Share Email Print
cover

Proceedings Paper

Estimating regional agricultural water use based on remote sensing data: a case study at Luancheng County of North China Plain
Author(s): Yuping Lei; Yunqiao Shu; Li Zheng; Hongjun Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Sustainable management of water resources requires reliable information on regional evapotranspiration (ET) distribution, which is the largest output component of the hydrological cycle in North China Plain (NCP). In this work, we integrate a popular remote sensing technique with ArcGIS to build a ArcMap tool bar, named rGIS-ET, for estimating regional ET from Landsat TM/ETM+ data. The development of rGIS-ET enables quick processing of large amount of remote sensing and other spatial data. It also provides user-friendly interfaces for modeling, output display and result analyses. We use daily ET measurements from a weighting lysimeter in our experimental station to verify the performance of rGIS-ET. The verification confirms the reliability of ET calculation, whose errors during crop growing season are less than 10 %. We apply rGIS-ET to Luancheng County, a typical agricultural region in NCP, to demonstrate its utility for calculating regional ET and estimating agriculture water needs and ground water usage, both of which are critical to the design of an effective water resources management program for achieving sustainable development.

Paper Details

Date Published: 1 September 2005
PDF: 8 pages
Proc. SPIE 5884, Remote Sensing and Modeling of Ecosystems for Sustainability II, 58840G (1 September 2005); doi: 10.1117/12.615788
Show Author Affiliations
Yuping Lei, Institute of Genetic and Developmental Biology, CAS (China)
Yunqiao Shu, Institute of Genetic and Developmental Biology, CAS (China)
Graduate School of the Chinese Academy of Sciences (China)
Li Zheng, Institute of Genetic and Developmental Biology, CAS (China)
Hongjun Li, Institute of Genetic and Developmental Biology, CAS (China)


Published in SPIE Proceedings Vol. 5884:
Remote Sensing and Modeling of Ecosystems for Sustainability II
Wei Gao; David R. Shaw, Editor(s)

© SPIE. Terms of Use
Back to Top