News
| Dec 12, 2024 | I joined as an Editorial Board Member of Photogrammetric Engineering & Remote Sensing (PE&RS), the official journal of the American Society for Photogrammetry and Remote Sensing (ASPRS), established in 1934. (Link) |
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| Dec 9, 2024 | I delivered a presentation entitled Satellite Mapping with AI in Cloudy and Rainy Environments and chaired the session Innovations in Mapping and Spatial Cognition at the First Asian Cartographic Conference (AsiaCarto 2024). (Link) |
| Nov 28, 2024 | Our perspective paper entitled How will AI transform urban observing, sensing, imaging, and mapping? has been published in npj Urban Sustainability (HTML, PDF). Research Spotlight💡: Advances in AI and Earth observation (EO) have transformed urban studies. This perspective paper provides a commentary on how the AI-EO integration offers advancements in urban studies and applications, highlighting its transformative potential while recognizing the need to address key challenges. |
| Oct 27, 2024 | I received the Youth Innovation Award🏆 at The 2nd International Symposium on Geo-Hazards Perception, Cognition, and Prediction (ISGHPCP). (Link) |
| Sep 23, 2024 | Our recent Seamless Flood Mapping paper has been selected by NASA Landsat Science as one of the ‘Select Landsat Publications’ for October 2024! 🛰️🌏 (Link) Citation: Li, Z., Xu, S., Weng, Q., 2024. Beyond clouds: Seamless flood mapping using Harmonized Landsat and Sentinel-2 time series imagery and water occurrence data. ISPRS Journal of Photogrammetry and Remote Sensing, 216, 185-199. (PDF) |
| Aug 4, 2024 | Our new paper entitled Beyond clouds: Seamless flood mapping using Harmonized Landsat and Sentinel-2 time series imagery and water occurrence data has been published in ISPRS Journal of Photogrammetry and Remote Sensing (HTML, PDF, Code). Research Spotlight💡: We developed SeamlessFloodMapper for seamless flood mapping using optical satellite image time series, overcoming cloud cover limitations. Evaluated with Harmonized Landsat and Sentinel-2, it maps floods seamlessly at a 2–3 day interval and 30 m resolution, supporting effective flood monitoring and disaster management. |
| Jul 10, 2024 | I presented our recent study on flood mapping at the 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024) and received a lot of attention (Link). Zhiwei Li, Shaofen Xu, Qihao Weng, 2024. Can we reconstruct cloud-covered flooding areas in harmonized Landsat and Sentinel-2 image time series?, IEEE International Geoscience and Remote Sensing Symposium (IGARSS). pp. 3686-3688. Athens, Greece. (PDF, Poster) |
| Jun 24, 2024 | I co-chaired a session titled ‘Applications of Geospatial Techniques in Urban Environments’ at the Asia Oceania Geosciences Society (AOGS) 21st Annual Meeting (AOGS 2024) with Dr. Cheolhee Yoo (Link). |
| May 10, 2024 | Congratulations to MSc student Huan ZHOU on successfully completing the oral presentation of his dissertation entitled “Unlocking the Potential of Multi-Modal Self-Supervised Learning for Flood Inundation Mapping”.  |
| May 5, 2024 | Our new paper entitled Learning spectral-indices-fused deep models for time-series land use and land cover mapping in cloud-prone areas: The case of Pearl River Delta has been published in Remote Sensing of Environment (HTML, PDF). Research Spotlight💡: An integrated time series mapping method enhances LULC accuracy and frequency in cloud-prone areas using spectral-indices-fused deep learning models and reconstruction techniques. The assessment shows variations in accuracy with different cloud masks, highlighting their importance in LULC mapping. (PAIR News, Blog, WeChat Article) |
| Mar 26, 2024 | Our new book chapter entitled Urban Flooding Monitoring and Management in Geospatial Perspective: Data, Techniques, and Platforms has been published in the book ‘Handbook of Geospatial Approaches to Sustainable Cities‘ (HTML). |
| Mar 16, 2024 | Our abstract entitled CAN WE RECONSTRUCT CLOUD-COVERED FLOODING AREAS IN HARMONIZED LANDSAT AND SENTINEL-2 IMAGE TIME SERIES? has been accepted for presentation in the IGARSS 2024 (Link). |
| Feb 19, 2024 | My authored papers have reached a new milestone, receiving over 2,000 citations according to the statistics in Google Scholar as of February 2024 (Link)! |
| Feb 16, 2024 | Our new paper entitled Transferring Deep Models for Cloud Detection in Multi-Sensor Images via Weakly Supervised Learning has been published in IEEE Transactions on Geoscience and Remote Sensing (HTML, PDF, Datasets). |
| Dec 8, 2023 | Congratulations to MSc students Sukanta BAG and Yim-ting CHEUNG on successfully completing their project oral presentations. Project Title:
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| Nov 10, 2023 | Research assistant Shaofen Xu’s paper entitled Polyline simplification using a region proposal network integrating raster and vector features has been published in GIScience & Remote Sensing (HTML, PDF). |
| Oct 5, 2023 | Our abstract entitled Deep Learning Based Time Series Land Use and Land Cover Mapping in Cloud-Prone Areas has been accepted for oral presentation at the American Geophysical Union (AGU) Fall Meeting 2023 (Link). |
| Sep 25, 2023 | Our two papers entitled Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects (HTML, PDF) and Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery (HTML, PDF) are selected as ESI Highly Cited Papers!  |
| Sep 15, 2023 | I received a grant under the PolyU Postdoc Matching Fund Scheme for research in flood monitoring!  |
| Dec 22, 2022 | Our new paper entitled A fast two-step algorithm for large-area thick cloud removal in high-resolution images has been published in Remote Sensing Letters (HTML, PDF). |
| Jul 4, 2022 | I joined the Department of Land Surveying and Geo-Informatics at The Hong Kong Polytechnic University as a Research Assistant Professor. I am also affiliated with the PolyU JC STEM Lab of Earth Observations led by Prof. Qihao Weng. |
| Apr 28, 2022 | Our new paper entitled Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects has been published in ISPRS Journal of Photogrammetry and Remote Sensing (HTML, PDF, Project). Research Spotlight💡: Explore advancements in cloud and cloud shadow detection for optical satellite imagery. This review delves into feature extraction, algorithmic innovations, and validation methods, emphasizing prospects such as integrating physical models with deep learning to enhance time series image analysis. |
| Dec 23, 2021 | I received a grant from the National Natural Science Foundation of China (NSFC Youth Program). |
| Oct 7, 2021 | Our new paper entitled Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system has been published in International Journal of Applied Earth Observation and Geoinformation (HTML, PDF). |
| Jul 28, 2021 | Our new paper entitled Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images has been published in ISPRS Journal of Photogrammetry and Remote Sensing (HTML, PDF). |
| Mar 22, 2021 | Our new paper entitled Remote Sensing Image Classification Using Deep–Shallow Learning has been published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (HTML, PDF). |
| Apr 20, 2020 | Our new paper entitled Deep learning in environmental remote sensing: Achievements and challenges has been published in Remote Sensing of Environment (HTML, PDF). |
| Apr 19, 2020 | Our new paper entitled Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning has been published in ISPRS Journal of Photogrammetry and Remote Sensing (HTML, PDF). |