Assessment of Land Surface Diversions from water balance and remote sensing data

被引:0
|
作者
Edraki, Masoud [1 ]
Hafeez, Mohsin [2 ]
Sixsmith, Josh [2 ]
Rabbani, Umair [2 ]
Chemin, Yann [3 ]
机构
[1] Bur Meteorol, GPO Box 2334, Canberra, ACT 2601, Australia
[2] Charles Sturt Univ, Int Ctr Water Food Secur IC Water, Wagga Wagga, NSW 2678, Australia
[3] IWMI, Pelawatte, Sri Lanka
关键词
Land Surface Diversion; water balance; Murray Darling Basin; evapotranspiration; remote sensing;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the northern catchments of the Murray Darling Basin of Australia, a significant proportion of total water diversions are from interception of flood water and overland flow during sporadic storm events. These diversions (known as Land Surface Diversions or LSD) prevent runoff from entering natural watercourses or into the flood plain. Due to adverse consequences of prolonged drought in the Murray Darling Basin, the authorities have imposed a "Cap" on all forms of land surface diversions in the basin. A project was established in 2008 to compute LSD of six pilot farms to develop a farm water balance model and compute the LSD using a Remote Sensing (RS) technique coupled with on-ground hydrologic parameters which were collected through a concurrent monitoring project, which also gave an independent assessment of LSD in order to validate the LSD by the remote sensing project. This paper reports on the results of LSD estimations for summer and winter crops in the pilot farms during 2007 and 2009 cropping seasons.
引用
收藏
页码:681 / +
页数:2
相关论文
共 50 条
  • [41] From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data
    Martinez, Susana
    Mollicone, Danilo
    REMOTE SENSING, 2012, 4 (04) : 1024 - 1045
  • [42] From land cover to land use: A methodology to assess land use from remote sensing data
    IBADER, GI-1934 TB Department of Botany, University of Santiago de Compostela , E-27002 Lugo, Spain
    不详
    Remote Sens., 4 (1024-1045):
  • [43] Rivne City Land Cover and Land Surface Temperature Analysis Using Remote Sensing Data
    Shumilo, Leonid
    Yailymov, Bohdan
    Kussul, Nataliia
    Lavreniuk, Mykola
    Shelestov, Andrii
    Korsunska, Yuliia
    2019 IEEE 39TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO), 2019, : 813 - 816
  • [44] Annual assessment on the relationship between land surface temperature and six remote sensing indices using landsat data from 1988 to 2019
    Guha, Subhanil
    Govil, Himanshu
    GEOCARTO INTERNATIONAL, 2022, 37 (15) : 4292 - 4311
  • [45] Mapping land water and energy balance relations through conditional sampling of remote sensing estimates of atmospheric forcing and surface states
    Farhadi, Leila
    Entekhabi, Dara
    Salvucci, Guido
    WATER RESOURCES RESEARCH, 2016, 52 (04) : 2737 - 2752
  • [46] Land surface remote sensing and geographical information systems for water quality modeling
    Mattikalli, NM
    Engman, ET
    IGARSS '96 - 1996 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM: REMOTE SENSING FOR A SUSTAINABLE FUTURE, VOLS I - IV, 1996, : 2237 - 2239
  • [47] Ecological environment quality assessment based on remote sensing data for land consolidation
    Shan, Wei
    Jin, Xiaobin
    Ren, Jie
    Wang, Yongcai
    Xu, Zhigang
    Fan, Yeting
    Gu, Zhengming
    Hong, Changqiao
    Lin, Jinhuang
    Zhou, Yinkang
    JOURNAL OF CLEANER PRODUCTION, 2019, 239
  • [48] Deep Interpolation of Remote Sensing Land Surface Temperature Data with Partial Convolutions
    Huber, Florian
    Schulz, Stefan
    Steinhage, Volker
    SENSORS, 2024, 24 (05)
  • [49] Investigating the land surface albedo trend in Iran using remote sensing data
    Ali Reza Karbalaee
    Zahra Hedjazizadeh
    Seyed Abolfazl Masoodian
    Mohammad Sadegh Keikhosravi-Kiany
    Theoretical and Applied Climatology, 2022, 150 : 389 - 403
  • [50] Investigating the land surface albedo trend in Iran using remote sensing data
    Karbalaee, Ali Reza
    Hedjazizadeh, Zahra
    Masoodian, Seyed Abolfazl
    Keikhosravi-Kiany, Mohammad Sadegh
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 150 (1-2) : 389 - 403