Retrieval of District Evapotranspiration Using Remotely Sensed Biomass Products

被引:0
|
作者
Su, Tao [1 ]
Wang, Peng-Xin [1 ]
机构
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100094, Peoples R China
关键词
evapotranspiration; retrieval; biomass; TM; SEBAL;
D O I
10.1109/ESIAT.2009.456
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An approach of retrieving district evapotranspiration was studied by using remotely sensed biomass products in the Junchuan Farm of the Northeast of China. Based on the crop management practices of the Junchuan Farm, key soil and crop canopy parameters were applied to develop a biomass model for retrieving district evapotranspiration. Using the mass of dry matter on ground, apportionment coefficient and the corresponding experience expressions deduce the computing model of daily evapotranspiration. The surface energy balance algorithm for land (SEBAL) model is a near real time evapotranspiration monitoring approach. This article uses SEBAL as a referenced model to explain the possibility of using the model of biomass to monitor district evapotranspiration. The results show that the spatial distributions of the retrieved results for these two models are similar. These results indicate the model of biomass is a feasible approach for monitoring district evapotranspiration.
引用
收藏
页码:466 / 469
页数:4
相关论文
共 50 条
  • [21] Advances in validation of remotely sensed land surface evapotranspiration
    Zhang Y.
    Jia Z.
    Liu S.
    Xu Z.
    Xu T.
    Yao Y.
    Ma Y.
    Song L.
    Li X.
    Hu X.
    Wang Z.
    Guo Z.
    Zhou J.
    Yaogan Xuebao/Journal of Remote Sensing, 2020, 24 (08): : 975 - 999
  • [22] Evaluation of evapotranspiration in alpine forest catchment using satellite remotely sensed data
    Meroni, M
    Brivio, PA
    Colombo, R
    Ghezzi, P
    Giardino, C
    Gomarasca, MA
    EARTH SURFACE REMOTE SENSING II, 1998, 3496 : 86 - 93
  • [23] CONSTRAINING SWAT CALIBRATION WITH REMOTELY SENSED EVAPOTRANSPIRATION DATA
    Tobin, Kenneth J.
    Bennett, Marvin E.
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2017, 53 (03): : 593 - 604
  • [24] Validation of Remotely Sensed Evapotranspiration Products Using Optical-Microwave Scintillometer Flux Measurements Over the Heterogeneous Surfaces
    Ren, Zhiguo
    Che, Tao
    Xu, Feinan
    Zhang, Yang
    Tan, Junlei
    Wang, Jiemin
    Wang, Weizhen
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 18 : 5687 - 5703
  • [25] Content based retrieval for remotely sensed images
    Bruzzo, M
    Giordano, F
    Pagani, L
    Dellepiane, S
    Bo, G
    SENSORS, SYSTEMS AND NEXT-GENERATION SATELLITES V, 2001, 4540 : 557 - 564
  • [26] Mapping Forest Aboveground Biomass Using Multisource Remotely Sensed Data
    Ehlers, Dekker
    Wang, Chao
    Coulston, John
    Zhang, Yulong
    Pavelsky, Tamlin
    Frankenberg, Elizabeth
    Woodcock, Curtis
    Song, Conghe
    REMOTE SENSING, 2022, 14 (05)
  • [27] Estimation of regional water-saving potential using remotely sensed evapotranspiration data
    Peng, Zhigong
    Zhang, Baozhong
    Liu, Yu
    Sheng, Zhuping
    DESALINATION AND WATER TREATMENT, 2019, 149 : 295 - 304
  • [28] Evaluation of remotely sensed evapotranspiration products in a large scale Australian arid region: Cooper Creek, Queensland
    Mohammadi, A.
    Costelloe, J. F.
    Ryu, D.
    21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015), 2015, : 2346 - 2352
  • [29] Improved Daily Evapotranspiration Estimation Using Remotely Sensed Data in a Data Fusion System
    Yang, Yun
    Anderson, Martha
    Gao, Feng
    Xue, Jie
    Knipper, Kyle
    Hain, Christopher
    REMOTE SENSING, 2022, 14 (08)
  • [30] Improving Runoff Prediction Using Remotely Sensed Actual Evapotranspiration during Rainless Periods
    Gui, Ziling
    Liu, Pan
    Cheng, Lei
    Guo, Shenglian
    Wang, Hao
    Zhang, Liping
    JOURNAL OF HYDROLOGIC ENGINEERING, 2019, 24 (12)