RESEARCH ARTICLE

A geospatial web portal for sharing and analyzing greenhouse gas data derived from satellite remote sensing images

  • Hao LIN 1 ,
  • Bailang YU , 1 ,
  • Zuoqi CHEN 1 ,
  • Yingjie HU 2 ,
  • Yan HUANG 1 ,
  • Jianping WU 1 ,
  • Bin WU 1 ,
  • Rong GE 1
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  • 1. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China
  • 2. Department of Geography, University of California Santa Barbara, Santa Barbara, CA 93106, USA

Received date: 04 Oct 2012

Accepted date: 20 Feb 2013

Published date: 05 Sep 2013

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

Greenhouse gas data collected by different institutions throughout the world have significant scientific values for global climate change studies. Due to the diversity of data formats and different specifications of data access interfaces, most of those data should be first downloaded onto a local machine before they can be used. To overcome this limitation, we present a geospatial web portal for sharing and analyzing greenhouse gas data derived from remote sensing images. As a proof-of-concept, a prototype has also been designed and implemented. The workflow of the web portal contains four processes: data access, data analysis, results visualization, and results output. A large volume of greenhouse gas data have been collected, described, and indexed in the portal, and a variety of data analysis services, such as calculating the temporal variation of regionally averaged column CO2 values and analyzing the latitudinal variations of globally averaged column CO2 values, are integrated into this portal. With the integrated geospatial data and services, researchers can collect and analyze greenhouse gas data online, and can preview and download the analysis results directly from the web portal. The geospatial web portal has been implemented as a web application, and we also used a study case to illustrate this framework.

Cite this article

Hao LIN , Bailang YU , Zuoqi CHEN , Yingjie HU , Yan HUANG , Jianping WU , Bin WU , Rong GE . A geospatial web portal for sharing and analyzing greenhouse gas data derived from satellite remote sensing images[J]. Frontiers of Earth Science, 2013 , 7(3) : 295 -309 . DOI: 10.1007/s11707-013-0365-z

Acknowledgements

This work is supported by the National Basic Research Program of China (Grant No. 2010CB951603) and the National Natural Science Foundation of China (Grant No. 41001270). The authors thank five anonymous reviewers for their constructive comments and suggestions.
1
AGU (1995). Water Vapor in the Climate System Special Report. Washington, D C: American Geophysical Union Publications Office

2
Alkhaled A A, Michalak A M, Kawa S R, Olsen S C, Wang J W (2008). A global evaluation of the regional spatial variability of column integrated CO2 distributions. J Geophys Res, D, Atmospheres, 113(D20): D20303

DOI

3
Aumann H H, Chahine M T, Gautier C, Goldberg M D, Kalnay E, McMillin L M, Revercomb H, Rosenkranz P W, Smith W L, Staelin D H, Strow L L, Susskind J (2003). AIRS/AMSU/HSB on the aqua mission: design, science objectives, data products, and processing systems. IEEE Trans Geosci Rem Sens, 41(2): 253--264

DOI

4
Bai W G, Zhang X Y, Zhang P (2010). Temporal and spatial distribution of tropospheric CO2 over China based on satellite observations. Chin Sci Bull, 55(31): 3612-3618

DOI

5
Barkley M P, Monks P S, Engelen R J (2006). Comparison of SCIAMACHY and AIRS CO2 measurements over North America during the summer and autumn of 2003. Geophys Res Lett, 33(20): L20805

DOI PMID

6
Blond N, Boersma K F, Eskes H J, van der A R J, van Roozendael M, de Smedt I, Bergametti G, Vautard R (2007). Intercomparison of SCIAMACHY nitrogen dioxide observations, in situ measurements and air quality modeling results over Western Europe. J Geophys Res, D, Atmospheres, 112(D10): D10311

DOI

7
Bovensmann H, Burrows J P, Buchwitz M, Frerick J, Noel S, Rozanov V V, Chance K V, Goede A P H (1999). SCIAMACHY: mission objectives and measurement modes. J Atmos Sci, 56(2): 127-150

DOI

8
Goodchild M F, Zhou J Y (2003). Finding geographic information: collection-level metadata. GeoInformatica, 7(2): 95-112

DOI

9
IPCC (2001). 6.3 Well-mixed Greenhouse Gases. Working Group I: The Scientific Basis IPCC Third Assessment Report-Climate Change 2001, Retrieved 2012, fromhttp://www.grida.no/publications/other/ ipcc_tar/?src=/climate/ipcc_tar/wg1/218.htm

10
Jacob D (1999). Introduction to Atmospheric Chemistry. New Jersey: Princeton University Press

11
Karl T R, Trenberth K E (2003). Modern global climate change. Science, 302(5651): 1719-1723

DOI PMID

12
Le Treut H, Somerville R, Cubasch U, Ding Y, Mauritzen C, Mokssit A, Peterson T, Prather M (2007). Historical Overview of Climate Change Science. In: Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt K B, Tignor M, Miller H L, eds. Climate Change 2007: The Physical Science Basis. Cambridge: Cambridge University Press

13
Longley P A, Maguire D J (2005). Geoportals. Comput Environ Urban Syst, 29(1): 1

14
Nativi S, Domenico B (2009). Enabling interoperability for Digital Earth: Earth Science coverage access services. International Journal of Digital Earth 2(Suppl 1): 79-104

15
Strow L L, Hannon S E, de Souza-Machado S, Motteler H E, Tobin D (2003). An overview of the AIRS radiative transfer model. IEEE Trans Geosci Rem Sens, 41(2): 303-313

DOI

16
Tait M G (2005). Implementing geoportals: applications of distributed GIS. Comput Environ Urban Syst, 29(1): 33-47

17
Titov A, Gordov E, Okladnikov I, Shulgina T (2009). Web-system for processing and visualization of meteorological data for Siberian environment research. International Journal of Digital Earth, 2(Suppl 1): 105-119

DOI

18
van der Wel F J M (2005). Spatial data infrastructure for meteorological and climatic data. Meteorol Appl, 12(1): 7-8

DOI

19
Wang K, Jiang H, Zhang X Y, Zhou G M (2011). Analysis of spatial and temporal variations of carbon dioxide over China using SCIAMACHY satellite observations during 2003-2005. Int J Remote Sens, 32(3): 815-832

DOI

20
Woolf A, Cramer R, Gutierrez M, van Dam K K, Kondapalli S, Latham S, Lawrence B, Lowry R, O’Neill K (2005). Standards-based data interoperability in the climate sciences. Meteorol Appl, 12(1): 9-22

DOI

21
Woolf A, Haines K, Liu C L (2003). A web service model for climate data access on the grid. Int J High Perform Comput Appl, 17(3): 281-295

DOI

22
Yokota T, Yoshida Y, Eguchi N, Ota Y, Tanaka T, Watanabe H, Maksyutov S (2009). Global Concentrations of CO2 and CH4 Retrieved from GOSAT: first preliminary results. SOLA, 5: 160-163

DOI

23
Zhang L, Dong C H, Zhang W J, Zhang P (2008). METOP-on-board super-high spectrum resolution infrared atmospheric sounding interferometer (IASI). Meteorological Science and Technology, 36(5): 639-642 (in Chinese)

24
Zhang X Y, Jiang H, Wang Y Q, Han Y, Buchwitz M, Schneising O, Burrows J P (2011). Spatial variations of atmospheric methane concentrations in China. Int J Remote Sens, 32(3): 833-847

DOI

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