EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task

16 April 2021

Papers citing "EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task"

5 / 5 papers shown

Title
Implicit Neural Representations for Simultaneous Reduction and Continuous Reconstruction of Multi-Altitude Climate Data Alif Bin Abdul Qayyum Xihaier Luo Nathan M. Urban Xiaoning Qian Byung-Jun Yoon AI4Cl 26 0 0 25 Sep 2024
Cluster-Segregate-Perturb (CSP): A Model-agnostic Explainability Pipeline for Spatiotemporal Land Surface Forecasting Models Tushar Verma Sudipan Saha 33 0 0 12 Aug 2024
U-TILISE: A Sequence-to-sequence Model for Cloud Removal in Optical Satellite Time Series Corinne Stucker Vivien Sainte Fare Garnot Konrad Schindler AI4TS 24 13 0 22 May 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
Learning to forecast vegetation greenness at fine resolution over Africa with ConvLSTMs Claire Robin C. Requena-Mesa V. Benson Lazaro Alonso Jeran Poehls Nuno Carvalhais Markus Reichstein AI4TS 27 12 0 24 Oct 2022