Applications of a Thermal-Based Two-Source Energy Balance Model Coupling the Sun-Induced Chlorophyll Fluorescence Data

被引:2
|
作者
Song, Lisheng [1 ]
Ding, Zhonghao [2 ]
Kustas, William P. [3 ]
Hua, Wei [2 ]
Liu, Xinjie [4 ]
Liu, Liangyun [4 ]
Liu, Shaomin [5 ]
Ma, Mingguo [2 ]
Bai, Yan [6 ]
Xu, Ziwei [5 ]
机构
[1] Anhui Normal Univ, Engn Technol Res Ctr Resources Environm & GIS, Sch Geog & Tourism, Wuhu 241008, Anhui, Peoples R China
[2] Southwest Univ, Sch Geog Sci, Chongqing Jinfo Mt Karst Ecosyst Natl Observat & R, Chongqing 400715, Peoples R China
[3] USDA ARS, Hydrol & Remote Sensing Lab, ARS, USDA, Beltsville, MD 21738 USA
[4] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[5] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[6] Landzhou Univ, Coll Atmospher Sci, Landzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
Sun-induced chlorophyll fluorescence (SIF); two-source energy balance model (TSEB); water use efficiency (WUE); STOMATAL CONDUCTANCE SCHEME; PRIESTLEY-TAYLOR APPROACH; PARTITIONING EVAPOTRANSPIRATION; TRANSPIRATION; EVAPORATION; SOIL; SCALES;
D O I
10.1109/LGRS.2023.3240996
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Quantifying and monitoring land surface evapotranspiration (ET) is an essential task for understanding the earth's water, energy, and carbon cycles. ET, specifically plant transpiration ( T ), is closely linked to the photosynthesis, which is coupled through stomatal function. However, the mechanistic links between sun-induced chlorophyll fluorescence (SIF) information indicating canopy photosynthetic activity and $T$ are complex and difficult to derive empirically. An empirical SIF- $T$ relationship at ecosystem scale was developed and coupled to the two-source energy balance model (TSEB-SIF) to estimate the ET and its components, $T$ and soil evaporation, E . By comparing model predictions with observations from an irrigated cropland site located in a semiarid region, the TSEB-SIF model shows a slightly better performance to the TSEB model in estimating ET, especially under water deficit conditions. Moreover, the TSEB-SIF model more reliably partitioned the $T$ from ET, while the TSEB model tended to overestimate the contribution of T to ET.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] New algorithms for MODIS sun-induced chlorophyll fluorescence and a comparison with present data products
    Huot, Y
    Brown, CA
    Cullen, JJ
    LIMNOLOGY AND OCEANOGRAPHY-METHODS, 2005, 3 : 108 - 130
  • [22] Constraining water limitation of photosynthesis in a crop growth model with sun-induced chlorophyll fluorescence
    De Canniere, S.
    Herbst, M.
    Vereecken, H.
    Defourny, P.
    Jonard, F.
    REMOTE SENSING OF ENVIRONMENT, 2021, 267
  • [23] Model of the dependence of the sun-induced chlorophyll a fluorescence quantum yield on the environmental factors in the sea
    Ostrowska, Miroslawa
    OPTICS EXPRESS, 2012, 20 (21): : 23300 - 23317
  • [24] Comparison of Sun-Induced Chlorophyll Fluorescence and Reflectance Data on Estimating Severity of Wheat Stripe Rust
    Zhao Ye
    Jing Xia
    Huang Wen-jiang
    Dong Ying-ying
    Li Cun-jun
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39 (09) : 2739 - 2745
  • [25] Retrieval of Sun-Induced Chlorophyll Fluorescence Using Statistical Method Without Synchronous Irradiance Data
    Zhang, Lifu
    Wang, Siheng
    Huang, Changping
    Cen, Yi
    Zhai, Yongguang
    Tong, Qingxi
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 14 (03) : 384 - 388
  • [26] Modeling Transpiration with Sun-Induced Chlorophyll Fluorescence Observations via Carbon-Water Coupling Methods
    Feng, Huaize
    Xu, Tongren
    Liu, Liangyun
    Zhou, Sha
    Zhao, Jingxue
    Liu, Shaomin
    Xu, Ziwei
    Mao, Kebiao
    He, Xinlei
    Zhu, Zhongli
    Chai, Linna
    REMOTE SENSING, 2021, 13 (04) : 1 - 13
  • [27] Assessing evapotranspiration in a lettuce crop with a two-source energy balance model
    Ramesh Dhungel
    Ray G. Anderson
    Andrew N. French
    Mazin Saber
    Charles A. Sanchez
    Elia Scudiero
    Irrigation Science, 2023, 41 : 183 - 196
  • [28] Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion
    Celesti, Marco
    van der Tol, Christiaan
    Cogliati, Sergio
    Panigada, Cinzia
    Yang, Peiqi
    Pinto, Francisco
    Rascher, Uwe
    Miglietta, Franco
    Colombo, Roberto
    Rossini, Micol
    REMOTE SENSING OF ENVIRONMENT, 2018, 215 : 97 - 108
  • [29] Assessing evapotranspiration in a lettuce crop with a two-source energy balance model
    Dhungel, Ramesh
    Anderson, Ray G.
    French, Andrew N.
    Saber, Mazin
    Sanchez, Charles A.
    Scudiero, Elia
    IRRIGATION SCIENCE, 2023, 41 (02) : 183 - 196
  • [30] Soil moisture retrieval by a novel hybrid model based on CYGNSS and Sun-induced fluorescence data
    Li, Yan
    Yan, Songhua
    Gong, Jianya
    Xiao, Jingfeng
    Asgarimehr, Milad
    Wickert, Jens
    JOURNAL OF HYDROLOGY, 2024, 632