SURFACE SOIL MOISTURE RELATIONSHIP MODEL CONSTRUCTION BASED ON RANDOM FOREST METHOD
文献类型:会议论文
作者 | Zhao Wei2![]() ![]() ![]() |
出版日期 | 2017 |
会议日期 | JUL 23-28, 2017 |
会议地点 | Fort Worth |
关键词 | surface soil moisture random forest AMSR-E MODIS relationship model |
页码 | 2019-2022 |
国家 | TX |
英文摘要 | Aiming to solve the limitation of coarse spatial resolution of passive microwave soil moisture product, a soil moisture relationship model based on random forest method was constructed with land surface temperature (LST), normalized difference vegetation index (NDVI), and surface albedo (ALB) from MODIS products and surface soil moisture (SSM) from AMSR-E soil moisture product in the study area at the east edge of the Tibetan Plateau. The results show better performance of the proposed compared with the commonly used purely-empirical method, with the R-2 values above 0.88 and the RMSE values lower than 0.05m(3)/m(3), respectively. It suggested that the proposed soil moisture relationship is able to capture the spatio-temporal variation of surface moisture well. There should be great potential to improve the downscaling soil moisture accuracy when the model is used in the passive microwave soil moisture downscaling scheme. |
产权排序 | 1 |
会议录 | 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISSN号 | 2153-6996 |
ISBN号 | 978-1-5090-4951-6 |
WOS记录号 | WOS:000426954602034 |
源URL | [http://ir.imde.ac.cn/handle/131551/35218] ![]() |
专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
通讯作者 | Li Ainong |
作者单位 | 1.Geosciences College, Chengdu University of Technology, Chengdu, China; 2.Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China; 3.Faculty of Geosciences and Environmental Engineering, Chengdu, China 4.University of Chinese Academy of Sciences, Beijing, China; |
推荐引用方式 GB/T 7714 | Zhao Wei,Li Ainong,Huang Pan,et al. SURFACE SOIL MOISTURE RELATIONSHIP MODEL CONSTRUCTION BASED ON RANDOM FOREST METHOD[C]. 见:. Fort Worth. JUL 23-28, 2017. |
入库方式: OAI收割
来源:成都山地灾害与环境研究所
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