An Autoencoder-based Snow Drought Index

no code implementations • 23 May 2023 • Sinan Rasiya Koya, Kanak Kanti Kar, Shivendra Srivastava, Tsegaye Tadesse, Mark Svoboda, Tirthankar Roy

We use reanalysis data (NLDAS-2) from 1981 to 2021 for the Pacific United States to study the efficacy of the new snow drought index.

Self-Supervised Learning

TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data

no code implementations • 7 Dec 2022 • Beichen Zhang, Frank Schilder, Kelly Helm Smith, Michael J. Hayes, Sherri Harms, Tsegaye Tadesse

The model was then applied to California tweets and validated with keyword-based labels.

Transfer Learning

Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter

no code implementations • 4 Nov 2022 • Beichen Zhang, Fatima K. Abu Salem, Michael J. Hayes, Tsegaye Tadesse

Under climate change, the increasing frequency, intensity, and spatial extent of drought events lead to higher socio-economic costs.

Management