ESTIMATION OF AREAL EVAPOTRANSPIRATION BY REMOTE SENSING
AND GIS TECHNIQUES
Chung-Hyun, AHN
Division of Global Environmental Information,
Svstems Engineering Research Institute
P.O. BOX 1, Yusung-Gu, Taejon, 305-600, KOREA
e-mail:hyun@serimail.seri.re.kr
Commission IV
KEY WORDS: GIS, Evapotranspiration, LANDSAT TM, Energy Balances Mapping
ABSTRACT
Remote Sensing data with ancillary ground-based meteorological data provides the capability of computing three of
the four surface energy balance components(i.e. net radiation, soil heat flux and sensible heat flux) at different
spatial and temporal scales. As a result, this enables the estimation of the remaining term, latent heat flux. One of the
practical applications with this approach is to provide evapotranspiration maps over large areas. This results could
estimate and reproduce areal evapotranspiration over large area as much as several hundred square kilometers.
Moreover, some calculating simulations for the effects of the land use change on the surface heat flux has been mad
by this method, which is able to estimate evapotranspiration under arbitrary presumed conditions.
From the simulation of land use change, the result suggests that the land use change in study area can be produce
the significant changes in surface heat flux. This preliminary research suggests that the future research should
involve development of methods to account for the variability of meteorological parameters brought about by
changes in surface conditions and improvements in the modelling of sensible heat transfer across the surface-
atmosphere interface for partial canopy conditions using remote sensing information.
1. Introduction
An important application of remote sensing homogeneous area surrounding the instruments but the
information is in the evaluation of the energy and water results are not applicable to large diverse areas.
budgets of natural and agricultural land surfaces. One of Although in recent years some sophisticated models
the main objectives of some recent hydrometeorological are being used in an operational mode, the amounts of
studies has been to test the feasibility of evaluating the information required and the fine tuning of some of the
surface energy and water balance of regional scales with geophysical parameters may make it difficult to
models using satellite data. Because the surface energy implement in area where there is limited meteorological,
and water budgets have important implications in plant physical, and soils information. . The only visible
modeling a wide range of geophysical processes, means of mapping the spatial distribution of
particular focus has been placed on obtaining reliable evapotranspiration on regional or local scales is using of
estimates of evapotranspiration at various spatial and remote sensing data.
temporal scales. Evapotranspiration is generally estimated by using
The magnitude of evapotranspiration has a broad thermal infrared data acquired by satellite based sensors
range of applications in plant physiology and irrigation and conventional ground-based meteorological data as
practices and to regional and global scale hydrology and inputs to a one-dimensional boundary layer model.
meteorology. For many applications, accurate values of Although remote sensing may provide information
daily evapotranspiration are necessary from field science relating to evapotranspiration at the field scale(e.g..
of order 10km* to mesoscale of order 10km> The vegetation index, surface temperature, albedo), local
evaporation of water from soil and plant surface is a meteorological conditions such as wind speed, air
component of the surface energy balances that is of both temperature, water vapor pressure etc, cannot be
theoretical and practical interests. Conventional ground- assessed with remote sensing. In addition, remote
based methods for estimating evapotranspiration, such sensing data from satellite are essentially instantaneous
as Bowen ratio, provide accurate measurements over a and may only be available once a day. This has resulted
30
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996
in th
instant
the wh
Re
intens:
popul
impac!
short.
incom
and it
Be
evapot
energy
chang
chang
from
means
latent
tempe
Th
latent
expres
an att
values
residu
GIS te
balanc
reclan
2. De
an
Th
compx
storag
neglig
where
is the
unit 0