Special Issue "Satellite Mapping Technology and Application"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (28 February 2014)
Prof. Dr. Xinming Tang
Satellite Surveying and Mapping Application Center (SASMAC), National Administration of Surveying, Mapping and Geoinformation(NASG), National Geographic Information Technology Industrial Park, Airport East Road, Shunyi, Beijing, China
Phone: +86 10 81887868
Fax: +86 10 88187800
Interests: new theory, method and application of remote sensing and geographical information science; Fuzzy Spatial Factor Model; Spatio-Temporal Analysis; key technology of satellite surveying and mapping
Satellite mapping is an important component of modern mapping technology. As one of the representatives of high-precision remote sensing satellites, high-resolution mapping satellites serve as the main driven force for promoting the geo-information industry. Great achievements have been made recently in the construction of earth-observation satellite system, in the post-launch calibration of satellite sensors and in the development of the corresponding data processing techniques, leading to tremendous progress in satellite mapping, resources management, disaster monitoring, and many other application areas. Nowadays, international cooperation becomes more and more frequent, to promote joint construction and sharing of satellite data, products and related technologies, and to explore the international market for satellite data products application and services.
The International Symposium on Satellite Mapping Technology and Application (ISSMTA 2013) will be held in Nanjing, China on 6-8 November 2013. The symposium is hosted by the Secretariat of the United Nations Global Geospatial Information Management (UN-GGIM), International Society for Photogrammetry and Remote Sensing (ISPRS), and National Administration of Surveying, Mapping and Geoinformation (NASG) of China.
The symposium and the proposed special issue aim to focus on satellite mapping technology and application at a number of scales, and will provide a set of papers that will be of great reference for people engaged in the development of satellite mapping technology and application service level. We invite you to submit articles on the following topics:
• Tendency of Satellite Mapping Technology
• System Construction of Earth Observation Satellites
• Application of BeiDou Navigation Satellite System
• Geometric Calibration & Radiometric Correction of Optical Imaging Satellites
• Data Processing Technology of ZY-3 (as well as other Mapping Satellites)
• Application of High-resolution Optical Satellite Imagery
• Strategic Cooperation Mechanism of Satellite Mapping Technology
Dr. Xinming Tang
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
Article: Topographic Correction of ZY-3 Satellite Images and Its Effects on Estimation of Shrub Leaf Biomass in Mountainous Areas
Remote Sens. 2014, 6(4), 2745-2764; doi:10.3390/rs6042745
Received: 27 November 2013; in revised form: 10 March 2014 / Accepted: 13 March 2014 / Published: 26 March 2014| Download PDF Full-text (4291 KB)
Article: Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China
Remote Sens. 2014, 6(2), 1026-1056; doi:10.3390/rs6021026
Received: 27 November 2013; in revised form: 7 January 2014 / Accepted: 10 January 2014 / Published: 27 January 2014| Download PDF Full-text (1367 KB) | Download XML Full-text
Remote Sens. 2014, 6(1), 157-179; doi:10.3390/rs6010157
Received: 3 November 2013; in revised form: 9 December 2013 / Accepted: 10 December 2013 / Published: 20 December 2013| Download PDF Full-text (4504 KB) | View HTML Full-text | Download XML Full-text
Last update: 30 July 2013