Soil Moisture Assessment Based on Multi‐Source Remotely Sensed Data in the Huaihe River Basin, China

Jun, Zhao; Wang, Yupeng; Xu, Jingwen; Xie, Hongfei; Sun, S Y

doi:10.1111/1752-1688.12874

Cited by 2 publications

(1 citation statement)

References 44 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, there was higher rainfall in the south and fewer rainfall in the north of the Huaihe River Basin [24]. The accuracy of SM measurements in the Huaihe River Basin may be mainly related to the local terrain, plant cover, and rainfall, according to the findings of Zhao et al [84]. Another study [57] shows that the Huaihe River Basin's complexity is mostly caused by its complicated geography, wet and dry climate zones, and high population density.…”

Section: Discussionmentioning

confidence: 88%

Comprehensive Error Analysis of CLDAS Soil Moisture Over Arid and Semiarid Regions

Guluzade

Pan

Farhan

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Soil moisture (SM) is an important parameter in all environments because it affects the relationship between the land surface and atmospheric processes. Therefore, finding products that can accurately measure SM is critical to improving drought management. The objective of this study was to investigate the accuracy of satellite data from SM produced by the China Meteorological Administration Land Data Assimilation System (CLDAS), focusing on the Huaihe and Heihe River basins in China, as both are prone to drought. To verify the accuracy of the daily surface data SM, measurements were obtained from 34 meteorological stations between January and December 2016. In addition, CLDAS measurement data were collected at a depth of 10 cm and 40 cm and compared with observed soil moisture measurements (OBS SM). The results show that the agreement of CLDAS SM with OBS was R > 0.66 at 10 cm and R > 0.47 at 40 cm in the Huaihe River Basin. R > 0.63 at 10 cm and R > 0.44 at 40 cm was observed in Heihe River Basin.

show abstract

Section: Discussionmentioning

confidence: 88%

Comprehensive Error Analysis of CLDAS Soil Moisture Over Arid and Semiarid Regions

Guluzade

Pan

Farhan

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

Response of rice's hydraulic transport and photosynthetic capacity to drought-flood abrupt alternation

Liu,

Hu,

Zhu

et al. 2024

Agricultural Water Management

View full text Add to dashboard Cite

Soil Moisture Assessment Based on Multi‐Source Remotely Sensed Data in the Huaihe River Basin, China

Abstract: The accuracies of soil moisture from AMSR-E and MODIS fusion data based on wavelet transform were better than those from single remote sensing data and could capture soil moisture dynamics well in the Huaihe River Basin, China.

Cited by 2 publications

References 44 publications

Comprehensive Error Analysis of CLDAS Soil Moisture Over Arid and Semiarid Regions

Comprehensive Error Analysis of CLDAS Soil Moisture Over Arid and Semiarid Regions

Response of rice's hydraulic transport and photosynthetic capacity to drought-flood abrupt alternation

Contact Info

Product

Resources

About