Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Online Spatial Data Analysis and Algorithm Development for Geo-scientific Applications Using Remote Sensing Data

  • Research Article
  • Published:
Proceedings of the National Academy of Sciences, India Section A: Physical Sciences Aims and scope Submit manuscript

Abstract

Availability of geospatial data from online data repositories and geoportals are increasing with rapid pace. For better utilization of these heterogeneous data sets, it is required to give more attention to develop web based algorithms as well as geocomputation models that allows high-level information extraction from distributed nature of geodata. The Open Geospatial Consortium specification such as Web Processing Service (WPS) provides the solutions for integrating remote sensing data for the computation of algorithms from distributed sources in multi-user environment. The main purpose of present study is to develop and implement a WPS based geoprocesses and analysis approach using Online Image Processing System. The software framework developed during this study is a platform independent solution which is developed using free and open source technology. As a demonstrative case study, the Normalized Difference Vegetation Index and Normalized Difference Built-up Index algorithms are annotated for automatic deployment in geoscientific processing workflow environment. The Sentinel-2 data sets and polygon geometry as region of interest are stored and published as web services for input dataset in application server repository. A case study for Champawat district of Uttarakhand state of India has been demonstrated to identify vegetation greenness and built-up sites during the summer season. In order to access the functionalities of the online application, an interactive and responsive Graphical User Interface is developed in web GIS environment. The proposed approach can be very effective and useful to address the key challenges in commercial desktop based software for geoprocessing and analysis of remote sensing data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Kalyvas C, Kokkos A, Tzouramanis T (2017) A survey of official online sources of high-quality free-of-charge geospatial data for maritime geographic information systems applications. Inf Syst 65:36–51. https://doi.org/10.1016/j.is.2016.11.002

    Article  Google Scholar 

  2. De Longueville Bertrand B (2010) Community-based geoportals: the next generation? Concepts and methods for the geospatial Web 2.0. Comput Environ Urban Syst 34:299–308. https://doi.org/10.1016/j.compenvurbsys.2010.04.004

    Article  Google Scholar 

  3. Karnatak H, Pandey K, Oberai K et al (2014) Geospatial data sharing, online spatial analysis and processing of indian biodiversity data in internet GIS domain—a case study for raster based online geo-processing. Int Arch Photogramm Remote Sens Spat Inf Sci ISPRS Arch XL-8:1133–1137. https://doi.org/10.5194/isprsarchives-XL-8-1133-2014

    Article  Google Scholar 

  4. Yue P, Guo X, Zhang M et al (2016) Linked data and SDI: the case on Web geoprocessing workflows. ISPRS J Photogramm Remote Sens 114:245–257. https://doi.org/10.1016/j.isprsjprs.2015.11.009

    Article  ADS  Google Scholar 

  5. Hofer B (2015) Uses of online geoprocessing technology in analyses and case studies: a systematic analysis of literature. Int J Digit Earth 8:901–917. https://doi.org/10.1080/17538947.2014.962632

    Article  Google Scholar 

  6. Roy PS, Tomar S (2000) Biodiversity characterization at landscape level using geospatial modelling technique. Biol Conserv 95:95–109. https://doi.org/10.1016/S0006-3207(99)00151-2

    Article  ADS  Google Scholar 

  7. Zhao P, Foerster T, Yue P (2012) The geoprocessing web. Comput Geosci 47:3–12. https://doi.org/10.1016/j.cageo.2012.04.021

    Article  ADS  Google Scholar 

  8. Giuliani G, Nativi S, Lehmann A, Ray N (2012) WPS mediation: an approach to process geospatial data on different computing backends. Comput Geosci 47:20–33. https://doi.org/10.1016/j.cageo.2011.10.009

    Article  ADS  Google Scholar 

  9. Karnatak HC, Shukla R, Sharma VK et al (2012) Spatial mashup technology and real time data integration in geo-web application using open source GIS—a case study for disaster management. Geocarto Int 27:499–514. https://doi.org/10.1080/10106049.2011.650651

    Article  Google Scholar 

  10. Weifeng M, Jun L (2015) Modeling for Web-based image processing and JImaging system implemented using medium model. Open Cybern Syst J 9:142–147

    Article  Google Scholar 

  11. Hinz M, Proß B, Nüst D, Pebesma E (2013) Spatial statistics on the geospatial web. In: Agil—Leuven 14–17

  12. Michaelis CD, Ames DP (2009) Evaluation and implementation of the OGC Web Processing Service for use in client-side GIS. Geoinformatica 13:109–120. https://doi.org/10.1007/s10707-008-0048-1

    Article  Google Scholar 

  13. Zhang Y, Odeh IOA, Han C (2009) Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. Int J Appl Earth Obs Geoinf 11:256–264. https://doi.org/10.1016/j.jag.2009.03.001

    Article  Google Scholar 

  14. De Oliveira JL, Pires F, Bauzer-Medeiros C (1997) An environment for modeling and design of geographic applications. Geoinformatica 1:29–58. https://doi.org/10.1023/A:1009704100446

    Article  Google Scholar 

  15. Roy PS, Kushwaha SPS, Roy A (2012) Landscape level biodiversity databases in India: status and the scope. Proc Natl Acad Sci India Sect B Biol Sci 82:261–269. https://doi.org/10.1007/s40011-012-0111-4

    Google Scholar 

  16. Geller GN, Turner W (2007) The model web: A concept for ecological forecasting. In: IGARSS 2007. IEEE International, pp 2469–2472

  17. Karnatak HC, Saran S, Bhatia K, Roy PS (2007) Multicriteria spatial decision analysis in web GIS environment. Geoinformatica 11:407–429. https://doi.org/10.1007/s10707-006-0014-8

    Article  Google Scholar 

  18. Čepický J (2008) OGC Web Processing Service and it’s usage. GIS Ostrava 27:1–12

    Google Scholar 

  19. Pebesma E, Cornford D, Dubois G et al (2011) INTAMAP: the design and implementation of an interoperable automated interpolation web service. Comput Geosci 37:343–352. https://doi.org/10.1016/j.cageo.2010.03.019

    Article  ADS  Google Scholar 

  20. Dubois G, Schulz M, Skøien J et al (2013) eHabitat, a multi-purpose Web Processing Service for ecological modeling. Environ Model Softw 41:123–133. https://doi.org/10.1016/j.envsoft.2012.11.005

    Article  Google Scholar 

  21. Rautenbach V, Coetzee S, Iwaniak A (2013) Orchestrating OGC web services to produce thematic maps in a spatial information infrastructure. Comput Environ Urban Syst 37:107–120. https://doi.org/10.1016/j.compenvurbsys.2012.08.001

    Article  Google Scholar 

  22. Castronova AM, Goodall JL, Elag MM (2013) Models as web services using the Open Geospatial Consortium (OGC) Web Processing Service (WPS) standard. Environ Model Softw 41:72–83. https://doi.org/10.1016/j.envsoft.2012.11.010

    Article  Google Scholar 

  23. Borges KAV (2011) WPS—OpenGIS® Web Processing Service. Open Geospatial Consort Inc 2007:1–17. doi:http://www.opengeospatial.org/

  24. Steiniger S, Hunter AJS (2013) The 2012 free and open source GIS software map—a guide to facilitate research, development, and adoption. Comput Environ Urban Syst 39:136–150. https://doi.org/10.1016/j.compenvurbsys.2012.10.003

    Article  Google Scholar 

  25. Čepický J, Becchi L (2007) Geospatial processing via internet on remote servers—PyWPS. OSGeo J 1:1–4

    Google Scholar 

  26. Bastin L, Buchanan G, Beresford A et al (2013) Open-source mapping and services for Web-based land-cover validation. Ecol Inform 14:9–16. https://doi.org/10.1016/j.ecoinf.2012.11.013

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Indian Institute of Remote Sensing, ISRO, Dehradun, India

    Harish C. Karnatak

  2. Geomatics Engineering Group, Civil Engineering Department, Indian Institute of Technology Roorkee, Roorkee, India

    Hariom Singh & R. D. Garg

Authors
  1. Harish C. Karnatak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hariom Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. D. Garg
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hariom Singh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karnatak, H.C., Singh, H. & Garg, R.D. Online Spatial Data Analysis and Algorithm Development for Geo-scientific Applications Using Remote Sensing Data. Proc. Natl. Acad. Sci., India, Sect. A Phys. Sci. 87, 701–712 (2017). https://doi.org/10.1007/s40010-017-0442-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40010-017-0442-x

Keywords

Search

Navigation