Multi-modal learning for geospatial vegetation forecasting

Multi-modal learning for geospatial vegetation forecasting

28 March 2023

C. Requena-Mesa

Nuno Carvalhais

José A. Cortés

Markus Reichstein

Papers citing "Multi-modal learning for geospatial vegetation forecasting"

9 / 9 papers shown

Title
MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer Fudong Lin Summer Crawford Kaleb Guillot Yihe Zhang Yan Chen ... Tri Setiyono B. Tubana Lu Peng Magdy A. Bayoumi N. Tzeng 42 20 0 16 Sep 2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries Gabriel Tseng Ruben Cartuyvels Ivan Zvonkov Mirali Purohit David Rolnick Hannah Kerner 72 59 0 27 Apr 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 113 165 0 30 Dec 2022
EarthNets: Empowering AI in Earth Observation Zhitong Xiong Fahong Zhang Yi Wang Yilei Shi Xiao Xiang Zhu 79 72 0 10 Oct 2022
MaskViT: Masked Visual Pre-Training for Video Prediction Agrim Gupta Stephen Tian Yunzhi Zhang Jiajun Wu Roberto Martín-Martín Li Fei-Fei 94 110 0 23 Jun 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
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 66 49 0 16 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,538 0 24 Feb 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,816 0 13 Jun 2015