Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data

被引:16
|
作者
Fuentes-Penailillo, Fernando [1 ,2 ]
Ortega-Farias, Samuel [1 ,2 ]
Acevedo-Opazo, Cesar [1 ,2 ]
Fonseca-Luengo, David [3 ]
机构
[1] Univ Talca, CITRA, Casilla 747, Talca 3460000, Chile
[2] Univ Talca, Res Program Adaptat Agr Climate Change A2C2, Casilla 747, Talca 3460000, Chile
[3] Univ Catolica Temuco, Fac Nat Resources, Temuco 4780000, Chile
关键词
crop water requirements; latent heat flux; remote sensing; olive orchard; spatial variability; SHUTTLEWORTH-WALLACE MODEL; LATENT-HEAT FLUX; ENERGY-BALANCE; MAPPING EVAPOTRANSPIRATION; WATER REQUIREMENTS; DEFICIT IRRIGATION; CROP COEFFICIENTS; NET-RADIATION; SENSIBLE HEAT; DUAL APPROACH;
D O I
10.3390/w10030339
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A study was carried out to evaluate the potential use of the two-source Shuttleworth and Wallace (SW) model to compute the intra-orchard spatial variability of actual evapotranspiration (ET) of olive trees using satellite images and ground-based climate data. The study was conducted in a drip-irrigated olive orchard using satellite images (Landsat 7 ETM+), which were acquired on clear sky days during the main phenological stages (2009/10 growing season). The performance of the SW model was evaluated using instantaneous latent heat flux (LE) measurements that were obtained from an eddy correlation system. At the time of satellite overpass, the estimated values of net radiation (Rn-i) and soil heat flux (G(i)) were compared with ground measurements from a four-way net radiometer and soil heat flux plates, respectively. The results indicated that the SW model subestimated instantaneous LE (W m(-2)) and daily ET (mm d(-1)), with errors of 12% and 10% of observed values, respectively. The root mean square error (RMSE) and mean absolute error (MAE) values for instantaneous LE were 26 and 20 W m(-2), while those for daily values of ET were 0.31 and 0.28 mm d(-1), respectively. Finally, the submodels computed Rni and Gi with errors of between 4.0% and 8.0% of measured values and with RMSE and MAE between 25 and 39W m(-2).
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页数:18
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共 42 条
  • [1] Estimating Evapotranspiration from an Improved Two-Source Energy Balance Model Using ASTER Satellite Imagery
    Zhuang, Qifeng
    Wu, Bingfang
    [J]. WATER, 2015, 7 (12) : 6673 - 6688
  • [2] Assessing the Spatial Variability of Alfalfa Yield Using Satellite Imagery and Ground-Based Data
    Kayad, Ahmed G.
    Al-Gaadi, Khalid A.
    Tola, ElKamil
    Madugundu, Rangaswamy
    Zeyada, Ahmed M.
    Kalaitzidis, Chariton
    [J]. PLOS ONE, 2016, 11 (06):
  • [3] Evaluating the Two-Source Energy Balance Model Using MODIS Data for Estimating Evapotranspiration Time Series on a Regional Scale
    Bozorgi, Mahsa
    Cristóbal, Jordi
    Pàmies-Sans, Magí
    [J]. Remote Sensing, 2024, 16 (23)
  • [4] Estimating Evapotranspiration from an Improved Two-Source Energy Balance Model Using ASTER Satellite Imagery (vol 7, pg 6673, 2015)
    Zhuang, Qifeng
    Wu, Bingfang
    [J]. WATER, 2016, 8 (03)
  • [5] Estimating corn nitrogen status using ground-based and satellite multispectral data
    Bausch, WC
    Diker, K
    Khosla, R
    Paris, JF
    [J]. REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY, 2004, 5544 : 489 - 498
  • [6] Effects of topography on the spatial distribution of evapotranspiration over a complex terrain using two-source energy balance model with ASTER data
    Kafle, H. K.
    Yamaguchi, Y.
    [J]. HYDROLOGICAL PROCESSES, 2009, 23 (16) : 2295 - 2306
  • [7] Assessment of the modified two-source energy balance (TSEB) model for estimating evapotranspiration and its components over an irrigated olive orchard in Morocco
    Sara, Ourrai
    Bouchra, Aithssaine
    Abdelhakim, Amazirh
    Salah, Er-RAK, I
    Lhoussaine, Bouchaou
    Frederic, Jacob
    Abdelghani, Chehbouni
    [J]. AGRICULTURAL WATER MANAGEMENT, 2024, 298
  • [8] An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data
    Tang, Ronglin
    Li, Zhao-Liang
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (10): : 5818 - 5832
  • [9] Estimating the regional evapotranspiration in Zhalong wetland with the Two-Source Energy Balance (TSEB) model and Landsat7/ETM+ images
    Yao, Wei
    Han, Min
    Xu, Shiguo
    [J]. ECOLOGICAL INFORMATICS, 2010, 5 (05) : 348 - 358
  • [10] A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data
    Amani, Shima
    Shafizadeh-Moghadam, Hossein
    [J]. AGRICULTURAL WATER MANAGEMENT, 2023, 284