Next Article in Journal
Estimation of Anonymous Email Network Characteristics through Statistical Disclosure Attacks
Previous Article in Journal
Fuzzy Neural Network-Based Interacting Multiple Model for Multi-Node Target Tracking Algorithm
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(11), 1818;

Modelling of XCO2 Surfaces Based on Flight Tests of TanSat Instruments

State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Spatial Sciences Institute, Dana and David Dornsife College of Letters, Arts, and Sciences, University of Southern California, Los Angeles, CA 90089-0374, USA
Ministry of Education Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Science, Xi’an Jiaotong University, Xi’an 710049, China
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 16 August 2016 / Revised: 25 October 2016 / Accepted: 26 October 2016 / Published: 1 November 2016
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [5005 KB, uploaded 1 November 2016]   |  


The TanSat carbon satellite is to be launched at the end of 2016. In order to verify the performance of its instruments, a flight test of TanSat instruments was conducted in Jilin Province in September, 2015. The flight test area covered a total area of about 11,000 km2 and the underlying surface cover included several lakes, forest land, grassland, wetland, farmland, a thermal power plant and numerous cities and villages. We modeled the column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2) surface based on flight test data which measured the near- and short-wave infrared (NIR) reflected solar radiation in the absorption bands at around 760 and 1610 nm. However, it is difficult to directly analyze the spatial distribution of XCO2 in the flight area using the limited flight test data and the approximate surface of XCO2, which was obtained by regression modeling, which is not very accurate either. We therefore used the high accuracy surface modeling (HASM) platform to fill the gaps where there is no information on XCO2 in the flight test area, which takes the approximate surface of XCO2 as its driving field and the XCO2 observations retrieved from the flight test as its optimum control constraints. High accuracy surfaces of XCO2 were constructed with HASM based on the flight’s observations. The results showed that the mean XCO2 in the flight test area is about 400 ppm and that XCO2 over urban areas is much higher than in other places. Compared with OCO-2’s XCO2, the mean difference is 0.7 ppm and the standard deviation is 0.95 ppm. Therefore, the modelling of the XCO2 surface based on the flight test of the TanSat instruments fell within an expected and acceptable range. View Full-Text
Keywords: TanSat; flight test; XCO2 retrieval; HASM; XCO2 simulation TanSat; flight test; XCO2 retrieval; HASM; XCO2 simulation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhang, L.L.; Yue, T.X.; Wilson, J.P.; Wang, D.Y.; Zhao, N.; Liu, Y.; Liu, D.D.; Du, Z.P.; Wang, Y.F.; Lin, C.; Zheng, Y.Q.; Guo, J.H. Modelling of XCO2 Surfaces Based on Flight Tests of TanSat Instruments. Sensors 2016, 16, 1818.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top