DocumentCode
19954
Title
A Study of Shelterbelt Transpiration and Cropland Evapotranspiration in an Irrigated Area in the Middle Reaches of the Heihe River in Northwestern China
Author
Chen Qiao ; Rui Sun ; Ziwei Xu ; Lei Zhang ; Liangyun Liu ; Lvyuan Hao ; Guoqing Jiang
Author_Institution
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Volume
12
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
369
Lastpage
373
Abstract
The transpiration from shelterbelts and the evapotranspiration (ET) from cropland (maize and vegetables) and orchards (apple) in an irrigated area in the middle reaches of the Heihe River, China, were estimated using a modified Penman-Monteith (P-M) formula and airborne remote sensing data. The results were compared to the shelter transpiration results obtained from measurements of sup flow in tree trunks made with thermal dissipation probes and the latent heat fluxes observed by the eddy covariance technique at flux towers in croplands. The modified P-M formula was found to be an effective means to estimate not only the cropland and orchard ET but also the shelter transpiration. The seasonal variation of shelterbelt transpiration was smaller than those of cropland and orchard ET. Estimates of ET made using the P-M formula along with the remote sensing data showed that 9.9%, 3.1%, and 87.0% of the total ET were allotted to shelterbelts, apple orchards, and cropland, respectively.
Keywords
evaporation; remote sensing; rivers; transpiration; vegetation; Heihe river; Northwestern China; airborne remote sensing IEEE data; cropland evapotranspiration; eddy covariance technique; latent heat fluxes; modified Penman-Monteith formula; remote sensing data; shelter transpiration results; shelterbelt transpiration study; sup flow; thermal dissipation probes; tree trunks; Heating; Poles and towers; Probes; Remote sensing; Soil; Vegetation; Vegetation mapping; Evapotranspiration (ET); remote sensing; shelterbelt; transpiration; vegetation;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2014.2342219
Filename
6874535
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