Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wang, Zehui, Bi, Yinli, Yang, Fei, Zheng, Junxi, Yang, Yanru, and Zhang, Sichen, 2025. Research of Spatial-Temporal Variation and Correlation of Water Storage and Vegetation Coverage in the Loess Plateau. Remote Sensing, 17(17):2983, doi:10.3390/rs17172983.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.2983W,
author = {{Wang}, Zehui and {Bi}, Yinli and {Yang}, Fei and {Zheng}, Junxi and {Yang}, Yanru and {Zhang}, Sichen},
title = "{Research of Spatial-Temporal Variation and Correlation of Water Storage and Vegetation Coverage in the Loess Plateau}",
journal = {Remote Sensing},
keywords = {Loess Plateau, water storage, vegetation coverage, spatial-temporal variation},
year = 2025,
month = aug,
volume = {17},
number = {17},
eid = {2983},
pages = {2983},
abstract = "{As a region with functions such as energy production and as an
ecological barrier, the Loess Plateau plays a vital role in
China. This study examines the spatiotemporal changes in water
storage and vegetation cover and their correlations. The changes
in water storage were calculated using GRACE data and the GLDAS-
NOAH model, while vegetation changes were derived from MODIS
data. The results showed that the groundwater inventory
decreased by 7.80 mm/a and the land inventory decreased by 9.72
mm/a. Surface water storage capacity increased by 1.92 mm/a.
From west to east, terrestrial and groundwater storage decrease,
reflecting overall losses, but surface water storage remains
positive. By analyzing the FVC, it can be observed that since
2006, vegetation coverage has shown an overall increasing trend,
with the highest value occurring in 2018. There has been a
remarkably increase in vegetation coverage in most areas, while
there was a decrease in vegetation coverage along the borders of
Qinghai Province and northern Shaanxi Province. By conducting a
correlation analysis, it can be found that the correlation
coefficients between terrestrial water storage, surface water
storage, and groundwater storage changes and vegetation coverage
are ‑0.85, 0.60, and ‑0.93, respectively, indicating that
increased vegetation coverage leads to reduced groundwater and
terrestrial water storage. The results also indicate that there
are significant spatial differences in the monthly correlations
and maximum lag months between water storage and vegetation
coverage. In addition, through discussing the driving factors of
water storage changes in the Loess Plateau, we consider that the
Grain for Green Project and mining activities may be the two
major drivers of these changes. This study is highly important
and valuable to the study of changes in water reserves in the
Loess Plateau, as well as ecological protection and
environmental assessment in the Loess Plateau.}",
doi = {10.3390/rs17172983},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.2983W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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