A Quantitative Inspection on Spatio-Temporal Variation of Remote Sensing-Based Estimates of Land Surface Evapotranspiration in South Asia

Remote Sensing

Ainong Li¹  Wei Zhao¹  Wei Deng²  Zhao-Liang Li²  Jose A. Sobrino²  Xiaoning Song²  George P. Petropoulos² 

[1]Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China

关键词: SEBS;    MODIS;    South Asia;    evapotranspiration;    spatio-temporal analysis;   

DOI  :  10.3390/rs70404726

来源: mdpi

【 摘 要 】

Evapotranspiration (ET) plays a key role in water resource management. It is important to understand the ET spatio-temporal pattern of South Asia for understanding and anticipating serious water resource shortages. In this study, daily ET in 2008 was estimated over South Asia by using MODerate Resolution Imaging Spectroradiometer (MODIS) products combined with field observations and Global Land Data Assimilation System (GLDAS) product through Surface Energy Balance System (SEBS) model. Monthly ET data were calculated based on daily ET and evaluated by the GLDAS ET data. Good agreements were found between two datasets for winter months (October to February) with R² from 0.5 to 0.7. Spatio-temporal analysis of ET was conducted. Ten specific sites with different land cover types at typical climate regions were selected to analyze the ET temporal change pattern, and the result indicated that the semi-arid or arid areas in the northwest had the lowest average daily ET (around 0.3 mm) with a big fluctuation in the monsoon season, while the sites in the Indo-Gangetic Plain and in southern India has bigger daily ET (more than 3 mm) due to a large water supplement. It is suggested that the monsoon climate has a large impact on ET spatio-temporal variation in the whole region.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.