Mapping LAI using BRDF model in arid and semi-arid Northwestern China

2006 ◽  
Author(s):  
Hongchun Peng ◽  
Haiying Li ◽  
Xin Li ◽  
Wanchang Zhang ◽  
Yanhua Chen
Keyword(s):  
Northwestern China ◽  
Arid Northwestern China ◽  
Semi Arid

Mapping LAI of different plant communities in arid and semi-arid northwestern China

2005 ◽  
Author(s):  
Haiying Li ◽  
Hongchun Peng ◽  
Xin Li ◽  
Frank Veroustraete ◽  
Yanhua Chen
Keyword(s):  
Plant Communities ◽  
Northwestern China ◽  
Arid Northwestern China ◽  
Semi Arid

scholarly journals Groundwater Diffuse Recharge and its Response to Climate Changes in Semi-Arid Northwestern China

2015 ◽  
Vol 26 (4) ◽  
pp. 451 ◽  
Author(s):  
Lin Deng ◽  
Wenke Wang ◽  
Yanjun Cai ◽  
Anyan Hu ◽  
Liangcheng Tan
Keyword(s):  
Climate Changes ◽  
Northwestern China ◽  
Arid Northwestern China ◽  
Semi Arid

Evidence for a warm-humid climate in arid northwestern China during 40?30ka BP

2004 ◽  
Vol 23 (23-24) ◽  
pp. 2537-2548 ◽  
Author(s):  
B YANG ◽  
Y SHI ◽  
A BRAEUNING ◽  
J WANG
Keyword(s):  
Northwestern China ◽  
Humid Climate ◽  
Arid Northwestern China

Isotopic composition of precipitation over Arid Northwestern China and its implications for the water vapor origin

2009 ◽  
Vol 19 (2) ◽  
pp. 164-174 ◽  
Author(s):  
Jianrong Liu ◽  
Xianfang Song ◽  
Xiaomin Sun ◽  
Guofu Yuan ◽  
Xin Liu ◽  
...  
Keyword(s):  
Water Vapor ◽  
Isotopic Composition ◽  
Northwestern China ◽  
Arid Northwestern China

scholarly journals Changes in Remotely Sensed Vegetation Growth Trend in the Heihe Basin of Arid Northwestern China

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0135376 ◽  
Author(s):  
Wenchao Sun ◽  
Hao Song ◽  
Xiaolei Yao ◽  
Hiroshi Ishidaira ◽  
Zongxue Xu
Keyword(s):  
Remotely Sensed ◽  
Northwestern China ◽  
Growth Trend ◽  
Vegetation Growth ◽  
Arid Northwestern China

scholarly journals The spatial variability of soil water content in a potato field before and after spray irrigation in arid northwestern China

2020 ◽  
Vol 20 (3) ◽  
pp. 860-870 ◽  
Author(s):  
Tao Li ◽  
Jian-feng Zhang ◽  
Si-yuan Xiong ◽  
Rui-xi Zhang
Keyword(s):  
Spatial Variability ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Precision Agriculture ◽  
Field Experiments ◽  
Soil Layer ◽  
Northwestern China ◽  
Potato Field ◽  
Arid Northwestern China

Abstract Assessing the spatial variability of soil water content is important for precision agriculture. To measure the spatial variability of the soil water content and to determine the optimal number of sampling sites for predicting the mean soil water content at different stages of the irrigation cycle, field experiments were carried out in a potato field in northwestern China. The soil water content was measured in 2016 and 2017 at depths of 0–20 and 20–40 cm at 116 georeferenced locations. The average coefficient of variation of the soil water content was 20.79% before irrigation and was 16.44% after irrigation at a depth of 0–20 cm. The spatial structure of the soil water content at a depth of 20–40 cm was similar throughout the irrigation cycle, but at a depth of 0–20 cm a relatively greater portion of the variation in the soil water content was spatially structured before irrigation than after irrigation. The autocorrelation of soil water contents was influenced by irrigation only in the surface soil layer. To accurately predict mean soil moisture content, 40 and 20 random sampling sites should be chosen with errors of 5% and 10%, respectively.

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