| Title | Quantifying the Spatial Distribution of Evapotranspiration with Satellite Data |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Liu, J; Chen, J M; Cihlar, J; Chen, W ; Pavlic, G |
| Source | Fourth International Airborne Remote Sensing Conference and Exhibition/21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June; 1999., https://doi.org/10.4095/219532  Open Access |
| Year | 1999 |
| Alt Series | Earth Sciences Sector, Contribution Series 20042730 |
| Document | book |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | Nature and Environment |
| Released | 1999 01 01 |
| Abstract | Evapotranspiration (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). |
| GEOSCAN ID | 219532 |
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