vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff12b52b000000463f080001000200 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.
Sandeep V Gaikwad1, Amol D Vibhute2, Karbhari V Kale3
Dr. Babasaheb Ambedkar Marathwada University, India1,MIT World Peace University, India2, Dr. Babasaheb Ambedkar Marathwada University, India3
Map Server, Leaflet, Python tool, Web-GIS, Vegetation Indices
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 11 , Issue: 3 , Pages: 2373-2377 )
Date of Publication :
February 2021
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93
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