ICTACT Journal on Image and Video Processing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Design and Implementation of a Web-GIS Platform for Monitoring of Vegetation Status


Affiliations
1 Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, India
2 School of Computer Science, MIT World Peace University, India
     

   Subscribe/Renew Journal


The systematic analysis of crop condition monitoring using high spatial resolution satellite images is significant for decision-making and agricultural food production management. In the present paper, the web-GIS system has been designed and developed to accumulate spatial information, computing vegetation indices, and highlight Land Use Land Cover (LULC) changes. The developed system was tested using Landsat-8 satellite images. The system preprocesses the Landsat-8 images for obtaining better surface reflectance, spatial and temporal resolutions and computes vegetation indices for crop condition monitoring. The developed web-GIS system provides an online mapping tool, vegetation indices statistics, download function with various standard formats, opacity function, image overlay, project wizard, and Geo-Mapper Application. Additionally, the system also offers vegetation status maps and its statistical values, which utilizes in further applications. In conclusion, the web-GIS system affords a dynamic user interface, which is useful for decision support and near real-time data with its comprehensive abilities.

Keywords

Map Server, Leaflet, Python tool, Web-GIS, Vegetation Indices.
Subscription Login to verify subscription
User
Notifications
Font Size

  • M. Potmesil, “Maps Alive: Viewing Geospatial Information on the WWW”, Computer Networks and ISDN Systems, Vol. 28, No. 8, pp. 1327-1342,1997.

  • S.V. Gaikwad, A.D. Vibhute and K.V. Kale, “Design and Development of Ground Truth Collection Platform using Android and Leaflet Library”, Proceedings of International Conference on Recent Trends in Image Processing and Pattern Recognition, pp. 520-528, 2018.

  • W. Lu, T. Ai, X. Zhang and Y. He, “An Interactive Web Mapping Visualization of Urban Air Quality Monitoring Data of China”, Atmosphere, Vol. 8, No. 8, pp. 148-157, 2017.

  • S. Nusser, L. Miller, K. Clarke and M. Goodchild, “Geospatial IT for Mobile Field Data Collection”, Communications of the ACM, Vol. 46, No. 1, pp. 45-46, 2003.

  • A.D. Vibhute, R.K. Dhumal, A.D. Nagne and S.C. Mehrotra, “Analysis, Classification, and Estimation of Pattern for Land of Aurangabad Region using High-Resolution Satellite Image”, Proceedings of International Conference on Computer and Communication Technologies, pp. 413-427, 2016.

  • R. Olyazadeh, K. Sudmeier Rieu and M. Jaboyedoff, “An Offline Online Web-GIS Android Application for Fast Data Acquisition of Landslide Hazard and Risk”, Natural Hazards and Earth System Sciences, Vol. 17, No. 4, pp. 549-556, 2017.

  • A.D. Vibhute, K.V. Kale, S.V. Gaikwad and R.K. Dhumal, “Classification of Complex Environments using Pixel Level Fusion of Satellite Data”, Multimedia Tools and Applications, Vol. 79, pp. 34737-34769, 2020.

  • S. Ye, D. Zhu, X. Yao and Z. Zhang, “Development of a Highly Flexible Mobile GIS-Based System for Collecting Arable Land Quality Data”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 11, pp. 4432-4441, 2014.

  • P. Ghaemi, J. Swift, C. Sister and J.P. Wilson, “Design and Implementation of a Web-Based Platform to Support Interactive Environmental Planning”, Computers, Environment and Urban Systems, Vol. 33, No. 6, pp. 482-491, 2009.

  • M. Rao, G. Fan, J. Thomas and G. Cherian, “A Web-Based GIS Decision Support System for Managing and Planning USDA's Conservation Reserve Program (CRP)”, Environmental Modelling and Software, Vol. 22, No. 9, pp. 1270-1280, 2007.

  • R.R. Vatsavai, T.E. Burk and S. Shekhar, A Web-based Browsing and Spatial Analysis System for Regional Natural Resource Analysis and Mapping”, Proceedings of ACM International Symposium on Advances in Geographic Information Systems, pp. 95-101, 2000.

  • Z. Yang, G. Yu, L. Di and B. Zhang, “Web Service-Based Vegetation Condition Monitoring System-Vegscape”, Proceedings of IEEE International Geoscience and Remote Sensing, pp. 3638-3641, 2013.

  • D. Lv, X. Ying, X. Gao,W. Tao, “A WebGIS Platform Design and Implementation based on Open Source GIS Middleware”, Proceedings of International Conference on Geoinformatics, pp. 1-5, 2016.

  • A. Song, J. Liu and S.C. McClure, “Soil Erosion Estimation with a WebGIS-Based Platform”, Proceedings of International Conference on Agro-Geoinformatics, pp. 106-109, 2013.

  • Earth Explorer, Available at https://earthexplorer.usgs.gov/, Accessed at 2020.

  • Atmospheric Corrections, Available at https://www.pcigeomatics.com/pdf/AtmosphericCorrection.pdf, Accessed at 2020.

  • Renjie Pi, Xiaoguang Zhou and Hui Ling Zhou, “The Construction of Off-Line Map based on OpenStreetMap and Leaflet”, Proceedings of International Conference on Computer, Mechatronics, Control and Electronic Engineering, pp. 1471-1475, 2015.

  • HTTPD-Apache2 Web Server, Available at https://help.ubuntu.com/lts/serverguide/httpd.html, Accessed at 2020.

  • Apache HTTP Server Project, Available at https://httpd.apache.org/, Accessed at 2018.

  • D. Chen, S. Shams and C. Carmona-Moreno, “Assessment of Open-Source GIS Software for Water Resources Management in Developing Countries”, Journal of Hydro-environment Research, Vol. 4, No. 3, pp. 253-264, 2010.

  • Y. He, D. Zhang and Y. Fang, “Development of a Mobile Post-Disaster Management System using Free and Open-Source Technologies”, International Journal of Disaster Risk Reduction, Vol. 25, pp. 101-110, 2017.


Abstract Views: 287

PDF Views: 0




  • Design and Implementation of a Web-GIS Platform for Monitoring of Vegetation Status

Abstract Views: 287  |  PDF Views: 0

Authors

Sandeep V. Gaikwad
Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, India
Amol D. Vibhute
School of Computer Science, MIT World Peace University, India
Karbhari V. Kale
Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, India

Abstract


The systematic analysis of crop condition monitoring using high spatial resolution satellite images is significant for decision-making and agricultural food production management. In the present paper, the web-GIS system has been designed and developed to accumulate spatial information, computing vegetation indices, and highlight Land Use Land Cover (LULC) changes. The developed system was tested using Landsat-8 satellite images. The system preprocesses the Landsat-8 images for obtaining better surface reflectance, spatial and temporal resolutions and computes vegetation indices for crop condition monitoring. The developed web-GIS system provides an online mapping tool, vegetation indices statistics, download function with various standard formats, opacity function, image overlay, project wizard, and Geo-Mapper Application. Additionally, the system also offers vegetation status maps and its statistical values, which utilizes in further applications. In conclusion, the web-GIS system affords a dynamic user interface, which is useful for decision support and near real-time data with its comprehensive abilities.

Keywords


Map Server, Leaflet, Python tool, Web-GIS, Vegetation Indices.

References