A hybrid calibration method for improving hydrological systems using ground-based and remotely-sensed observations

被引:0
|
作者
Department of Water Engineering, Faculty of Agriculture, Shahrood University of Technology, Shahrood, Iran [1 ]
不详 [2 ]
机构
来源
J. Hydrol. | 2022年
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Calibration
引用
收藏
相关论文
共 50 条
  • [1] A hybrid calibration method for improving hydrological systems using ground-based and remotely-sensed observations
    Moazenzadeh, Roozbeh
    Izady, Azizallah
    [J]. JOURNAL OF HYDROLOGY, 2022, 615
  • [2] Pixel allocation using remotely-sensed data and ground data
    Hojsgaard, S
    Caccetta, P
    Kiiveri, H
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (02) : 417 - 433
  • [3] USE OF GROUND-BASED REMOTELY-SENSED DATA FOR SURFACE-ENERGY BALANCE EVALUATION OF A SEMIARID RANGELAND
    MORAN, MS
    KUSTAS, WP
    VIDAL, A
    STANNARD, DI
    BLANFORD, JH
    NICHOLS, WD
    [J]. WATER RESOURCES RESEARCH, 1994, 30 (05) : 1339 - 1349
  • [4] Comparative Analysis of Satellite Remotely-Sensed Surface Energy Flux and Ground-Based Observation in the Sichuan Basin
    Min, Wenbin
    Li, Yueqing
    Xu, Xiangde
    Zhao, Xingbing
    [J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2012, 90C : 203 - 213
  • [5] Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations
    Albergel, Clement
    de Rosnay, Patricia
    Gruhier, Claire
    Munoz-Sabater, Joaquin
    Hasenauer, Stefan
    Isaksen, Lars
    Kerr, Yann
    Wagner, Wolfgang
    [J]. REMOTE SENSING OF ENVIRONMENT, 2012, 118 : 215 - 226
  • [6] Forecasting Spatially Distributed Cotton Evapotranspiration by Assimilating Remotely Sensed and Ground-Based Observations
    French, A. N.
    Hunsaker, D. J.
    Clarke, T. R.
    [J]. JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2012, 138 (11) : 984 - 992
  • [7] Improvements in irrigation system modelling when using remotely-sensed ET for calibration
    van Opstal, J. D.
    Neale, C. M. U.
    Lecina, S.
    [J]. REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVI, 2014, 9239
  • [8] Exploring ground-based methods for the validation of remotely sensed evapotranspiration
    Finca, Andiswa
    Palmer, Anthony R.
    Kakembo, Vincent
    [J]. AFRICAN JOURNAL OF RANGE & FORAGE SCIENCE, 2015, 32 (01) : 41 - 50
  • [9] Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth
    Lu, Haishen
    Crow, Wade T.
    Zhu, Yonghua
    Ouyang, Fen
    Su, Jianbin
    [J]. REMOTE SENSING, 2016, 8 (06)
  • [10] Improving the identifiability of hydrological model parameters through remotely sensed data and sequential calibration
    Casado-Rodriguez, Jesus
    del Jesus, Manuel
    Navas, Salvador
    [J]. PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS, 2022, : 3642 - 3646