GLOBAL DAILY 500-M EVAPOTRANSPIRATION ESTIMATION OVER VEGETATED AREAS USING RNADOM FOREST FROM MODIS DATA
文献类型: 会议论文
第一作者: Zhong Peng
作者: Zhong Peng 1 ; Ronglin Tang 1 ; Yazhen Jiang 1 ; Meng Liu 2 ;
作者机构: 1.State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
2.Key Laboratory of Agri-informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences
关键词: Evapotranspiration;Random forest;MODIS
会议名称: IEEE International Geoscience and Remote Sensing Symposium
主办单位:
页码: 3733-3736
摘要: Evapotranspiration (ET) is an important variable in hydrological cycle and widely used in the study of water management and climate change. This paper developed a Random Forest (RF) model for global daily ET estimation over vegetated areas with 500 m spatial resolution using merely MODIS data. 255 in-situ sites from AmeriFlux network, FLUXNET Network and National Tibetan Plateau Data Center (TPDC) of China have been used to evaluate the RF model. Results indicated that the RF model-estimated global daily ET exhibited reasonable accuracy compared to the in-situ observations using MODIS datasets as inputs, with root mean square error (RMSE) between 0.52-0.97 mm/d over six different land-cover types representing forest, shrubland, cropland, savanna, grassland and wetland. The models generally achieved the best performance in shrubland, grassland and savanna, while provided the worst in wetland.
分类号: tp7-53
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