Special Issue on Advanced Applications of Meteorological Satellite Observations in Ecological Remote Sensing
Special Issue on Advanced Applications of Meteorological Satellite Observations in Ecological Remote Sensing
Call for Papers
In past decades, the satellite observations have been widely used for environmental monitoring. In 2018, CMA national ecological remote sensing annual report first time claims that the national vegetation coverage increases 3.7%/year during 2000 to 2017. Meanwhile, the aerosol optical depth and other pollutants declines by 19.3% with respect to the mean of 16 years from 2003 to 2018. On 2/16/2019, NASA also reported the world is getting greener and thanks the tree planning and agriculture in China and India. In the past, there is skepticism that earth greening from satellite observations may be either a result of degradation of satellite instrument performance or stitching of satellite data from a series of instruments. This special issue will present the state-of-the art remote sensing algorithms and satellite products used for the national ecological monitoring. The scientists who are contributing to this special issue are the lead experts in satellite instrument calibration, algorithm developments and product applications.
The special issue will lay a solid foundation of utilizing the Chinese meteorological satellites for the national ecological remote sensing and environmental monitoring. Some of studies will also discuss the Chinese ecological variability and its connections with weather and climate changes. Papers for this special issue are solicited for, although not limited to, the following topics:
1. Remote sensing fundamentals of land and ocean products from satellites
2. Atmospheric air quality products from satellites
3. Applications of satellite derived products for monitoring of ecological environment
4. Impacts of meteorological conditions and climate variability on ecology
Contributions from authors in and out of China are warmly welcome and encouraged. In support of the publication of this special issue, publication charges of innovative, well-written papers will be waived, pending on the scores and comments of the handling Editor/reviewers and the Responsible Editors Team of this special issue; and three best papers will be awarded with certificates and cash prizes. Contributions from both Chinese and overseas authors are well encouraged.
Responsible Lead Editors for the Special Issue:
Fuzhong,Weng, Chinese Academy of Meteorological Sciences, Fuzhong.email@example.com
Dr. Fuzhong Weng graduated from the Department of Atmospheric Sciences (CSU) of Colorado State University in 1992, Fellow of the American Meteorological Society, Professor and Director of the Joint Research Center for Satellite Research and Applications of the Chinese Academy of Meteorological Sciences. During his tenure at the National Oceanic and Atmospheric Administration (NOAA) 1992-2018, he served as Director of the US Department of Satellite Meteorology and Climate, Chief Scientist, General Radiation Transfer Model (CRTM), Chairman of the United States Joint Polar Satellite System (JPSS) instrument. He has won several US national awards such as the 2000 NOAA David Johnson Award, the 2005 US Department of Commerce Gold Award, and the NOAA First Prize. He led the development of the US NOAA/NASA/DoD Community Radiative Transfer Model (CRTM), which is widely used in satellite data assimilation, instrument calibration and remote sensing applications. His achievements in CRTM won the 2009 National Oceanic and Atmospheric Administration's Science and Technology Award. He has published more than 297 papers in international journals, 9 book chapters and special issues, and a monograph (Weng, F., 2017: Passive microwave remote sensing of the earth for meteorological applications, 420pp, Wiley Series in Atmospheric Physics and Remote Sensing, Wiley). He is the co-chief editor of the Chinese Journal of Meteorological Research.
Jun Yang, National Satellite Meteorological Center, firstname.lastname@example.org
Jun Yang is the Director-in-general of the National Satellite Meteorological Center, member of the China Aerospace Society, member of the Chinese Meteorological Society, chair of the Chinese Satellite Meteorology Committee, and co-chair of the satellite expert group of the Basic Systems Committee of the World Meteorological Organization. He has served as the deputy commander and chief commander of the ground application system engineering of Fengyun-1, Fengyu-2 and Fengyun-3 of China, and was selected as a national talent project by the State Council. He has won one first prize, one second prize, 8 provincial and ministerial awards and 8 honors. He has presided over several major projects such as 973, 863, meteorological specialized science projects. In recent years, he has published more than 30 papers in SCI/EI/CSCD and published 3 monographs. He organized the weather demonstration of the meteorological satellite ground application system, project implementation and business operation, and solved a series of technical problems in data acquisition, data processing, product generation, calibration and validation of satellite products. His work has led to the operationalization and quantitative application of meteorological satellites and promoted the global exchange and sharing of meteorological satellite data.
Shihao Tang, National Satellite Meteorological Center, email@example.com
Shihao Tang, professor and director of CRAS(Center of Remote Sensing Applications&Services, National Satellite Meteorological Center, Chinese Meteorological Adminstration. His research interests focus on the algorithm developments of Chinese new-generation meteorological satellite products, the application of satellite data in ecological and environmental monitoring, and the design and implementation of satellite ground application system. He has successively served as chief designer of Application Demonstration System and Product Generation System of FY-3 series satellites, and is awarded the title of "National Excellent Young Meteorological Scientists" and "Young Meteorological Talents" by CMA, respectively.
Xiuzhen Han, National Satellite Meteorological Center, firstname.lastname@example.org
Dr. Xiuzhen Han is the chief engineer of China Fengyun-3 ground application system and also the chief scientist of meteorological service in China Meteorological Administration. The main research directions are satellite ecological remote sensing of surface parameters and products applications, and developments of MAS system of Fengyun meteorological satellite ground application system. She led over more than 10 national and provincial products, and published 2 monographs and published more than 40 papers. Also, she has 6 software copyright and won the first prize and the third prize of the provincial and ministerial level, and was awarded one time by the China Meteorological Administration for advanced meteorological services. She organized the feasibility study report and preliminary design of the Fengyun-3 satellite ground application system project, and first created the SMART operational system and transitioned the system to operational applications in the national meteorological departments. She created the algorithm for monitoring and evaluating cyanobacterial blooms and surface temperature in the inland lakes of China, and developed Fengyun 3D MERSI-II true color images.
Submission open: April 15, 2019
Submission deadline: April 15, 2020
Publication time: As soon as the paper is accepted and edited. The Special Issue in virtual format will be compiled online and the Special Issue in print is available upon request.
Style and format instructions available at http://www.cmsjournal.net:8080/Jweb_jmr/EN/column/column23.shtml
Submission gateway: https://mc03.manuscriptcentral.com/acta-e
Journal of Meteorological Research (JMR), formerly Acta Meteorologica Sinica, is published internationally by the Chinese Meteorological Society and Springer Nature. JMR intends to promote the exchange of scientific and technical innovation and thoughts between Chinese and foreign meteorologists. It covers all fields of meteorology, including observational, modeling, and theoretical research and applications in weather forecasting and climate prediction, as well as related topics in geosciences and environmental sciences.
JMR contains academic papers, research/field program highlights, conference reports, and comprehensive discussions on meteorological research and operation undertaken both in China and worldwide.
For more information about JMR, visit
Assessing the Ecological Quality of Nanjing during Its Urbanization Process by Using Satellite, Meteorological, and Socioeconomic Data
2020, 34(2): 280-293. doi: 10.1007/s13351-020-9150-6Abstract Full Text PDF More CitationXin HANG, Yachun LI, Xiaochun LUO, Min XU, Xiuzhen HAN. Assessing the Ecological Quality of Nanjing during Its Urbanization Process by Using Satellite, Meteorological, and Socioeconomic Data[J]. J. M. R. , 2020, 34(2) : 280-293. doi: 10.1007/s13351-020-9150-6Export: BibTex EndNote
2020, 34(2): 264-279. doi: 10.1007/s13351-020-9136-4
2020, 34(4): 775-785. doi: 10.1007/s13351-020-0027-5
2020, 34(4): 732-747. doi: 10.1007/s13351-020-9203-x
Application of Fengyun-4 Satellite to Flood Disaster Monitoring through a Rapid Multi-Temporal Synthesis Approach
2020, 34(4): 720-731. doi: 10.1007/s13351-020-9184-9
2020, 34(4): 798-805. doi: 10.1007/s13351-020-9186-7Abstract Full Text PDF More CitationWenying YU, Ruipeng JI, Xiuzhen HAN, Long CHEN, Rui FENG, Jinwen WU, Yushu ZHANG. Evaluation of the Biodiversity Conservation Function in Liaohe Delta Wetland, Northeastern China[J]. J. M. R. , 2020, 34(4) : 798-805. doi: 10.1007/s13351-020-9186-7Export: BibTex EndNote
Variations of Vegetation Phenology Extracted from Remote Sensing Data over the Tibetan Plateau Hinterland during 2000–2014
2020, 34(4): 786-797. doi: 10.1007/s13351-020-9211-xAbstract Full Text PDF More CitationYa LIU, Junbang WANG, Jinwei DONG, Shaoqiang WANG, Hui YE. Variations of Vegetation Phenology Extracted from Remote Sensing Data over the Tibetan Plateau Hinterland during 2000–2014[J]. J. M. R. , 2020, 34(4) : 786-797. doi: 10.1007/s13351-020-9211-xExport: BibTex EndNote
Extracting Soil Moisture from Fengyun-3D Medium Resolution Spectral Imager-II Imagery by Using a Deep Belief Network
2020, 34(4): 748-759. doi: 10.1007/s13351-020-9191-xAbstract Full Text PDF More CitationWenwen WANG, Chengming ZHANG, Feng LI, Jiaojie SONG, Peiqi LI, Yuhua ZHANG. Extracting Soil Moisture from Fengyun-3D Medium Resolution Spectral Imager-II Imagery by Using a Deep Belief Network[J]. J. M. R. , 2020, 34(4) : 748-759. doi: 10.1007/s13351-020-9191-xExport: BibTex EndNote
2020, 34(4): 760-774. doi: 10.1007/s13351-020-9178-7
Identifying and Quantifying Pixel-Level Uncertainty among Major Satellite Derived Global Land Cover Products
2020, 34(4): 806-821. doi: 10.1007/s13351-020-9183-x