | 英语 |
| Abstract | Much more importance is attached to the application of remote sensing technology in such as on disaster monitoring and fast disaster loss evaluation, which can improve the ability of disaster prevention, resistance and reduction. Temperature is one of the most important environment factors that influence the crop growth. In winter, the economic damage of the cash crops is often caused by the cold disaster. The objective of this study is to model the potential spatial distribution of cold disaster by temperature retrieved by ASTER. data and corrects it with the terrain factors. Based on the characters of subtropical climate, topography, vegetation and the ASTER data in Shanwei region, we find out the Thermal IR-emissivity model can separate the surface radiance into temperature and emissivity. Using this method, the spatial distribution map of land surface temperature (LST) is obtained by calculating the clear-sky day-time LST of ASTER data in Shanwei. The calculation result is matched with established DEM from 1:250000 topographic data and has also been validated by the data of ground synchronized observation. Analytical results indicate that the spatial LST distribution map made by the ASTER satellite remote sensing in this research is coherence with the terrain and data of ground observation in a good precision for showing the potential spatial distribution of cold disaster degree of cash crops in winter season, Southern China, such as litchi. ASTER data produced LST is a more effective factor of temperature regionalization in spatial planning than ones from the limited meteorological observation stations at present and has a better precision. |
| Document Type | 会议论文 |
| Identifier | http://ir.gig.ac.cn/handle/344008/9422 |
| Collection | 中科院广州地化所(-2008) |
| Recommended Citation GB/T 7714 | Wang JF,Cheni SS,Wang CL,et al. Monitoring Potential Agricultural Cold Disaster Area by Multi-factors Correctional ASTER LST A case study in the Shanwei, Southern China[C],2006. |
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