Using remote sensing data to estimate evapotranspiration over the inhomogeneous landscape

Jianmao Guo; Xujie Li; Bin Zhu

doi:10.1117/12.860081

12 August 2010 Using remote sensing data to estimate evapotranspiration over the inhomogeneous landscape

Jianmao Guo, Xujie Li, Bin Zhu

Proceedings Volume 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII; 780912 (2010) https://doi.org/10.1117/12.860081
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Estimation evapotranspiration(ET) over large area of inhomogeneous landscape is very important and not an easy problem. Determination evapotranspiration over natural surface, the utilization of satellite remote sensing is indispensable. Using remote sensing data and weather stations data, a parameterization method is described for estimation evapotranspiration over the Tibetan Plateau area. In this paper, the natural surface is classified based on information of remote sensing and relevant information of geography, then the ET can be dealt with by each surface type in different way. Further more, distribution figure of the evapotranspiration is given out. The results indicate: (1) The regional distribution is characteristic by its terrain nature and the regional distribution is obvious and regular. It is seen that the derived regional distributions of the evapotranspiration for the whole mesoscale area is agreed with the land surface status very well. (2) The maximum evapotranspiration is over forest, rivers edge and other area can be irrigated (many flourish grass or crops growing there) are high too, the value of the evapotranspiration over nudation area is low. The derived regional evapotranspiration is contrasted with the value calculated by FAO-PM, and the result can be accepted.

Citation Download Citation

Jianmao Guo, Xujie Li, and Bin Zhu "Using remote sensing data to estimate evapotranspiration over the inhomogeneous landscape", Proc. SPIE 7809, Remote Sensing and Modeling of Ecosystems for Sustainability VII, 780912 (12 August 2010); https://doi.org/10.1117/12.860081

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available