Intelligent Remote-sensing Information Systems & Applications

IRIS focuses on intelligent remote-sensing perception, information processing, and application services. We connect observation, understanding, and application to address scientific questions, develop data products, and meet real-world needs.

“IRIS” stands for Intelligent Remote-sensing Information Systems & Applications. Our research spans ready-to-use (RTU) remote-sensing products and services, intelligent processing and information mining, remote sensing for human well-being, and remote-sensing big data engineering and applications. We work to advance intelligent, operational, and applied remote-sensing technologies.

Latest News

Website Launch: IRIS homepage is live (Example)

The IRIS homepage is now live, with publications, projects, resources, and news to be updated continuously.

Guojin He's team's global 30 m burned area product supports a Nature study

The long-term global 30 m burned area product GABAM provided key data for quantifying tropical forest carbon losses in a Nature paper.

Guojin He's team's global 30 m burned area product supports a Nature study
The global annual 30 m burned area dataset (GABAM) for 1985–2024 is now available for free download

The GABAM dataset provides global annual burned area maps at 30 m resolution for 1985–2024, available for free download.

The global annual 30 m burned area dataset (GABAM) for 1985–2024 is now available for free download

Latest Publications

Landscape pattern zoning-based classification for high-resolution orchard mapping in heterogeneous agricultural landscapes
Wang, Zhi Hua, Zeng, Xiao Wei, Liu, Yue Ming, Wang, Meng Meng, Zhang, Jun Yao, Liu, Xiao Liang, Dai, Jian Wang, Wang, Xiao Fan, Fang, Zheng, Gao, Ku, Long, Teng Fei, Yang, Xiao Mei
ISPRS Journal of Photogrammetry and Remote Sensing · Dec 2026
Developing 30 m resolution monthly burned area products in africa (2017–2025)
Huang, Shunguo, Zhang, Zhaoming, Long, Tengfei, He, Guojin, Wang, Guizhou, Zhang, Hongxuan, Yu, Hailong
Remote Sensing of Environment · Oct 2026
A 30-m resolution dataset of forest cover dynamics in China from 1990 to 2020
Peng, Xue Li, He, Guo Jin, Wang, Gui Zhou, Yin, Ran Yu, Yang, Rui Qing, Peng, Yan, Long, Teng Fei, Zhang, Zhao Ming, Wang, Jian Ping
Scientific Data · Oct 2026
Beyond tessellation: AI-derived choroidal vessel density on multi-channel cSLO as a surrogate biomarker for OCT choroidal parameters
Yao, Yu Ou, Wang, Xi, Long, Teng Fei, Li, Chao Hong, Ling, Sai Guang, Jin, En Zhong, Sun, Yao Yao, Su, Shi Rong, Xiong, Jian Yu, Tang, Ji Yang, Meng, Xiang, Cai, Yi, Zeng, Qiao Zhu, Li, Heng, Miao, Heng
Frontiers in Medicine · Oct 2026
A vision-language model-driven spatiotemporal alignment framework for mitigating cross-sensor inconsistencies in real-world remote sensing image super-resolution
Mao, Yujie, He, Guojin, Wang, Guizhou, Yin, Ranyu, Chen, Ziying, Guan, Bin, Zhang, Hongxuan, An, Shihao
International Journal of Digital Earth · Aug 2026
Fairly assessing nighttime urban cooling performance with a novel satellite-based index
Ye, Long, Long, Tengfei, Jiao, Weili, Adam, Elhadi, Chu, Lixia, He, Guojin, Zhang, Zhaoming, Wang, Guizhou
Sustainable Cities and Society · May 2026
SAM-assisted weakly supervised semantic segmentation framework for plastic greenhouses mapping using high resolution imagery
Zhang, Xiaoping, Cheng, Bo, Liang, Chenbin, Zhao, Min, Yang, Ruiqing, Wang, Guizhou
International Journal of Applied Earth Observation and Geoinformation · May 2026
Seed-driven grid adaptation method: A prior-guided active learning framework for impervious surface mapping on the qinghai–xizang plateau using google satellite embeddings
Zheng, Kaiyuan, He, Guojin, Yin, Ranyu, Wang, Guizhou
Remote Sensing · May 2026

Contact Us

  • Email: longtf@aircas.ac.cn
  • Location: 9 Dengzhuang South Road, Haidian District, Beijing, China