DocumentCode
2133940
Title
Estimating forest evapotranspiration in South China using MODIS data
Author
Xin, Xiaozhou ; Chen, Liangfu ; Jing Li ; Zhang, Qiang ; Yang, Lei ; Liu, Yunfen
Author_Institution
State Key Lab. of Remote Sensing Sci., Chinese Sci. Acad., Beijing, China
Volume
4
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
2397
Abstract
The evapotranspiration of forestland surface was estimated using MODIS data. The study area is located in Jiangxi province, south China, dominated by tall indeciduous conifers. The parameters of land surface energy balance, i.e., leaf area index (LAI), land surface temperature (LST), surface albedo etc. were inversed from VIS/NIR and TIR band data of MODIS sensor. Some of the assistant data, such as meteorological factors and canopy structure parameters were obtained in-situ at Qianyanzhou ecological experiment station, which is one of the sites in the ecology observation system of Chinese Academy of Sciences. The radiation components and net radiation of surface were estimated with these parameters and ancillary data. Soil heat flux was estimated as a fraction of net radiation from the area coverage of the canopy. Surface sensible heat flux was decided according to surface temperature gradient and aerodynamic resistance. The excess-resistance for scalar flux transfer was also considered. Eventually, the latent heat flux (instantaneous evaporation rate) was obtained as the residual term of the surface energy balance equation. Daily evapotranspiration was then derived from the one-time-of-day estimation.
Keywords
albedo; evaporation; forestry; hydrological techniques; hydrology; land surface temperature; transpiration; vegetation mapping; Chinese Academy of Sciences; Jiangxi; MODIS; Qianyanzhou ecological experiment station; South China; aerodynamic resistance; forest evapotranspiration; forestland surface; instantaneous evaporation rate; land surface energy balance; land surface temperature; latent heat flux; leaf area index; soil heat flux; surface albedo; surface temperature gradient; Environmental factors; Land surface; Land surface temperature; MODIS; Meteorological factors; Parameter estimation; Resistance heating; Soil; Surface resistance; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1369773
Filename
1369773
Link To Document