2014 Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA) 2014
DOI: 10.1109/eorsa.2014.6927845
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Spatial-temporal change analysis of evapotranspiration in the Heihe River Basin

Abstract: Evapotranspiration (ET) is one important component of hydrological process. It is also a limited factor for ecological environment conservation. The unreasonable utilization of water resources resulted in many problems in the Heihe River Basin, such as the over exploited of water resources, especial the ground water, the river flow decrease, land degradation. A correct understanding of the water consumption characteristics is undoubtedly a base of achieving the sustainable development of society, economy, and … Show more

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Cited by 2 publications
(3 citation statements)
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“…As shown in Figure b, the intercepted monthly precipitation accords well with the measured precipitation at the four reserved CMWR stations. Based on the eddy correlation and remote sensing data, Yan et al () reported that the average annual ET was about 342 mm between 2000 and 2013 in the UHR. During the same period, the average runoff depth was about 177 mm (Yingluoxia station in Figure ).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…As shown in Figure b, the intercepted monthly precipitation accords well with the measured precipitation at the four reserved CMWR stations. Based on the eddy correlation and remote sensing data, Yan et al () reported that the average annual ET was about 342 mm between 2000 and 2013 in the UHR. During the same period, the average runoff depth was about 177 mm (Yingluoxia station in Figure ).…”
Section: Resultsmentioning
confidence: 99%
“…The average annual ET from the CBHM was about 338.6 mm (Figure a) between 1960 and 2013 in the UHR. Yan et al () gave a value of about 342 mm between 2000 and 2013 based on remote sensing data. On the point and grid cell scale, the monthly ET measured with the same two minilysimeters was close to the CBHM outputs on a 1 km scale between July 2009 and December 2013 in the Hulu watershed (Figure b).…”
Section: Resultsmentioning
confidence: 99%
“…Land cover data obtain from the 2014 "Strategic Priority Research Program-Climate Change: Carbon Budget and Related Issues" of the Chinese Academy of Sciences [37,46,47], which adopt Object-based method to classify and have an overall accuracy of 86% [47].…”
Section: Datamentioning
confidence: 99%