Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

H West, N Quinn, M Horswell - Remote Sensing of Environment, 2019 - Elsevier
Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …

Deep learning in statistical downscaling for deriving high spatial resolution gridded meteorological data: A systematic review

Y Sun, K Deng, K Ren, J Liu, C Deng, Y ** - ISPRS Journal of …, 2024 - Elsevier
Nowadays, meteorological data plays a crucial role in various fields such as remote sensing,
weather forecasting, climate change, and agriculture. The regional and local studies call for …

Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based …

B Dechant, Y Ryu, M Kang - Remote sensing of environment, 2019 - Elsevier
Statistical gross primary productivity (GPP) estimation from remote sensing observations has
mostly been attempted on the basis of multispectral observations. To make full use of the …