Estimation of evapotranspiration at the landscape scale: A fuzzy disaggregation approach

Estimation of evapotranspiration at the landscape scale: A fuzzy disaggregation approach This paper presents a methodology for the representation of variability in land surface fluxes across a given domain. Landsat thematic mapper (TM) data are employed to estimate the pixel‐scale variability of the energy partition at the time of a TM overpass. Multiple realizations of the TOPUP soil vegetation‐atmosphere transfer (SVAT) model are run deductively to define a space of model responses over a longer period of time. This allows the models to be classified into different functional types. The uncertain pixel estimates are then used to condition or map the estimates of the local landscape fluxes into the space of model functional types using fuzzy measures. The identified fuzzy weights may then be employed to derive time series of the mean areal latent heat flux and quantiles to represent the range of the flux variability. This scheme has the advantages that the resulting model is simple enough to be used directly as a representation of a heterogeneous land surface in an atmospheric model and that the fuzzy weights may be updated with additional data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Estimation of evapotranspiration at the landscape scale: A fuzzy disaggregation approach

Loading next page...
 
/lp/wiley/estimation-of-evapotranspiration-at-the-landscape-scale-a-fuzzy-aviWSwGXgq
Publisher
Wiley
Copyright
Copyright © 1997 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
D.O.I.
10.1029/97WR01963
Publisher site
See Article on Publisher Site

Abstract

This paper presents a methodology for the representation of variability in land surface fluxes across a given domain. Landsat thematic mapper (TM) data are employed to estimate the pixel‐scale variability of the energy partition at the time of a TM overpass. Multiple realizations of the TOPUP soil vegetation‐atmosphere transfer (SVAT) model are run deductively to define a space of model responses over a longer period of time. This allows the models to be classified into different functional types. The uncertain pixel estimates are then used to condition or map the estimates of the local landscape fluxes into the space of model functional types using fuzzy measures. The identified fuzzy weights may then be employed to derive time series of the mean areal latent heat flux and quantiles to represent the range of the flux variability. This scheme has the advantages that the resulting model is simple enough to be used directly as a representation of a heterogeneous land surface in an atmospheric model and that the fuzzy weights may be updated with additional data.

Journal

Water Resources ResearchWiley

Published: Dec 1, 1997

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off