The Utilization of Transformation of Normalized Difference Vegetation Index (NDVI) for Healthy Forest Assessment
- 10.2991/icss-18.2018.84How to use a DOI?
- Vegetation density, NDVI, Remote sensing, Nanggala III Natural Park, South Sulawesi
Nanggala III Natural Park is a nature conservation area which has a very important role in sustaining the life of the community. Assessment of forest health in the region is essential as a tool to evaluate to evaluate this area in order to provide sustainable benefits. This study aims to assess the level of health forest in Nanggala III Natural Park using Normalized Difference Vegetation Index (NDVI) and remote sensing. This study uses transformation of vegetation index and field observation, while the sampling method used purposive sampling method. Indicators for assessing forest health level using analysis of vegetation index (NDVI) using Landsat 8, recorded in 2015. Zoning to determine the level of forest health based on the pixel values of image transformation vegetation index. Based on the results of data processing, it can be seen that in general, the forest area in Nanggala III Natural Park categorized in the healthy forest. Land cover is dominated by vegetation with high-density level with an area reaching 798.84 ha (82.48%), then the vegetation densities in the medium with an area of 97.74 ha (10.09%), sparse vegetation densities in the area 26.28 ha (2.71%) and non-vegetation cover (cloud and build area) amounted to 45.72 ha (4.72%).
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Dian Ayu Larasati AU - Heru Setiawan AU - Ms Muzayanah PY - 2018/10 DA - 2018/10 TI - The Utilization of Transformation of Normalized Difference Vegetation Index (NDVI) for Healthy Forest Assessment BT - Proceedings of the 1st International Conference on Social Sciences (ICSS 2018) PB - Atlantis Press SP - 406 EP - 409 SN - 2352-5398 UR - https://doi.org/10.2991/icss-18.2018.84 DO - 10.2991/icss-18.2018.84 ID - Larasati2018/10 ER -