A generalized regression neural network model for accuracy improvement of global precipitation products: A climate zone-based local optimization

S Mohammadpouri, M Sadeghnejad, H Rezaei… - Sustainability, 2023 - mdpi.com
The ability to obtain accurate precipitation data from various geographic locations is crucial
for many applications. Various global products have been released in recent decades for …

Performance evaluation of IMERG precipitation products during typhoon Lekima (2019)

C Yu, D Hu, Y Di, Y Wang - Journal of Hydrology, 2021 - Elsevier
It is of great significance to evaluate satellite precipitation products performance for short-
duration heavy precipitation in typhoon events. In this study, the performance of GPM …

Evaluation of the CMORPH high-resolution precipitation product for hydrological applications over South Korea

J Kim, H Han - Atmospheric Research, 2021 - Elsevier
The use of a high-resolution satellite-based precipitation product on a global-scale is
attractive to hydrological applications. However, it should be systematically evaluated from …

Applicability of two satellite-based precipitation products for assessing rainfall erosivity in China

Y Chen, M Xu, Z Wang, P Gao, C Lai - Science of the Total Environment, 2021 - Elsevier
Soil erosion has become one of the most serious environmental problems worldwide, and
rainfall is considered a crucial factor in water erosion. Rainfall erosivity is defined as the …

[HTML][HTML] An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions

S Moeinizade, H Pham, Y Han, A Dobbels… - Machine Learning with …, 2022 - Elsevier
For a global breeding organization, identifying the next generation of superior crops is vital
for its success. Recognizing new genetic varieties requires years of in-field testing to gather …

Application of random forest algorithm for merging multiple satellite precipitation products across South Korea

GV Nguyen, XH Le, LN Van, S Jung, M Yeon, G Lee - Remote Sensing, 2021 - mdpi.com
Precipitation is a crucial component of the water cycle and plays a key role in hydrological
processes. Recently, satellite-based precipitation products (SPPs) have provided grid-based …

Monitoring the super typhoon lekima by GPM-based near-real-time satellite precipitation estimates

W Qi, B Yong, JJ Gourley - Journal of Hydrology, 2021 - Elsevier
As the fifth-largest super tropical cyclone landed on Mainland China in history, typhoon
Lekima occurred in August 2019 caused at least 71 deaths, 14 million disaster victims, and …

Performance evaluation of six gridded precipitation products throughout Iran using ground observations over the last two decades (2000–2020)

A Ghorbanian, A Mohammadzadeh, S Jamali, Z Duan - Remote Sensing, 2022 - mdpi.com
Precipitation, as an important component of the Earth's water cycle, plays a determinant role
in various socio-economic practices. Consequently, having access to high-quality and …

Performance evaluation, error decomposition and Tree-based Machine Learning error correction of GPM IMERG and TRMM 3B42 products in the Three Gorges …

Q Lin, T Peng, Z Wu, J Guo, W Chang, Z Xu - Atmospheric Research, 2022 - Elsevier
Satellite precipitation products (SPPs) have excellent development prospects in
hydrometeorology research for their high spatial-temporal resolution. Understanding the …

Sea surface rainfall detection and intensity retrieval based on GNSS-reflectometry data from the CYGNSS mission

J Bu, K Yu - IEEE Transactions on Geoscience and Remote …, 2021 - ieeexplore.ieee.org
Rainfall detection (RD) and rainfall intensity (RI) retrieval are hot topics in the field of ocean
remote sensing (RS). In the past, the sea surface RD and RI retrieval were usually based on …