 - Home_files/landsat_hk.png)
|
This site moved to https://xzhu-lab.github.io/ on 14 Nov 2024.
Polyu Remote sensing Intelligence for Dynamic Earth (PRIDE) lab is led by Dr. Xiaolin Zhu. PRIDE research interests lie in the development of remote sensing based geospatial intelligence, and applications of such intelligent technologies to characterize dynamic Earth processes, understand the problems of environmental changes and seek solutions for a sustainable Earth. Research areas in PRIDE lab include satellite images processing, data fusion, time-series data analysis, nighttime light remote sensing, image classification, change detection, vegetation and urban remote sensing. Research in PRIDE was funded by RGC (ECS, GRF) and NSFC China's Excellent Young Scientists Fund (国家自然基金委优青(港澳)).
Pride lab invites outstanding students and researchers to join:
- PhD scholarship: www.polyu.edu.hk/gs/prospective-students/hkpfs/
- Master programme: https://www.polyu.edu.hk/lsgi/study/taught-postgraduate-programmes/
- Postdoc and Research Assistant positions: Please contact Dr. Xiaolin Zhu
News
8 June 2023: Our lab published a new paper in Remote Sensing of Environmentto remove clouds on daily nighttime light images: https://www.sciencedirect.com/science/article/pii/S0034425723002092
29 November 2022: Our lab published a new paper in Remote Sensing of Environmentto map paddy fields in cloudy areas with a newly designed index from SAR time series: https://doi.org/10.1016/j.rse.2022.113374
24 March 2022: Our lab published a new paper that proposed a new method to assess performance of data fusion from multiple aspects in Remote Sensing of Environment: www.sciencedirect.com/science/article/pii/S003442572200116X. The code of this method can be downloaded from github.com/XZhu-lab/Fusion-accuracy-assessment
1 March 2022: Our PhD student Miss Xiaoyue Tan won the first-place in the AAG Student Honors Paper Competition: www.polyu.edu.hk/lsgi/news-and-events/news/2022/0302-lsgi-phd-student-won-the-aag-student-honors-paper-competition/
15 December 2021: Our lab published a new paper in Remote Sensing of Environmentto explain the mechanism of angular effects of nighttime light observations from space: www.sciencedirect.com/science/article/pii/S003442572100554X
5 October 2021: Dr. Zhu received Dean's Awards for Outstanding Young Researchers 2021: www.polyu.edu.hk/fce/eBulletin/public/issue131/content131/#ra03
14 August 2021: Our lab published a new paper that investigated how to smooth satellite VI time series for accurately detecting vegetation phenology on ISPRS Journal of Photogrammetry and Remote Sensing: www.sciencedirect.com/science/article/pii/S0924271621002033
... 26 January 2021: We collaborated with researchers from UConn to develop a meso-scale mathematical model to assess the effectiveness of social distance on the COVID-19 transmission across townships. This model was published in IJGIS: www.tandfonline.com/doi/full/10.1080/13658816.2021.1873999 and reported by Uconn Today: today.uconn.edu/2021/01/uconn-researcher-develops-town-level-model-for-covid-19-in-connecticut/
4 December 2020: Dr. Zhu joined the Editorial Board of National Remote Sensing Bulletin (遥感学报). Journal of Remote Sensing is a top journal in the field of remote sensing in China. It publishes research articles in either Chinese or English: www.jors.cn/jrs/ch/index.aspx
22 September 2020: Dr. Zhu received China's Excellent Young Scientists Fund: www.polyu.edu.hk/en/media/media-releases/2020/0922_four-polyu-young-researchers-receive-china-excellent-young-scientists-fund-2020/
7 September 2020: Dr. Zhu joined the Editorial Board of Science of Remote Sensing. Science of Remote Sensing is part of the Remote Sensing of Environment family of journals. This journal focuses on publishing high impact science and applications using state-of-the-art remote sensing techniques: www.journals.elsevier.com/science-of-remote-sensing/editorial-board/dr-xiaolin-zhu
29 August 2020: Our lab published a new paper that investigated the impact of urbanization on winter wheat spring phenology on Agricultural and Forest Meteorology. The paper can be downloaded from https://authors.elsevier.com/a/1bf6GcFXJWMtM
2 April 2020: Python code of NSPI time series algorithm and a python package including all codes needed for automatically reconstructing high-quality time-series data are available: https://xzhu-lab.github.io/Pride/Open-Source-Code.html
28 May 2019: The Matlab code of SEAM algorithm for adjusting blooming effects in DMSP nighttime light images is available: https://xzhu-lab.github.io/Pride/Open-Source-Code.html
1 June 2018: The new cloud detection method was reported by NASA: landsat.gsfc.nasa.gov/article/data-record-tropical-forest-monitoring-extended-new-cloud-detection-method. This method was recently published in Remote Sensing of Environment: https://doi.org/10.1016/j.rse.2018.05.024
29 November 2022: Our lab published a new paper in Remote Sensing of Environmentto map paddy fields in cloudy areas with a newly designed index from SAR time series: https://doi.org/10.1016/j.rse.2022.113374
24 March 2022: Our lab published a new paper that proposed a new method to assess performance of data fusion from multiple aspects in Remote Sensing of Environment: www.sciencedirect.com/science/article/pii/S003442572200116X. The code of this method can be downloaded from github.com/XZhu-lab/Fusion-accuracy-assessment
1 March 2022: Our PhD student Miss Xiaoyue Tan won the first-place in the AAG Student Honors Paper Competition: www.polyu.edu.hk/lsgi/news-and-events/news/2022/0302-lsgi-phd-student-won-the-aag-student-honors-paper-competition/
15 December 2021: Our lab published a new paper in Remote Sensing of Environmentto explain the mechanism of angular effects of nighttime light observations from space: www.sciencedirect.com/science/article/pii/S003442572100554X
5 October 2021: Dr. Zhu received Dean's Awards for Outstanding Young Researchers 2021: www.polyu.edu.hk/fce/eBulletin/public/issue131/content131/#ra03
14 August 2021: Our lab published a new paper that investigated how to smooth satellite VI time series for accurately detecting vegetation phenology on ISPRS Journal of Photogrammetry and Remote Sensing: www.sciencedirect.com/science/article/pii/S0924271621002033
... 26 January 2021: We collaborated with researchers from UConn to develop a meso-scale mathematical model to assess the effectiveness of social distance on the COVID-19 transmission across townships. This model was published in IJGIS: www.tandfonline.com/doi/full/10.1080/13658816.2021.1873999 and reported by Uconn Today: today.uconn.edu/2021/01/uconn-researcher-develops-town-level-model-for-covid-19-in-connecticut/
4 December 2020: Dr. Zhu joined the Editorial Board of National Remote Sensing Bulletin (遥感学报). Journal of Remote Sensing is a top journal in the field of remote sensing in China. It publishes research articles in either Chinese or English: www.jors.cn/jrs/ch/index.aspx
22 September 2020: Dr. Zhu received China's Excellent Young Scientists Fund: www.polyu.edu.hk/en/media/media-releases/2020/0922_four-polyu-young-researchers-receive-china-excellent-young-scientists-fund-2020/
7 September 2020: Dr. Zhu joined the Editorial Board of Science of Remote Sensing. Science of Remote Sensing is part of the Remote Sensing of Environment family of journals. This journal focuses on publishing high impact science and applications using state-of-the-art remote sensing techniques: www.journals.elsevier.com/science-of-remote-sensing/editorial-board/dr-xiaolin-zhu
29 August 2020: Our lab published a new paper that investigated the impact of urbanization on winter wheat spring phenology on Agricultural and Forest Meteorology. The paper can be downloaded from https://authors.elsevier.com/a/1bf6GcFXJWMtM
2 April 2020: Python code of NSPI time series algorithm and a python package including all codes needed for automatically reconstructing high-quality time-series data are available: https://xzhu-lab.github.io/Pride/Open-Source-Code.html
28 May 2019: The Matlab code of SEAM algorithm for adjusting blooming effects in DMSP nighttime light images is available: https://xzhu-lab.github.io/Pride/Open-Source-Code.html
1 June 2018: The new cloud detection method was reported by NASA: landsat.gsfc.nasa.gov/article/data-record-tropical-forest-monitoring-extended-new-cloud-detection-method. This method was recently published in Remote Sensing of Environment: https://doi.org/10.1016/j.rse.2018.05.024
Last updated: