Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions

By Seonyoung Park, Jungho Im, E. Jang, J. Rhee. 2016

316 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/0dcffac2fca3accad5cb22e0ae920c264bbe55cf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Christopher Huntingford
2. Michael B. Bonsall

Citations in the corpus

• Machine learning and artificial intelligence to aid climate change research and preparedness (2019, background): “Park et al (2016) Climate extremes Forecastmeteorological droughts using antecedentmeteorological information in Ethiopia.”