September 2024
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Melón‐Nava (2024) Recent Patterns and Trends of Snow Cover (2000–2023) in the Cantabrian Mountains (Spain) from Satellite Imagery Using Google Earth Engine
This study utilizes multi-sensor satellite data and Google Earth Engine to monitor daily snow cover in the Cantabrian Mountains, revealing a significant long-term decline in snow-cover days.
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Gan et al. (2024) Machine-learning downscaling of GPM satellite precipitation products in mountainous regions: A case study in Chongqing
This study applies a "calibration then downscaling" approach using machine learning to improve the spatial resolution of GPM daily precipitation products in the mountainous region of Chongqing, identifying LSTM as the most effective algorithm.
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Tang et al. (2024) Increased Sensitivity and Accelerated Response of Vegetation to Water Variability in China from 1982 to 2022
This study evaluates the sensitivity and response lag of vegetation growth to water availability across China from 1982 to 2022, finding that most vegetation is positively sensitive to water and has become increasingly susceptible to drought over time.
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Huang et al. (2024) Cumulative and Lagged Effects: Seasonal Characteristics of Drought Effects on East Asian Grasslands
This study investigates the seasonal cumulative and lagged effects (CALEs) of drought on grassland growth in East Asia from 2001 to 2020, revealing that drought sensitivity and the dominance of lagged versus cumulative effects vary significantly by season.
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Sseguya et al. (2024) Drought Quantification in Africa Using Remote Sensing, Gaussian Kernel, and Machine Learning
This study employs remote sensing data and machine learning to refine meteorological, agricultural, and hydrological drought indices across Africa, identifying the Classification and Regression Tree (CART) model as the most accurate for drought prediction.