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TitleQuantifying the Spatial Distribution of Evapotranspiration with Satellite Data
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorLiu, J; Chen, J M; Cihlar, J; Chen, WORCID logo; Pavlic, G
SourceFourth International Airborne Remote Sensing Conference and Exhibition/21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June; 1999., Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20042730
Mediapaper; on-line; digital
File formatpdf
SubjectsNature and Environment
Released1999 01 01
AbstractEvapotranspiration (ET) is the sum of water vapor fluxes from transpiration of leaves and evaporation from the soil and from wet leaves. It is not only closely related to plant growth and carbon uptake but also an important hydrological component affecting runoff, ground water and atmospheric circulation. ET magnitude and variability are of key concern in climate change research. Remote sensing techniques offer the possibility of quantifying the spatial and temporal variations of ET. By using satellite data as inputs, ET over the entire Canada's landmass was calculated at 1 km resolution with a computer model, the Boreal Ecosystems Productivity Simulator (BEPS) (Liu et al., 1997). The satellite data, which includes land cover (annually) and leaf area index (10-day intervals), were derived from the Advanced Very High Resolution Radiometer (AVHRR) on board of NOAA satellites. The ancillary data were meteorological data (daily) and soil texture. The Penman-Monteith method was used but theoretically modified to consider: (1) non-linear response of the conductance to diurnal variation of weather conditions, and (2) the effects of canopy architecture on canopy conductance. The results were validated using measurements from Saskatchewan and Manitoba made as part of BOReal Ecosystem-Atmosphere Study (BOREAS).

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