scholarly journals Validation and Analysis of Long-Term AATSR Land Surface Temperature Product in the Heihe River Basin, China

2017 ◽  
Vol 9 (2) ◽  
pp. 152 ◽  
Author(s):  
Xiaoying Ouyang ◽  
Dongmei Chen ◽  
Si-Bo Duan ◽  
Yonghui Lei ◽  
Youjun Dou ◽  
...  
Keyword(s):  
Surface Temperature ◽  
River Basin ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Heihe River Basin ◽  
Heihe River ◽  
The Heihe River Basin

scholarly journals Accuracy Assessment on MODIS (V006), GLASS and MuSyQ Land-Surface Albedo Products: A Case Study in the Heihe River Basin, China

2018 ◽  
Vol 10 (12) ◽  
pp. 2045 ◽  
Author(s):  
Xiaodan Wu ◽  
Jianguang Wen ◽  
Qing Xiao ◽  
Dongqin You ◽  
Baocheng Dou ◽  
...  
Keyword(s):  
River Basin ◽  
Land Surface ◽  
Accuracy Assessment ◽  
Temporal Variations ◽  
Geographic Region ◽  
Heihe River Basin ◽  
Heihe River ◽  
Quantitative Remote Sensing ◽  
Mean Square Errors ◽  
The Heihe River Basin

This study assessed accuracies of MCD43A3, Global Land-Surface Satellite (GLASS) and forthcoming Multi-source Data Synergized Quantitative Remote Sensing Production system (MuSyQ) albedos using ground observations and Huan Jing (HJ) data over the Heihe River Basin. MCD43A3 and MuSyQ albedos show similar high accuracies with identical root mean square errors (RMSE). Nevertheless, MuSyQ albedo is better correlated with ground measurements when sufficient valid observations are available or snow-free. The opposite happens when less than seven valid observations are available. GLASS albedo presents a larger RMSE than MCD43A3 and MuSyQ albedos in comparison with ground measurements. Over surfaces with smaller seasonal variations, MCD43A3 and MuSyQ albedos show smaller RMSEs than GLASS albedo in comparison with HJ albedo. However, for surfaces with larger temporal variations, both RMSEs and R2 of GLASS albedo are comparable with MCD43A3 and MuSyQ. Generally, MCD43A3 and MuSyQ albedos featured the same RMSEs of 0.034 and similar R2 (0.920 and 0.903, respectively), which are better than GLASS albedo (RMSE = 0.043, R2 = 0.787). However, when it comes to comparison with aggregated HJ albedo, MuSyQ and GLASS albedos are with lower RMSEs of 0.027 and 0.032 and higher R2 of 0.900 and 0.898 respectively than MCD43A3 (RMSE = 0.038, R2 = 0.836). Despite the limited geographic region of the study area, they still provide an important insight into the accuracies of three albedo products.

Estimation of land surface evapotranspiration over the Heihe River basin based on the revised three-temperature model

2011 ◽  
Vol 26 (8) ◽  
pp. 1263-1269 ◽  
Author(s):  
Xinping Luo ◽  
Keli Wang ◽  
Hao Jiang ◽  
Jia Sun ◽  
Qingliang Zhu
Keyword(s):  
River Basin ◽  
Land Surface ◽  
Heihe River Basin ◽  
Heihe River ◽  
Temperature Model ◽  
The Heihe River Basin

Evaluating Spatial Heterogeneity of Land Surface Hydrothermal Conditions in the Heihe River Basin

2020 ◽  
Vol 30 (5) ◽  
pp. 855-875
Author(s):  
Yuan Zhang ◽  
Shaomin Liu ◽  
Xiao Hu ◽  
Jianghao Wang ◽  
Xiang Li ◽  
...  
Keyword(s):  
Spatial Heterogeneity ◽  
River Basin ◽  
Land Surface ◽  
Heihe River Basin ◽  
Heihe River ◽  
Hydrothermal Conditions ◽  
The Heihe River Basin

scholarly journals Estimating Evaporation from Irrigation Canals in the Midstream Areas of the Heihe River Basin by a Double-Deck Surface Air Layer (DSAL) Model

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1788
Author(s):  
Weizhen Wang ◽  
Feinan Xu ◽  
Suhua Liu ◽  
Long Wei ◽  
Jiaojiao Feng ◽  
...  
Keyword(s):  
River Basin ◽  
Irrigation Water ◽  
Heihe River Basin ◽  
Heihe River ◽  
Irrigation Canals ◽  
Running Water ◽  
Evaporation Loss ◽  
Surface Air Layer ◽  
The Heihe River Basin

Accurate quantification of evaporation loss from irrigation canals at an irrigation district scale is very useful for developing efficient irrigation strategies, particularly in water-deficient regions. The double-deck surface air layer (DSAL) model, a new aerodynamic method proposed by Kobayashi et al. (2013), is used for estimating the evaporation loss from a running water surface in irrigation canals. In this study, based on the long-term meteorological measurements made at automatic weather stations in 2013 and the field experiment conducted at - midstream areas of the Heihe River Basin (HRB), northwestern China, the DSAL model was applied to estimate the long-term evaporation loss from irrigation canals, which was the remarkable highlight of the study. The results showed that the rate of evaporation from irrigation canals exhibited a concave-up trend for the period from June to September, with higher values in June and September (20 to 50 mm day−1) and lower values in July and August (around 10 mm day−1). During the four months, for the Yingke and Daman irrigation districts in the Zhangye Oasis, the total water losses from irrigation canals due to evaporation were approximately 23.9 × 105 m3 and 36.6 × 105 m3, or 3.2% and 4.8% of the total amount of irrigation water, respectively. Results of the study are not only important for improving the irrigation water use efficiency, but also are beneficial to develop sustainable water resource management in the midstream areas of the HRB.

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