Normalized Difference Vegetation Index in the Integration of Conservation Education

Ali Rahmat, Mustofa Abi Hamid, Muhammad Khoiru Zaki, Abdul Mutolib


Forest plays an important role to support a global environment. Currently, forest degradation occurs in developing countries. Therefore, the excellent strategies to against the forest degradation must be found. One of the best solutions is understanding the information of vegetation condition. Here, the objective of this paper was to apply a method as the assessment of vegetation monitoring using satellite data in the integration of conservation education forest at great forest Wan Abdul Rachman in Lampung Province, Indonesia. In this study, normalized difference vegetation index (NDVI) was used, completed with satellite data (namely MODIS). This technique helps in monitoring vegetation status. Data NDVI from MODIS satellite data showed that forest area decrease very small from 2000-2017. The data was obtained for June, July, and the end of September.


Forest Monitoring; Lampung Province; MODIS Data; NDVI; Wan Abdul Rachman forest

Full Text:



Bannari, A., Morin, D., Bonn, F., and Huete, A. R. (1995). A review of vegetation indices. Remote sensing reviews, 13, 95–120.

Baret, F., and Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR assessment. Remote sensing of environment, 46, 213– 222.

Chuvieco, E. (1998). El factor temporal en teledetección: evolución fenomenológica y análisis de cambios. Revista de teledetección, 10, 1–9.

Fabio Maselli (2004) Monitoring forest conditions in a protected Mediterranean coastal

area by the analysis of multiyear NDVI data. Remote sensing of environment, 89, 423– 433.

Kaufmann, R. K., Zhou, L. M., Myneni, R. B., Tucker, C. J., Slayback, D., Shabanov, N. V. and Pinzon, J. (2003). The effect of vegetation on surface temperature: a statistical analysis of NDVI and climate data. Geophysical research letters, 30, 21–47.

Mutolib, A., Yonariza, Mahdi, and Ismono, H. (2017). Forest ownership conflict between a local community and the state: A case study in Dharmasraya, Indonesian journal of tropical forest science, 29(2), 163-171.

Nandiyanto, A. B. D., Sofiani, D., Permatasari, N., Sucahya, T. N., Wiryani, A. S., Purnamasari, A., Rusli, A., and Prima, E. C. (2016). Photodecomposition profile of organic material during the partial solar eclipse of 9 march 2016 and its correlation with organic material concentration and photocatalyst amount. Indonesian Journal of Science and Technology, 1(2), 132-155.

Permatasari, N., Sucahya, T. N., & Nandiyanto, A. B. D. (2016). Agricultural Wastes as a Source of Silica Material. Indonesian journal of science and technology, 1(1), 82-106.

Prasetyo, E. (2016). Detection of Mango Tree Varieties Based on Image Processing. Indonesian journal of science and technology, 1(2), 203-215.

Rahmat, A. (2017) Simple estimation air temperature from modis LST in Gifu City, Japan. Journal of science and applicative technology, 1(1), 1-7.

Rahmat, A., and Mutolib, A. Comparison air temperature under global climate change issue in Gifu city and Ogaki city, Japan. Indonesian journal of science and technology, 1(1), 37-46. 2016.

Tavor, C.L. (2011) NDVI as indicator of degradation. Unasylva, 238 (62), 39-46.

Veroustraete, F., Sabbe, H., and Eerens, H. (2002). Estimation of carbon mass fluxes over Europe using the C-Fix model and Eruflux data. Remote sensing of environment, 83, 376–399.

Waring, H. R. and Running, S. W. (1998). Forest ecosystems. Analysis at multiples scales (2nd ed.) (p. 55). San Diego: Academic Press.



  • There are currently no refbacks.

Copyright (c) 2018 Indonesian Journal of Science and Technology

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Indonesian Journal of Science and Technology is published by UPI.
StatCounter - Free Web Tracker and Counter
View My Stats