Professor Shunlin LIANG

Education:

Professor Liang received his BS and MS degrees from Nanjing University and Ph.D degree from Boston University.

Impact:

Prof Liang has published over 430 peer-reviewed papers in English journals, along with eight English books, five of which have been translated into Chinese and published in China. He serves as the Editor-in-Chief of Science of Remote Sensing and has previously served as the Editor-in-Chief of the nine-volume book series "Comprehensive Remote Sensing" (Elsevier, 2017). Currently, he is working on the second edition of this book series as the Editor-in-Chief. He has also held positions such as Associate Director of the State Key Laboratory of Remote Sensing Sciences and Dean of the School of Geography at Beijing Normal University, China.

He has led the development of several high-level satellite products, including the Global LAnd Surface Satellite (GLASS) product suite that is freely available at www.glass.hku.hk and www.geodata.cn. These products have been widely used worldwide.

Research Interest:

• Remote sensing physical modeling and inversion

• Global satellite product generation

• Earth’s Energy Budget

• Global and regional environmental changes

Publications:

Books

Liang, S., Quantitative Remote Sensing of Land Surfaces, John Wiley and Sons, Inc., 534 pages, ISBN #: 0-471-28166-2, 1st edition, 2004. Its expanded version in Chinese was published by Science Press, Beijing, Feb. 2009, ISBN #:978-7-03-023742-2, 388 pages.

Liang, S., Z. Xiao, X. Zhang, Q. Liu, J. Cheng, and X. Zhao, Global LAnd Surface Satellite (GLASS) Products: Algorithms, Validation and Analysis, Springer, ISBN-10: 3319025872 | ISBN-13: 978-3319025872, 2013, 1st edition. The expanded version in Chinese was published by High Education Press, Beijing,  ISBN#: 9787040403299 , 203 pages , July 2014.

J. Wang, Liang, S., Shi, P., Geography of Contemporary China, Springer, 456 pages,  ISBN 978-3-031-04157-0, ISBN 978-3-031-04158-7 (eBook), 2022, 1st edition

Books Edited

Liang, S., (Editor), Advances in Land Remote Sensing: System, Modeling, Inversion and Application, Springer, ISBN #: 978-1-4020-6449-4, 2008. 1st edition.

Liang, S., X. Li, and J. Wang, (Editors), Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Academic Press, 800 pages,  ISBN#: 9780123859556, August 2012., 1st edition

Liang, S., X. Li, and X. Xie (Editors), Land Surface Observation, Modeling and Data Assimilation, World Scientific, ISBN#: 978-981-4472-60-9, 2013. 1st  edition

Liang, S., J. Zhang, L. Chen, X. Zhao, and J. Yang, (Ed.), Global land and Ocean Surface Remote Sensing Products Generation and Applications (in Chinese), Science Press, Beijing, March, 2017

Liang, S., (Editor), Earth’s Energy Budget, Vol. 5 in Comprehensive Remote Sensing, Elsevier, Nov. 2017

Liang, S. and J. Wang, (Editors), Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Academic Press/Elsevier, Edition 2e, 1010 pages, Nov. 2019, ISBN-10: 0128158263

Liang, S., (Editor), Global Land Climate Data Records: Production, amalysis and applications (in Chinese), Science Press, Beijing, expected to be published in August 2024

Book Series Edited

Liang, S.,  (Editor-in-chief), Comprehensive Remote Sensing, nine volumes, Elsevier, Nov. 2017, ISBN: 978-0-12-803221-3, 1st edition

Book Chapters (in English) - examples

Wu, J., Chen, B., Reynolds, G., Xie, J., Liang, S., O'Brien, M. J., & Hector, A. (2020). Chapter Three - Monitoring tropical forest degradation and restoration with satellite remote sensing: A test using Sabah Biodiversity Experiment. In A. J. Dumbrell, E. C. Turner, & T. M. Fayle (Eds.), Advances in Ecological Research Vol. 62, 117-146: Academic Press.

Liang, S., J. Wang, B. Jiang, (2019), A Systematic View of Remote Sensing, in Advanced Remote Sensing: Terrestrial Information Extraction and Applications, 2nd Edition, Liang, S .and  J. Wang (eds), Chapter 1, 1-60, Academic Press/Elsevier.

Zhao, X., X. Zhang, X. Tian, H. Wang, Q. Liu, S. Liang, (2019), Atmospheric Correction of Optical Imagery, in Advanced Remote Sensing: Terrestrial Information Extraction and Applications, 2nd Edition, Liang, S. and J. Wang (eds), Chapter 4, 132-157, Academic Press/Elsevier

Edited journal special issues - examples

Zhang, H., G. Camps-Valls, S. Liang, G. Tuia, Z. Zhu (Guest editors), special issue “Advancing deep learning for time series analysis”, Remote Sensing of Environment, 2022-2023.

Roujean, J.-L., Liang, S., & He, T.  (Guest Editors),  Special Issue:“Remotely Sensed Albedo”. Remote Sensing, 11(16), 1941, 2019. Liang, S., Q. Liu, G. Yan, J. Shi, and J. Kerekes (Guest Editors), special issues “Recent Progress in Quantitative Land Remote Sensing: Modeling and Estimation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(2), 2019

Edited conference proceedings

Schaepman, M.E., Liang, S., Groot, N.E., Kneubühler, M., (Editors), (2007), Proceedings of the 10th International Symposium on Physical Measurements and Spectral Signatures in Remote Sensing (ISPMSRS'07), March 12-14, 2007, Intl. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI, Part 7/C50, ISPRS, Davos (CH), 620pp, ISSN 1682-1777.

Liang, S., J. Liu, X. Li, R. Liu, and M. Schaepman, (Editors), Proceedings of the 9th International of Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS), Oct. 17-19, 2005, Beijing, China, two volumes, 845pp, ISSN 1682-1750. 

Articles in Refereed Journals - examples

Zhang, G*., Liang, S., Ma, H., He, T., Yin, G., Xu, J., Liu, X., & Zhang, Y. (2024). Simultaneous estimation of five temporally regular land variables at seven spatial resolutions from seven satellite data using a multi-scale and multi-depth convolutional neural network. Remote Sensing of Environment, 301, 113928

Liu, X*., S. Liang, et al., (2024), Landsat-Observed Changes in Forest cover and attribution analysis over Northern China from 1996‒2020, GIScience  Remote Sen., DOI: 10.1080/15481603.2023.2300214

Ma, Y#, He, T., Aguilar, C., Pimentel, R., Liang, S., McVicar, T.R., Hao, D., Xiao, X., & Liu, X. (2024). Evaluating Topographic Effects on Kilometer-Scale Satellite Downward Shortwave Radiation Products: A Case Study in Mid-Latitude Mountains. IEEE Transactions on Geoscience and Remote Sensing, 62, 1-16.

Guo, X., Yao, Y., Tang, Q., Liang, S., Shao, C., Fisher, J.B., Chen, J., Jia, K., Zhang, X., Shang, K., Yang, J., Yu, R., Xie, Z., Liu, L., Ning, J., & Zhang, L. (2024). Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm. Agricultural and Forest Meteorology, 349, 109962.

Cao, Y., Yin, M., Tian, J., & Liang, S. (2024). Increased summertime wildfire as a major driver of the clear-sky dimming in the Siberian Arctic from 2000 to 2020. Atmospheric Research, 306, 107458.