| Issue |
BIO Web Conf.
Volume 131, 2024
6th International Conference on Tropical Resources and Sustainable Sciences (CTReSS 6.0)
|
|
|---|---|---|
| Article Number | 05009 | |
| Number of page(s) | 10 | |
| Section | Environmental Sustainability, Analytics and Technology | |
| DOI | https://doi.org/10.1051/bioconf/202413105009 | |
| Published online | 15 October 2024 | |
Dual Vegetation Index Analysis and Spatial Assessment in Kota Bharu, Kelantan using GIS and Remote Sensing
1 Faculty of Earth Science, Universiti Malaysia Kelantan, 17600 Jeli, Kelantan, Malaysia
2 Department of Applied Geology, Faculty of Geological Engineering, Universitas Padjadjaran, Sumedang, Indonesia,
3 Department of Science Geology, Faculty of Geological Engineering, Universitas Padjadjaran, Sumedang, Indonesia,
* Corresponding author: shaparas@umk.edu.my
Vegetation serves as an indicator of environmental conditions in ecological classifications. In addition, vegetation index analysis can also benefit farmers and agricultural planners by optimising crop selection and irrigation practices. The spatial distribution of healthy vegetation can increase agricultural productivity. This study focuses on the Kota Bharu district in the state of Kelantan, Malaysia that aims to recognise the vegetation indices Normalized Difference Vegetation Index (NDVI) and Green Normalized Difference Vegetation Index (GNDVI). NDVI analysis measures reflected visible and near-infrared light to identify and evaluate living green plants. The Green Normalized Difference Vegetation Index (GNDVI) has a higher saturation threshold and is more sensitive to plant chlorophyll levels than NDVI. This approach works in agricultural environments with dense canopies or advanced crop development. The average accuracy level for NDVI 2023 is 78% while the average accuracy level for GNDVI 2023 is 76%. The value of kappa coefficient for NDVI and GNDVI for 2023 respectively are 0.73 and 0.72 which considered to be acceptable and represents the good correspondence.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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