Geospatial Image Analysis is a rapidly developing field at the intersection of computer vision, machine learning, and geospatial imaging technologies. Images acquired from modern geospatial sensors (passive optical, such as multispectral and hyperspectral, as well as active sensing modalities such as LiDAR and Synthetic Aperture Radar) have the potential to support a wide array of applications, including environmental monitoring, climate science, urban modeling, disaster mitigation, etc. Although the potential of geospatial imagery to inform these applications is immense, there are unique challenges posed by the analysis of such imagery for scalable interpretation of geospatial imagery.  These include (but are not limited to) imagery representing a multitude of channels and scales depending on the sensor and the sensing platform (e.g. from drones to satellites), limited ground-truth, exploitation of heterogenous multi-modal imagery (e.g. combining passive optical imagery with Synthetic Aperture Radar and LiDAR measurements), significant domain differences caused by differences in sensors, seasons and/or imaging conditions, etc. 

This workshop will serve as a venue to foster collaborations and cross-fertilization of ideas between research groups in academia and the industry working in the areas of computer vision, machine learning, geospatial imaging and their applications to address pressing societal challenges. It will bring together leading researchers at the intersection of these areas working on both cutting-edge algorithmic approaches, and interesting and compelling applications of great societal interest. In addition to research contributions from the community, this workshop will also feature keynote talks from research leaders in industry and academia who are working at the forefront of computer vision for geospatial image analysis. 

Call for Papers

We invite authors to submit high-quality papers on computer vision and image analysis for geospatial imaging. Submitted manuscripts will be peer-reviewed, and refereed for originality, presentation, empirical results and overall quality. In addition to papers focused on algorithmic novelty, we also encourage papers that demonstrate effective deployment of recent computer vision paradigms to compelling geospatial imaging applications. 

Topics of interest include (but are not limited to):

• Foundation models and large vision Models in Remote Sensing

• Domain generalization and approaches to address out-of-distribution data, including open-set domain adaptation

• Self, Weakly and Unsupervised Approaches for Geospatial Image Analysis

• Uncertainty quantification and explainable machine learning in remote sensing

• Leveraging vision foundation models and multimodal foundation models for tasks such as semantic

• Segmentation, object detection, change and anomaly detection and image classification.

• Multimodal intelligent perception in remote sensing and Earth Observation.

• Applications including ecological monitoring, precision agriculture, sustainable development goals, disaster mapping etc.

Paper Submission: All submissions will be handled electronically through Microsoft CMT. The paper submission link will be available here soon. 

Paper Format: We welcome the following types of papers:

• Regular research papers: We welcome regular/full research papers at the intersection of computer vision and geospatial imaging and its applications. These papers are limited to 8 pages (additional pages allowed for references) and will follow the WACV conference format. Authors should follow the Author Guidelines and use the WACV 2026 Author Kit available here. Accepted regular research papers that are presented at the workshop will be included in the WACV 2026 Workshop proceedings.

• Extended Abstracts: We also welcome extended abstracts that represent emerging and ongoing work at the intersection of computer vision and geospatial imaging and its applications. These must also be submitted through the same CMT system - Accepted abstracts will be presented at the workshop, but they will not be included in the workshop proceedings. 

All manuscripts will be peer-reviewed in a double-blind format, following the WACV format.

Manuscript Submission

Both regular papers and abstracts should be submitted via Microsoft CMT.
CMT Link for Paper Submission: The paper submission link will be available shortly. 

Organizers

Important Dates

Deadline for Paper Submissions: November 30, 2025
Paper Decisions Announced: December 30, 2025
Camera Ready Paper Submission: January 9, 2026
Workshop Date: 6-7 March, 2026

Keynote Speakers

Stay Tuned. We will be announcing our keynote speakers shortly. 

Workshop Program

Workshop program will be finalized after the peer review period

Past Workshops: 

GeoCV @ WACV 2025: 

The program for the workshop is now available here, and the workshop proceedings are now available here: https://openaccess.thecvf.com/WACV2025_workshops/GeoCV