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A MACHINE LEARNING METHOD TO CORRECT THE TERRAIN EFFECT ON LAND SURFACE TEMPERATURE IN MOUNTAINOUS AREAS
Language英语
Wei Zhao1; Fengping Wen1,2; Ainong Li1
2018
Source PublicationIEEE International Symposium on Geoscience and Remote Sensing IGARSS
Author of SourceIEEE
Pages2539-2542
meeting38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference Date2018
Conference PlaceValencia, SPAIN
CountrySPAIN
Contribution Rank1
AbstractIn mountainous areas, land surface temperature (LST) shows significant terrain effect, which can be directly reflected by the spatial distribution associated with the change of topographic factors (elevation, slope, and aspect). By the way, the terrain effect diminishes the impacts from the differences in surface water and heat fluxes, and influences their comparison or estimation over complex terrain. In this study, a practical way to reduce the terrain effect is proposed based on the random forest method with datasets from MODIS products, which is used to build a LST prediction model instead of the previous model developed based on some numerical model or empirical method. The results indicates that the constructed LST model shows a good performance in predicting LST with the R-2 of 0.93 and the RMSE lower than 2.0 K for four selected days. Corrected LST maps are compared with the original LST map, which presents a preliminary correction results with an obvious correction on pixels with significant terrain effect.
KeywordLand surface temperature terrain effect random forest MODIS
ISBN978-1-5386-7150-4
ISSN2153-6996
Indexed ByCPCI
WOS IDWOS:000451039802163
Citation statistics
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/24498
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorWei Zhao
Affiliation1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China;
2.University of Chinese Academy of Sciences, Beijing, 10049, China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Wei Zhao,Fengping Wen,Ainong Li. A MACHINE LEARNING METHOD TO CORRECT THE TERRAIN EFFECT ON LAND SURFACE TEMPERATURE IN MOUNTAINOUS AREAS[C]//IEEE,2018:2539-2542.
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