AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery

Prasai, Suraj; Cui, Kangning; Zhu, Rongkun; Alqahtani, Sarra; Zhang, Ying; Pauca, Victor Paúl; Silman, Miles R.; Yang, Fan

doi:10.24963/ijcai.2026/986

AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery

Suraj Prasai, Kangning Cui, Rongkun Zhu, Sarra Alqahtani, Ying Zhang, Victor Paúl Pauca, Miles R. Silman, Fan Yang

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Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Demo Track. Pages 8487-8491.

https://doi.org/10.24963/ijcai.2026/986

Keywords

AI: Multidisciplinary Topics and Applications
AI: Natural Language Processing
AI: Computer Vision
AI: Knowledge Representation and Reasoning

Abstract

Forest imagery analysis often involves multiple tightly coupled vision tasks, which must be performed under substantial variation in geographic regions, sensors, and acquisition conditions. However, practitioners often lack a unified tool that is geospatial-native, cloud-optimized, and ML-integrated for end-to-end workflows spanning annotation, prediction, visualization, and downstream analysis at scale. We present AwakeForest, an interactive end-to-end platform designed for large-scale forest imagery that integrates model-assisted inference, automatic annotation, and human-in-the-loop refinement within a single workflow. Our platform supports plug-and-play integration of pretrained models and enables scalable interaction with forest imagery ranging from standard aerial scenes to large orthomosaics that can span several gigabytes to hundreds of gigabytes. AwakeForest produces analysis-ready outputs that can be directly used for downstream analysis and to support iterative model and annotation updates on new scenes. We demonstrate the system on the PALMS dataset and illustrate how AwakeForest supports an end-to-end workflow for practical forest management and analysis.

Suraj Prasai, Kangning Cui, Rongkun Zhu, Sarra Alqahtani, Ying Zhang, Victor Paúl Pauca, Miles R. Silman, and Fan Yang. 2026. AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery. In Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26. IJCAI, 8487–8491. https://doi.org/10.24963/ijcai.2026/986

@inproceedings{ijcai2026p986,
  title     = {AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery},
  author    = {Prasai, Suraj and Cui, Kangning and Zhu, Rongkun and Alqahtani, Sarra and Zhang, Ying and Pauca, Victor Paúl and Silman, Miles R. and Yang, Fan},
  booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-26}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Diego Calvanese},
  pages     = {8487--8491},
  year      = {2026},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2026/986},
  url       = {https://doi.org/10.24963/ijcai.2026/986},
}

TY  - CPAPER
TI  - AwakeForest: An Interactive Geospatial Platform for Large-Scale Forest Imagery
AU  - Prasai, Suraj
AU  - Cui, Kangning
AU  - Zhu, Rongkun
AU  - Alqahtani, Sarra
AU  - Zhang, Ying
AU  - Pauca, Victor Paúl
AU  - Silman, Miles R.
AU  - Yang, Fan
T2  - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2026
SP  - 8487
EP  - 8491
DO  - 10.24963/ijcai.2026/986
UR  - https://doi.org/10.24963/ijcai.2026/986
ER  -