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

被引:13
|
作者
Li, Ainong [1 ]
Zhao, Wei [1 ]
Deng, Wei [1 ]
机构
[1] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
关键词
DAILY NET-RADIATION; ENERGY BALANCE SYSTEM; WATER-RESOURCES; TIBETAN PLATEAU; AIR-TEMPERATURE; RIVER-BASINS; SENSED DATA; SEBS MODEL; FLUXES; AREA;
D O I
10.3390/rs70404726
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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 R-2 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.
引用
收藏
页码:4726 / 4752
页数:27
相关论文
共 50 条
  • [1] Spatio-Temporal Assessment of Surface Moisture and Evapotranspiration Variability Using Remote Sensing Techniques
    Le, Mai Son
    Liou, Yuei-An
    REMOTE SENSING, 2021, 13 (09)
  • [2] Remote sensing-based spatio-temporal modeling to predict biomass in Sahelian grazing ecosystem
    Bénié, GB
    Kaboré, SS
    Goïta, K
    Courel, MF
    ECOLOGICAL MODELLING, 2005, 184 (2-4) : 341 - 354
  • [3] Land use information extraction and spatio-temporal variation analysis of Poyang Lake Basin based on remote sensing
    Liu, Hai
    Xia, Huiqiong
    Zhou, Bo
    MIPPR 2013: REMOTE SENSING IMAGE PROCESSING, GEOGRAPHIC INFORMATION SYSTEMS, AND OTHER APPLICATIONS, 2013, 8921
  • [4] CROP EVAPOTRANSPIRATION ESTIMATES FOR SUGARCANE BASED ON REMOTE SENSING AND LAND SURFACE MODEL IN THAILAND
    Das, Kamal
    Khiripet, Noppadon
    Chattanrassamee, Panyawat
    Kijkullert, Chalerm
    Veerachit, Vorraveerukorn
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 5175 - 5178
  • [6] Remote Sensing-Based Biomass Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China
    Jin, Yunxiang
    Yang, Xiuchun
    Qiu, Jianjun
    Li, Jinya
    Gao, Tian
    Wu, Qiong
    Zhao, Fen
    Ma, Hailong
    Yu, Haida
    Xu, Bin
    REMOTE SENSING, 2014, 6 (02): : 1496 - 1513
  • [7] Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia
    Esubalew Nebebe Mekonnen
    Ephrem Gebremariam
    Aramde Fetene
    Shimeles Damene
    Applied Geomatics, 2024, 16 : 365 - 385
  • [8] Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia
    Mekonnen, Esubalew Nebebe
    Gebremariam, Ephrem
    Fetene, Aramde
    Damene, Shimeles
    APPLIED GEOMATICS, 2024, 16 (02) : 365 - 385
  • [9] Temporal and Spatial Variation of Surface Evapotranspiration Based on Remote Sensing in Golmud Region,China
    Huo, Ai-Di
    Li, Jian-Guo
    Jiang, Guang-Zhi
    Yang, Yun
    APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (02): : 519 - 524
  • [10] Predicting Land Surface Temperature and Land Cover Changes Based on Multisource Remote Sensing Spatio-Temporal Fusion in Hefei, Eastern China
    Sun, Min
    Qiu, Jie
    Wang, Nan
    Ye, Junhong
    Li, Mingshi
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 8764 - 8781