Satellites Reveal How Drought Gripped a Farming Heartland in Northeast Ethiopia
A new satellite-based study combining MODIS, SMAP and CHIRPS data shows that drought affected more than 65 percent of Guba ...
A new satellite-based study combining MODIS, SMAP and CHIRPS data shows that drought affected more than 65 percent of Guba ...
Chinese researchers have developed FAELSTM, a dual-attention deep learning framework that outperforms existing models in forecasting agricultural drought by filtering ...
A new CMIP6-based global assessment projects that soil moisture droughts will become longer and more severe by 2050, pushing agricultural ...
A new study links satellite-derived vegetation and soil moisture anomalies with farmer surveys across four Nigerian states, showing that these ...
A new copula-based study of Shandong Province shows that a runoff-centered drought index outperforms precipitation-based alternatives by integrating the full ...
A feature-optimized machine learning framework using MODIS satellite data achieves highly accurate estimation of crop vegetation water stress in Egypt's ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine