Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs

24 October 2022

Papers citing "Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs"

8 / 8 papers shown

Title
Explainable Earth Surface Forecasting under Extreme Events Oscar J. Pellicer-Valero Miguel-Ángel Fernández-Torres Chaonan Ji Miguel D. Mahecha Gustau Camps-Valls 21 0 0 02 Oct 2024
VegeDiff: Latent Diffusion Model for Geospatial Vegetation Forecasting Sijie Zhao Hao Chen Xue-liang Zhang P. Xiao Lei Bai Wanli Ouyang DiffM 40 0 0 17 Jul 2024
Global Vegetation Modeling with Pre-Trained Weather Transformers Pascal Janetzky Florian Gallusser Simon Hentschel Andreas Hotho Anna Krause 16 0 0 27 Mar 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 51 5 0 01 Nov 2023
FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire Stations Long-fei Chen He Wang Ouyang Yang Yang Zhou Naiyu Wang Quan Li 14 6 0 23 Jul 2023
Multi-modal learning for geospatial vegetation forecasting V. Benson Claire Robin C. Requena-Mesa Lazaro Alonso Nuno Carvalhais José A. Cortés Zhihan Gao Nora Linscheid M. Weynants Markus Reichstein 30 11 0 28 Mar 2023
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task C. Requena-Mesa V. Benson Markus Reichstein J. Runge Joachim Denzler 68 50 0 16 Apr 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015