Spatiotemporal Fusion of Multi-Source Remote Sensing Data and Its Applications

Scope

The richly archived and constantly updated remote sensing data of various spatiotemporal resolutions provide unprecedented opportunities to monitor the dynamic Earth. Meanwhile, the rapid development of artificial intelligence and cloud computing platforms has made it highly feasible to access and process massive remote sensing data from diverse sources. Nevertheless, due to the trade-off between spatial resolution and revisit frequency, satellite images from single source typically do not meet the needs of monitoring changes occurring on heterogeneous land surfaces. To solve this problem, spatiotemporal data fusion has been developed as a feasible and low-cost solution for obtaining the dataset that integrates different remote sensing data with unique spatial resolution or temporal resolution advantages. Research on spatiotemporal data fusion has boomed in the recent decade because it expands the scope of data applications, spawning almost one hundred algorithms.

This special issue aims to compile the latest developments in research on the fusion of multi-source remote sensing data. We welcome contributions from academic papers developing spatiotemporal fusion algorithms and their use in ecology, agriculture, and other domains. Topics of interest include:

• Spatiotemporal data fusion algorithms
• Spatiotemporal data fusion review
• Methods of data preprocessing for spatiotemporal fusion
• Uncertainty analysis of spatiotemporal fusion
• Validation of spatiotemporal fusion products
• Feasibility assessment of spatiotemporal data fusion
• Applications of spatiotemporal data fusion

Guest Editors

Jin Chen, Beijing Normal University, China

Jin Chen is a Professor in the faculty of geographical science at Beijing normal university, China. He holds B.Sc. and MSc in 1989 and 1992 from Beijing normal university in China, and Ph.D. in 2000 from Kyushu University in Japan. He has four years of postdoctoral experience at the University of California, Berkeley and the National institute for environmental studies in Japan. His main research interest is the development and the validation of algorithms for land cover/land use mapping and land surface phenology (LSP). He has published over 190 papers in refereed SCI journals, which are cited over 12000 times in the scientific literature (Web of Science). He is an Editorial Board member of Remote Sensing of Environment and Associate Editor for National Remote Sensing Bulletin.

Peter M. Atkinson, Lancaster University, UK

Peter M. Atkinson received his Ph.D. degree from the University of Sheffield (NERC CASE award with Rothamsted Experimental Station) in 1990. More recently, he received the MBA degree from the University of Southampton in 2012. He is currently Distinguished Professor of Spatial Data Science and Executive Dean of the Faculty of Science and Technology at Lancaster University, UK. He was previously Professor of Geography at the University Southampton, where he is currently Visiting Professor. He was also previously Visiting Professor at the Chinese Academy of Sciences, Beijing and held the Belle van Zuylen Chair at Utrecht University, the Netherlands, is a recipient of the Peter Burrough Award of the International Spatial Accuracy Research Association and is a Fellow of the Learned Society of Wales. The main focus of his research is in remote sensing, geographical information science and spatial (and space-time) statistics applied to a range of environmental science and socio-economic problems. He has published over 350 peer-reviewed articles in international scientific journals and around 50 refereed book chapters. He has also more than 10 journal special issues and eight books. Professor Atkinson is Editor-in-Chief of Science of Remote Sensing, a sister journal of Remote Sensing of Environment. He also sits on the editorial boards of several further journals including Geographical Analysis, Spatial Statistics, International Journal of Applied Earth Observation and Geoinformation, and Environmental Informatics.

Qunming Wang, Tongji University, Shanghai, China

Qunming Wang is currently a Professor in the College of Surveying and Geo-Informatics, Tongji University, Shanghai, China. He received the Ph.D. degree from the Hong Kong Polytechnic University, Hong Kong, in 2015. He was a Lecturer (Assistant Professor) with Lancaster Environment Centre, Lancaster University, Lancaster, U.K., from 2017 to 2018, where he is currently a Visiting Professor. His 3-year Ph.D. study was supported by the hypercompetitive Hong Kong Ph.D. Fellowship and his Ph.D. thesis was awarded as the Outstanding Thesis in the Faculty. He has authored or coauthored 70 peer-reviewed articles in international journals. His research interests include remote sensing, image processing, and geostatistics. He is an Editorial Board member of Remote Sensing of Environment, and Associate Editor for Science of Remote Sensing and Photogrammetric Engineering & Remote Sensing.

Xiaolin Zhu, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Xiaolin Zhu received his BSc in 2007 and MSc in 2010, both from Beijing Normal University. He received his PhD in geography at the Ohio State University in 2014. He did postdoctoral research at Colorado State University and University of California, Davis in 2015 and 2016 respectively. He is currently an Assistant Professor at The Hong Kong Polytechnic University. He received the Robert N. Colwell Memorial Fellowship Award from the American Society of Photogrammetry and Remote Sensing, and the Li Xiaowen excellent young scholar award. His research interests include satellite images processing, data fusion, time-series data analysis, nighttime light remote sensing, image classification, change detection, vegetation and urban remote sensing. He has published over 90 papers in international journals, which are cited over 4500 times (Web of Science). He is an Editor for Science of Remote Sensing and National Remote Sensing Bulletin.

Huanfeng Shen, Wuhan University, Wuhan, China

Huanfeng Shen received his B.S. degree in Surveying and Mapping Engineering and his Ph.D. degree in Photogrammetry and Remote Sensing from Wuhan University, Wuhan, China, in 2002 and 2007, respectively. He is currently a Distinguished Professor with Wuhan University, where he serves as a Dean of the School of Resource and Environmental Sciences. His research interests include remote sensing image processing, multi-source data fusion, and intelligent environmental sensing. He has authored or co-authored more than 200 journal citation report (JCR) papers and published 4 books as Chief Editor. His papers received 11000 citations in Web of Science (WoS) (as of December 2022). He is currently a Senior Regional Editor of Journal of Applied Remote Sensing, and Associate Editor of Geography and Geo-Information Science, Journal of Remote Sensing, and National Remote Sensing Bulletin.

Eileen H. Helmer, International Institute of Tropical Forestry, Río Piedras, Puerto Rico

Eileen H. Helmer is a Research Ecologist at the International Institute of Tropical Forestry in Río Piedras, Puerto Rico, which is a research station of the USDA Forest Service. She received B.S. in Ecology, Ethology and Evolution from University of Illinois, M.S.C.E. in Environmental Engineering and Sciences from University of Minnesota, and PhD in Forest Ecology from Oregon State University. Her research focuses on tropical forest ecology, remote sensing of tropical forest vegetation, disturbance history and biophysical variables and drivers of land-cover change in tropical forest landscapes.

Submission Instructions

Please indicate in your cover letter that your submission is intended for inclusion in the special issue.

Submissions Open: March 1, 2023

Submission Deadline: December 31, 2023