Calculating soil moisture by remote sensing and analyzing hydrologic cycle process in the Yellow River basin

2004 ◽  
Vol 47 (8) ◽  
pp. 1 ◽  
Author(s):  
Shengtian YANG
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
Hydrologic Cycle ◽  
The Yellow River ◽  
The Yellow River Basin

scholarly journals Study on the Relationship between Topological Characteristics of Vegetation Ecospatial Network and Carbon Sequestration Capacity in the Yellow River Basin, China

2021 ◽  
Vol 13 (23) ◽  
pp. 4926
Author(s):  
Minzhe Fang ◽  
Guoxin Si ◽  
Qiang Yu ◽  
Huaguo Huang ◽  
Yuan Huang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Carbon Sequestration ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Carbon Neutrality ◽  
Vegetation Carbon ◽  
The Yellow River Basin ◽  
The Relationship

Achieving carbon neutrality is a necessary effort to rid humanity of a catastrophic climate and is a goal for China in the future. Ecological space plays an important role in the realization of carbon neutrality, but the relationship between the structure of vegetation ecological space and vegetation carbon sequestration capacity has been the focus of research. In this study, we extracted the base data from MODIS products and other remote sensing products, and then combined them with the MCR model to construct a vegetation ecospatial network in the Yellow River Basin in 2018. Afterward, we calculated the topological indicators of ecological nodes in the network and analyzed the relationship between the carbon sequestration capacity (net biome productivity) of ecological nodes and these topological indicators in combination with the Biome-BGC model. The results showed that there was a negative linear correlation between the betweenness centrality of forest nodes and their carbon sequestration capacity in the Yellow River Basin (p < 0.05, R2 = 0.59). On the other hand, there was a positive linear correlation between the clustering coefficient of grassland nodes and their carbon sequestration capacity (p < 0.01, R2 = 0.49). In addition, we briefly evaluated the vegetation ecospatial network in the Yellow River BASIN and suggested its optimization direction under the background of carbon neutrality in the future. Increasing the carbon sequestration capacity of vegetation through the construction of national ecological projects is one of the ways to achieve carbon neutrality, and this study provides a reference for the planning of future national ecological projects in the Yellow River Basin. Furthermore, this is also a case study of the application of remote sensing in vegetation carbon budgeting.

scholarly journals Changes of Soil Moisture from Multiple Sources during 1988–2010 in the Yellow River Basin, China

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Dan Lou ◽  
Guojie Wang ◽  
Chan Shan ◽  
Daniel Fiifi T. Hagan ◽  
Waheed Ullah ◽  
...  
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Soil Drying ◽  
Interannual Variations ◽  
Multiple Sources ◽  
The Yellow River Basin

Soil moisture is a key variable in terrestrial water cycle, playing a key role in the exchange of water and energy in the land-atmosphere interface. The spatiotemporal variations of soil moisture from multiple sources during 1988–2010 are evaluated against in situ observations in the Yellow River basin, China, including the Essential Climate Variable satellite’s passive microwave product (SMECV), ERA-Interim reanalysis (SMERA), the National Centers for Environmental Prediction/Department of Energy’s Reanalysis-2 (SMNCEP), and the Variable Infiltration Capacity model products (SMVIC). The seasonal soil moisture dynamics of SMECV and SMVIC appear to be consistent with SMin  situ, with significant soil drying in spring and wetting in summer. SMERA and SMNCEP, however, fail to capture the soil drying before rainy seasons. Remarkably, SMECV shows large agreement with SMin  situ in terms of the interannual variations and the long-term drying trends. SMVIC captures the interannual variations but fails to have the long-term trends in SMin  situ. As for SMERA and SMNCEP, they fail to capture both the interannual variations and the long-term soil drying trends in SMin  situ.

scholarly journals Spatio-temporal variation of surface soil moisture over the Yellow River basin during 1961–2012

2015 ◽  
Vol 368 ◽  
pp. 391-396
Author(s):  
R. Tong ◽  
X. Yang ◽  
L. Ren ◽  
H. Shen ◽  
H. Shan ◽  
...  
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Surface Soil ◽  
Yellow River ◽  
Soil Layer ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Surface Soil Moisture ◽  
Basin Scale ◽  
The Yellow River Basin

Abstract. Soil moisture plays a significant role in agricultural and ecosystem development. However, in the real world soil moisture data are very limited due to many factors. VIC-3L model, as a semi-distribution hydrological model, can potentially provide valuable information regarding soil moisture. In this study, daily soil moisture contents in the surface soil layer (0–10 cm) of 1500 grids at 0.25 × 0.25 degree were simulated by the VIC-3L model. The Mann-Kendall trend test and Morlet wavelet analysis methods were used for the analysis of annual and monthly average surface soil moisture series. Results showed that the trend of surface soil moisture was not obvious on the basin scale, but it varied with spatial and temporal conditions. Different fluctuation amplitudes and periods of surface soil moisture were also discovered on the Yellow River basin during 1961 to 2012.

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