Evapotranspiration estimation in the Yellow River Basin, China using integrated NDVI data

被引：19
|
作者：
Sun, R [1 ]
Gao, X
Liu, CM
Li, XW
机构：
[1] Beijing Normal Univ, Dept Geog, Ctr Remote Sensing & GIS Res, Beijing 100875, Peoples R China
[2] Ctr Ocean Land Atmosphere Studies, Beltsville, MD 20705 USA
[3] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2004年 / 25卷 / 13期
关键词：
D O I：
10.1080/0143116032000160471
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
It is important to estimate land surface evapotranspiration ( ET) for water resources evaluation, drought monitoring and crop production simulation. In this paper, a relationship between annual ET, integrated Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) and Relative Moisture Index (RMI) was established. Based on this relationship, the spatial distribution and dynamic change of annual ET were estimated for the Yellow River Basin, China from 1982 to 2000. Our analyses involved the use of integrated NDVI data, monthly mean air temperature, and precipitation. Our results showed that the integrated AVHRR NDVI can be used to effectively estimate annual ET in the Yellow River Basin, with an accuracy over 90% for the whole basin.
引用
收藏
页码：2523 / 2534
页数：12
相关论文
共 50 条
  • [1] Estimation of daily evapotranspiration in the Yellow River Basin by using MODIS data
    Yang, SQ
    Sun, R
    Mao, DF
    Zhang, XH
    Cu, HY
    [J]. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 1343 - 1345
  • [2] Quantitative estimation of the impact of climate change on actual evapotranspiration in the Yellow River Basin, China
    Liu, Qiang
    Yang, Zhifeng
    [J]. JOURNAL OF HYDROLOGY, 2010, 395 (3-4) : 226 - 234
  • [3] Estimation of Potential Evapotranspiration in the Yellow River Basin Using Machine Learning Models
    Liu, Jie
    Yu, Kunxia
    Li, Peng
    Jia, Lu
    Zhang, Xiaoming
    Yang, Zhi
    Zhao, Yang
    [J]. ATMOSPHERE, 2022, 13 (09)
  • [4] Comparison of evapotranspiration variations between the Yellow River and Pearl River basin, China
    Qiang Zhang
    Chong-Yu Xu
    Yongqin David Chen
    Liliang Ren
    [J]. Stochastic Environmental Research and Risk Assessment, 2011, 25 : 139 - 150
  • [5] Comparison of evapotranspiration variations between the Yellow River and Pearl River basin, China
    Zhang, Qiang
    Xu, Chong-Yu
    Chen, Yongqin David
    Ren, Liliang
    [J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2011, 25 (02) : 139 - 150
  • [6] Evaluation of different evapotranspiration products in the middle Yellow River Basin, China
    Li, Yanzhong
    Liang, Kang
    Liu, Changming
    Liu, Wenbin
    Bai, Peng
    [J]. HYDROLOGY RESEARCH, 2017, 48 (02): : 498 - 513
  • [7] Water Conservation Estimation Based on Time Series NDVI in the Yellow River Basin
    Zhang, Yangchengsi
    Du, Jiaqiang
    Guo, Long
    Sheng, Zhilu
    Wu, Jinhua
    Zhang, Jing
    [J]. REMOTE SENSING, 2021, 13 (06)
  • [8] Potential evapotranspiration estimation in the upper Huaihe River basin, China
    Xu, Xianghong
    Yu, Meixiu
    Lu, Jinli
    Liu, Xiaolong
    [J]. 12TH INTERNATIONAL CONFERENCE ON HYDROINFORMATICS (HIC 2016) - SMART WATER FOR THE FUTURE, 2016, 154 : 1018 - 1025
  • [9] Effect of landscape restoration on evapotranspiration and water use in the Yellow River Basin, China
    Jian, Shengqi
    Wang, Aoxue
    Hu, Caihong
    Yan, Denghua
    [J]. ACTA GEOPHYSICA, 2024, 72 (01) : 341 - 356
  • [10] Effect of landscape restoration on evapotranspiration and water use in the Yellow River Basin, China
    Shengqi Jian
    Aoxue Wang
    Caihong Hu
    Denghua Yan
    [J]. Acta Geophysica, 2024, 72 : 341 - 356
12345