Estimation of winter wheat phenology under the influence of cumulative temperature and soil salinity in the Yellow River Delta, China, using MODIS time-series data

2016 ◽  
Vol 37 (10) ◽  
pp. 2211-2232 ◽  
Author(s):  
Lin Chu ◽  
Chong Huang ◽  
Qing-sheng Liu ◽  
Gao-huan Liu
Keyword(s):  
Time Series ◽  
Winter Wheat ◽  
Soil Salinity ◽  
Time Series Data ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
Series Data ◽  
The Yellow River ◽  
The Yellow River Delta

Potential plant species distribution in the Yellow River Delta under the influence of groundwater level and soil salinity

Ecohydrology ◽  
2010 ◽  
Vol 4 (6) ◽  
pp. 744-756 ◽  
Author(s):  
Xiaomei Fan ◽  
Bas Pedroli ◽  
Gaohuan Liu ◽  
Hongguang Liu ◽  
Chuangye Song ◽  
...  
Keyword(s):  
Plant Species ◽  
Species Distribution ◽  
Soil Salinity ◽  
Groundwater Level ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
The Yellow River ◽  
The Yellow River Delta

scholarly journals Regional estimation of daily to annual evapotranspiration with MODIS data in the Yellow River Delta wetland

2009 ◽  
Vol 6 (2) ◽  
pp. 2301-2335 ◽  
Author(s):  
L. Jia ◽  
G. Xi ◽  
S. Liu ◽  
C. Huang ◽  
Y. Yan ◽  
...  
Keyword(s):  
Time Series ◽  
Energy Balance ◽  
Land Surface ◽  
Yellow River ◽  
Yellow River Delta ◽  
River Delta ◽  
The Yellow River ◽  
Vegetation Types ◽  
The Yellow River Delta ◽  
The Yrd

Abstract. Evapotranspiration (ET) from the wetland of the Yellow River Delta is one of the important components in the water cycle, which represents the water consumption by the plants and evaporation from the water and the non-vegetated surfaces. Reliable estimates of the total evapotranspiration from the wetland is useful information both for understanding the hydrological process and for water management to protect this natural environment. Due to the heterogeneity of the vegetation types and canopy density and of soil water content over the wetland (specifically over the natural reserve areas), it is difficult to estimate the regional evapotranspiration extrapolating measurements or calculations usually done locally for a specific land cover type. Remote sensing can provide observations of land surface conditions with high spatial and temporal resolution and coverage. In this study, a model based on the Energy Balance method was used to calculate daily ET using instantaneous observations of land surface reflectance and temperature from MODIS when the data were available on clouds-free days. A time series analysis algorithm is then applied to generate a time series of daily ET over a year period by filling the gaps in the observation series due to clouds. A detailed vegetation classification map is used to help identifying areas of various wetland vegetation types in the YRD wetland. Such information is also used to improve the parameterizations in the energy balance model to improve the accuracy of ET estimates. This study shows that spatial variation of ET is significant over the same vegetation class at a given time and over different vegetation types in different seasons in the YRD wetland.

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