Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach
Land surface temperature (LST) is among the most important variables in monitoring land
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
surface processes. LST is often retrieved from thermal infrared remote sensing data, which …
Abnormal expression of hepatoma specific γ‐glutamyl transferase and alteration of γ‐glutamyl transferase gene methylation status in patients with hepatocellular …
D Yao, D Jiang, Z Huang, J Lu, Q Tao, Z Yu, X Meng - Cancer, 2000 - Wiley Online Library
BACKGROUND Hepatoma specific γ‐glutamyl transferase (HS‐GGT) bands were expressed
in the development of hepatocellular carcinoma (HCC) and were associated with a high …
in the development of hepatocellular carcinoma (HCC) and were associated with a high …
Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution
Surface soil moisture (SSM), as a vital variable for water and heat exchanges between the
land surface and the atmosphere, is essential for agricultural production and drought …
land surface and the atmosphere, is essential for agricultural production and drought …
[HTML][HTML] Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN
Climate changes significantly impact environmental and hydrological processes. Precipitation
is one of the most significant climatic parameters and its variability and trends have great …
is one of the most significant climatic parameters and its variability and trends have great …
[HTML][HTML] Significance of the China meteorological assimilation driving datasets for the SWAT model (CMADS) of East Asia
X Meng, H Wang - Water, 2017 - mdpi.com
The high degree of spatial variability in climate conditions, and a lack of meteorological data
for East Asia, present challenges to conducting surface water research in the context of the …
for East Asia, present challenges to conducting surface water research in the context of the …
[HTML][HTML] Projected soil organic carbon loss in response to climate warming and soil water content in a loess watershed
F Zhao, Y Wu, J Hui, B Sivakumar, X Meng… - Carbon balance and …, 2021 - Springer
Background Soil organic carbon (SOC) plays a crucial role in the global carbon cycle and
terrestrial ecosystem functions. It is widely known that climate change and soil water content (…
terrestrial ecosystem functions. It is widely known that climate change and soil water content (…
[HTML][HTML] Assessing the impact of extreme droughts on dryland vegetation by multi-satellite solar-induced chlorophyll fluorescence
Satellite-estimated solar-induced chlorophyll fluorescence (SIF) is proven to be an effective
indicator for dynamic drought monitoring, while the capability of SIF to assess the variability …
indicator for dynamic drought monitoring, while the capability of SIF to assess the variability …
[HTML][HTML] Phylogeny of the plant receptor-like kinase (RLK) gene family and expression analysis of wheat RLK genes in response to biotic and abiotic stresses
J Yan, P Su, X Meng, P Liu - BMC genomics, 2023 - Springer
Background The receptor-like kinase (RLK) gene families in plants contains a large number
of members. They are membrane proteins with an extracellular receptor domain and …
of members. They are membrane proteins with an extracellular receptor domain and …
[HTML][HTML] Establishment and evaluation of the China meteorological assimilation driving datasets for the SWAT model (CMADS)
We describe the construction of a very important forcing dataset of average daily surface
climate over East Asia—the China Meteorological Assimilation Driving Datasets for the Soil and …
climate over East Asia—the China Meteorological Assimilation Driving Datasets for the Soil and …
Climate change-induced drought evolution over the past 50 years in the southern Chinese Loess Plateau
…, F Zhao, P Sun, Y Sun, L Qiu, J Chen, X Meng… - … modelling & software, 2019 - Elsevier
Understanding the spatiotemporal evolution of drought is vital for effective water resources
management especially in arid and semi-arid regions and under climate change. In this study…
management especially in arid and semi-arid regions and under climate change. In this study…