The Utilization of Transformation of Normalized Difference Vegetation Index (NDVI) for Healthy Forest Assessment

被引:0
作者
Larasati, Dian Ayu [1 ]
Setiawan, Heru [2 ]
Muzayanah [1 ]
机构
[1] Univ Negeri Surabaya, Dept Geog, Fac Social Sci & Law, Surabaya, Indonesia
[2] Makassar Res & Dev Ctr Environm & Forestry, Environm & Forestry Res & Dev Inst Makasar, Makasar, Indonesia
来源
PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON SOCIAL SCIENCES (ICSS 2018) | 2018年 / 226卷
关键词
Vegetation density; NDVI; Remote sensing; Nanggala III Natural Park; South Sulawesi;
D O I
暂无
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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%).
引用
收藏
页码:406 / 409
页数:4
相关论文
共 8 条
[1]  
BBKSDASS, 2014, VAL EK AIR TWA NANGG
[2]  
Danoedoro P., 1996, PENGOLAHAN CITRA DIG
[3]  
Hidayat R., 2014, J PRAKT RIS, P1
[4]  
Liang S., 2004, QUANTITATIVE REMOTE
[5]  
Mirza M., 2005, HUBUNGAN KERAPATAN V
[6]   Analysis of interannual changes in northern vegetation activity observed in AVHRR data from 1981 to 1994 [J].
Shabanov, NV ;
Zhou, LM ;
Knyazikhin, Y ;
Myneni, RB ;
Tucker, CJ .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (01) :115-130
[7]   Remote sensing of vegetation and land-cover change in Arctic Tundra Ecosystems [J].
Stow, DA ;
Hope, A ;
McGuire, D ;
Verbyla, D ;
Gamon, J ;
Huemmrich, F ;
Houston, S ;
Racine, C ;
Sturm, M ;
Tape, K ;
Hinzman, L ;
Yoshikawa, K ;
Tweedie, C ;
Noyle, B ;
Silapaswan, C ;
Douglas, D ;
Griffith, B ;
Jia, G ;
Epstein, H ;
Walker, D ;
Daeschner, S ;
Petersen, A ;
Zhou, LM ;
Myneni, R .
REMOTE SENSING OF ENVIRONMENT, 2004, 89 (03) :281-308
[8]   Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 [J].
Zhou, LM ;
Tucker, CJ ;
Kaufmann, RK ;
Slayback, D ;
Shabanov, NV ;
Myneni, RB .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D17) :20069-20083