Regional evaporation estimates from flux tower and MODIS satellite data

Citation data:

Remote Sensing of Environment, ISSN: 0034-4257, Vol: 106, Issue: 3, Page: 285-304

Publication Year:
2007
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Repository URL:
https://scholarworks.umt.edu/ntsg_pubs/177
DOI:
10.1016/j.rse.2006.07.007
Author(s):
Cleugh, Helen A.; Leuning, Ray; Mu, Qiaozhen; Running, Steven W
Publisher(s):
Elsevier BV; ScholarWorks at University of Montana
Tags:
Agricultural and Biological Sciences; Earth and Planetary Sciences; Flux towers; Land surface evaporation; MODIS remote sensing
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article description
Two models were evaluated for their ability to estimate land surface evaporation at 16-day intervals using MODIS remote sensing data and surface meteorology as inputs. The first was the aerodynamic resistance–surface energy balance model, and the second was the Penman–Monteith (P–M) equation, where the required surface conductance is estimated from remotely-sensed leaf area index. The models were tested using 3 years of evaporation and meteorological measurements from two contrasting Australian ecosystems, a cool temperate, evergreen Eucalyptus forest and a wet/dry, tropical savanna. The aerodynamic resistance–surface energy balance approach failed because small errors in the radiative surface temperature translate into large errors in sensible heat, and hence into estimates of evaporation. The P–M model adequately estimated the magnitude and seasonal variation in evaporation in both ecosystems (RMSE = 27 W m −2, R 2 = 0.74), demonstrating the validity of the proposed surface conductance algorithm. This, and the ability to constrain evaporation estimates via the energy balance, demonstrates the superiority of the P–M equation over the surface temperature-based model. There was no degradation in the performance of the P–M model when gridded meteorological data at coarser spatial (0.05°) and temporal (daily) resolution were substituted for locally-measured inputs.