MultiEarth 2023 -- Multimodal Learning for Earth and Environment Workshop and Challenge
Not on the map. Why?
Abstract (arXiv)
The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) is the second annual CVPR workshop aimed at the monitoring and analysis of the health of Earth ecosystems by leveraging the vast amount of remote sensing data that is continuously being collected. The primary objective of this workshop is to bring together the Earth and environmental science communities as well as the multimodal representation learning communities to explore new ways of harnessing technological advancements in support of environmental monitoring. The MultiEarth Workshop also seeks to provide a common benchmark for processing multimodal remote sensing information by organizing public challenges focused on monitoring the Amazon rainforest. These challenges include estimating deforestation, detecting forest fires, translating synthetic aperture radar (SAR) images to the visible domain, and projecting environmental trends. This paper presents the challenge guidelines, datasets, and evaluation metrics. Our challenge website is available at https://sites.google.com/view/rainforest-challenge/multiearth-2023.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 3 of its 28 references that are in the map. First posted on arXiv 7 Jun 2023.
Builds on
3 of 28 references.
References · 3
Built on by
Citing papers per year: 2023: 5; 2024: 0; 2025: 1.
6 papers.
- 2025TiMo: Spatiotemporal Foundation Model for Satellite Image Time Seriescited by 5
- 2023FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2cited by 4
- 2023MultiEarth 2023 Deforestation Challenge -- Team FOREVERcited by 1
- 2023Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagerycited by 1
- 20231st Place Solution to MultiEarth 2023 Challenge on Multimodal SAR-to-EO Image Translationcited by 0
- 2023CVPR MultiEarth 2023 Deforestation Estimation Challenge:SpaceVision4Amazoncited by 0
- 2025TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series13 May 2025
- 2023FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-26 Nov 2023
- 2023Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery10 Jul 2023
- 2023CVPR MultiEarth 2023 Deforestation Estimation Challenge:SpaceVision4Amazon10 Jul 2023
- 20231st Place Solution to MultiEarth 2023 Challenge on Multimodal SAR-to-EO Image Translation22 Jun 2023
- 2023MultiEarth 2023 Deforestation Challenge -- Team FOREVER20 Jun 2023