Evaluation of vegetation and evapotranspiration changes in Iran using satellite data and ground measurements

被引:11
|
作者
Pourmansouri, Fatemeh [1 ]
Rahimzadegan, Majid [1 ]
机构
[1] KN Toosi Univ Technol, Fac Civil Engn, Water Resources Dept, Tehran, Iran
关键词
evapotranspiration; leaf area index; uncertainty; multisource; vegetation greenness; LEAF-AREA INDEX; REFERENCE CROP EVAPOTRANSPIRATION; TERRESTRIAL ECOSYSTEMS; WATER-BALANCE; MODIS; PRODUCTS; TREND; SENSITIVITY; MODELS; EVAPORATION;
D O I
10.1117/1.JRS.14.034530
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) is a critical component of the water cycle on a global scale. Changes in leaf area index (LAI) influence ET changes. Satellite products are among the effective methods of estimating ET and LAI at local, regional, and global scales. Therefore, the purpose of our study was to evaluate three global remote sensing products of ETand two products of LAI and investigate their simultaneous changes in Iran over the 2000 to 2015 period. Selected ET products include Global Land Evaporation Amsterdam Model (GLEAM), Global Land Data Assimilation System (GLDAS2.0), and Moderate Resolution Imaging Spectroradiometer ET (MODIS ET) products. LAI products include MODIS LAI and Global Land Surface Satellite (GLASS) LAI products. Validation using the 23 selected evaporation stations showed that among the three ET products MODIS has the best performance. Three ET products consistently show an increasing trend in annual ET over a large part of Iran. The mean annual trend values obtained from GLEAM3.0a, GLDAS, and MODIS ET products are 2.022, 1.359, and 0.429 mm/year, respectively. Among LAI products, GLASS had the highest correlation with the selected ET product (0.78). On average, the trend of intra-annual changes of LAI across Iran did not show a significant increasing or decreasing trend. Moreover, in areas where no significant change was observed in LAI, ET changes were unpredictable and depended on other factors. Overall, the results showed a relatively strong correlation between the selected ET and vegetation satellite products in the study area. (C) 2020 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:21
相关论文
共 50 条
  • [31] Extremes of ground-based and satellite measurements in the vegetation period for the Carpathian Basin
    Bartholy, J
    Pongracz, R
    PHYSICS AND CHEMISTRY OF THE EARTH, 2005, 30 (1-3) : 81 - 89
  • [32] Monitoring land cover changes in Isfahan Province, Iran using Landsat satellite data
    Alireza Soffianian
    Maliheh Madanian
    Environmental Monitoring and Assessment, 2015, 187
  • [33] Monitoring land cover changes in Isfahan Province, Iran using Landsat satellite data
    Soffianian, Alireza
    Madanian, Maliheh
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (08)
  • [34] Evaluation of Vegetation as a Habitat Factor in Hunting Ground Based on Satellite Images
    Kovacevic, Milutin
    Markovic, Vladimir
    Ponjiger, Igor
    Ristic, Zoran
    Matejevic, Milosava
    Stojsavljevic, Rastislav
    Stamenkovic, Igor
    ROCZNIK OCHRONA SRODOWISKA, 2019, 21 (01): : 85 - 97
  • [35] Assessment of the Potential Evapotranspiration MODIS Product Using Ground Measurements in the Pampas
    Florencia Degano, M.
    Rivas, Raul E.
    Sanchez, Juan M.
    Carmona, Facundo
    Niclos, Raquel
    2018 IEEE BIENNIAL CONGRESS OF ARGENTINA (ARGENCON), 2018,
  • [36] Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index
    Reyes-Gonzalez, Arturo
    Kjaersgaard, Jeppe
    Trooien, Todd
    Hay, Christopher
    Ahiablame, Laurent
    ADVANCES IN METEOROLOGY, 2018, 2018
  • [37] A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm
    Chao, Lijun
    Zhang, Ke
    Wang, Jingfeng
    Feng, Jin
    Zhang, Mengjie
    REMOTE SENSING, 2021, 13 (12)
  • [38] MICROMETEORITE MEASUREMENTS - SATELLITE AND GROUND-LEVEL DATA COMPARED
    CROZIER, WD
    JOURNAL OF GEOPHYSICAL RESEARCH, 1961, 66 (09): : 2793 - +
  • [39] Vegetation water inversion using MODIS satellite data
    Song, Xiaoning
    Liu Qinhuo
    Huang, Shifeng
    Li Xiaotao
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 1865 - +
  • [40] Study of Wetland Ecosystem Vegetation Using Satellite Data
    E. A. Dyukarev
    M. N. Alekseeva
    E. A. Golovatskaya
    Izvestiya, Atmospheric and Oceanic Physics, 2017, 53 : 1029 - 1041