Predicting soil erosion and sediment yield at regional scales: where do we stand?

J De Vente, J Poesen, G Verstraeten, G Govers… - Earth-Science …, 2013 - Elsevier
Assessments of the implications of soil erosion require quantification of soil erosion rates
(SE) and sediment yield (SSY) at regional scales under present and future climate and land …

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 …

A dryness index TSWDI based on land surface temperature, sun-induced chlorophyll fluorescence, and water balance

Y Liu, X Yu, C Dang, H Yue, X Wang, H Niu… - ISPRS Journal of …, 2023 - Elsevier
Drought has a serious impact on the health of terrestrial ecosystems, socio-economy and
human health. It is important to accurately monitor drought conditions. Soil moisture (SM) …

Downscaling satellite precipitation estimates with multiple linear regression, artificial neural networks, and spline interpolation techniques

E Sharifi, B Saghafian… - Journal of Geophysical …, 2019 - Wiley Online Library
Satellite precipitation estimates (SPEs) have been widely used in various applications.
However, when applied to small basins and regions, the spatial resolution of SPEs is too …

First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling–calibration procedure

Z Duan, WGM Bastiaanssen - Remote Sensing of Environment, 2013 - Elsevier
Accurate precipitation data at high spatial and temporal resolution is deemed necessary for
many hydrological and water management applications, and especially in data scarce river …

A statistical spatial downscaling algorithm of TRMM precipitation based on NDVI and DEM in the Qaidam Basin of China

S Jia, W Zhu, A Lű, T Yan - Remote sensing of Environment, 2011 - Elsevier
The availability of precipitation data with high spatial resolution is of fundamental importance
in several applications such as hydrology, meteorology and ecology. At present, there are …

Accuracy of CHIRPS satellite-rainfall products over mainland China

L Bai, C Shi, L Li, Y Yang, J Wu - Remote Sensing, 2018 - mdpi.com
Precipitation is the main component of global water cycle. At present, satellite quantitative
precipitation estimates (QPEs) are widely applied in the scientific community. However, the …

Vegetation dynamics from NDVI time series analysis using the wavelet transform

B Martínez, MA Gilabert - Remote sensing of environment, 2009 - Elsevier
A multi-resolution analysis (MRA) based on the wavelet transform (WT) has been
implemented to study NDVI time series. These series, which are non-stationary and present …

[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 …

Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework

A Elnashar, H Zeng, B Wu, AA Fenta, M Nabil… - Science of the Total …, 2021 - Elsevier
Assessment of soil loss and understanding its major drivers are essential to implement
targeted management interventions. We have proposed and developed a Revised Universal …