A review of downscaling methods of satellite-based precipitation estimates

A Abdollahipour, H Ahmadi, B Aminnejad - Earth Science Informatics, 2022 - Springer
Satellite remote sensing is the main tool for estimating precipitation over areas with sparse
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …

Do ERA5 and ERA5-land precipitation estimates outperform satellite-based precipitation products? A comprehensive comparison between state-of-the-art model …

J Xu, Z Ma, S Yan, J Peng - Journal of Hydrology, 2022 - Elsevier
Accurate precipitation retrievals with fine spatio-temporal resolutions are critical in global
and regional analyses. As an important alternative of satellite-based precipitation products …

Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China

J Peng, A Biswas, Q Jiang, R Zhao, J Hu, B Hu, Z Shi - Geoderma, 2019 - Elsevier
Soil salinization is one of the main reasons for soil health and ecosystem deterioration in
most degraded arid and semiarid areas. To monitor its spatial variation as precise as …

Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI

J Wang, J Ding, D Yu, D Teng, B He, X Chen… - Science of the Total …, 2020 - Elsevier
Accurate assessment of soil salinization is considered as one of the most important steps in
combating global climate change, especially in arid and semi-arid regions. Multi-spectral …

Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models

H Teng, Z Liang, S Chen, Y Liu, RAV Rossel… - Science of the Total …, 2018 - Elsevier
Soil erosion by water is accelerated by a warming climate and negatively impacts water
security and ecological conservation. The Tibetan Plateau (TP) has experienced warming at …

Geographically weighted regression based methods for merging satellite and gauge precipitation

L Chao, K Zhang, Z Li, Y Zhu, J Wang, Z Yu - Journal of Hydrology, 2018 - Elsevier
Real-time precipitation data with high spatiotemporal resolutions are crucial for accurate
hydrological forecasting. To improve the spatial resolution and quality of satellite …

Land use and climate change effects on soil organic carbon in North and Northeast China

Y Zhou, AE Hartemink, Z Shi, Z Liang, Y Lu - Science of the Total …, 2019 - Elsevier
Soil is recognized as the largest carbon reservoir in the terrestrial ecosystem. Soil organic
carbon (SOC) is vulnerable to changes in land use and climate. For a better understanding …

[HTML][HTML] Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy

C Chen, B Hu, Y Li - Hydrology and Earth System Sciences, 2021 - hess.copernicus.org
Precipitation data with high resolution and high accuracy are significantly important in
numerous hydrological applications. To enhance the spatial resolution and accuracy of …

AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE

Z Ma, J Xu, S Zhu, J Yang, G Tang… - Earth System …, 2020 - essd.copernicus.org
Precipitation estimates with fine quality and spatio-temporal resolutions play significant roles
in understanding the global and regional cycles of water, carbon, and energy. Satellite …

A high-resolution map of soil pH in China made by hybrid modelling of sparse soil data and environmental covariates and its implications for pollution

S Chen, Z Liang, R Webster, G Zhang, Y Zhou… - Science of the Total …, 2019 - Elsevier
The soil's pH is the single most important indicator of the soil's quality, whether for
agriculture, pollution control or environmental health and ecosystem functioning. Well …