1st Workshop on Computer Vision for Earth Observation (CV4EO) Applications


January 7th, 2024

1pm (HST - UTC-10)


IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024

Waikoloa Beach Marriott Resort, Hawaii, USA

Slido for asking your questions during event


Code: #2472463

Program available here

Hybrid event: all presenters in person, with live streaming of the event for registered participants

Geospatial Artificial Intelligence (GeoAI) integrates methods from spatial sciences (e.g., geographic information systems – GIS) and AI to enable knowledge extraction from big geospatial data. GeoAI is extensively applied in conjunction with Earth Observation (EO) data, which entails capturing information about the Earth’s surface using sensors mounted on e.g. satellites and in-situ instruments. By incorporating advancements from computer vision (CV) on EO data, GeoAI finds extensive applications in human dynamics, precision agriculture, disaster management, humanitarian assistance, and national security. Unlike traditional natural images used in CV benchmarks, EO data presents unique characteristics and challenges that include spatial & temporal awareness, data volumes & diversity, and multimodal reasoning. Importantly, appropriately addressing these challenges hold the potential for groundbreaking applications benefiting human and environmental well-being.


Outcomes targeted by this 1st Workshop on Computer Vision for Earth Observation (CV4EO) Applications at WACV’24 include promoting the exchange between computer vision researchers with experts from geoscience domains, as well as bridging the gap between computer vision base research with government agencies (problem owners), national laboratories (applied science) and industry (data providers and solution deployment) in the context of challenges and opportunities related to image understanding methods for EO applications. Since applications include humanitarian assistance, disaster response, precision agriculture, national security missions, environment monitoring, promoting the collaboration across all involved parties can greatly benefit the development of CV-enabled tools that can effectively inform decision making for such cases potentially having direct impact on lives and the environment.

The workshop aims to achieve the following goals: