Open AccessSISTEM PENDETEKSI PERUBAHAN LAHAN HIJAU DI JABODETABEK
Author(s) -
Andree Phanderson,
Dyah Erny Herwindiati,
Bagus Mulyawan
Publication year - 2018
Publication title -
computatio
Language(s) - English
Resource type - Journals
eISSN - 2549-2829
pISSN - 2549-2810
DOI - 10.24912/computatio.v2i1.1480
Subject(s) - normalized difference vegetation index , vegetation (pathology) , vegetation index , remote sensing , satellite , linear regression , index (typography) , environmental science , mathematics , statistics , geography , computer science , leaf area index , engineering , medicine , ecology , pathology , aerospace engineering , biology , world wide web
Change of green area in Jakarta, Bogor, Depok, Tangerang and Bekasi (Jabodetabek) has been something very important. Classification of green area aims to do classification in Jabodetabek using Landsat 8 satellite images, band 1, 2, 3, 4 and 5. Before classification was done, the satellite images will be corrected using Radiometric Correction method called Mini-max algorithm. After doing radiometric correction, the classification will use the NDVI (Normalized Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) method. The selected area will be classified as green when NDVI values similar or has more than 0.3. After perform two categories, Y1 and Y2 are selected by NDVI values using dummy dependent variable. Linear regression method use that dummy dependent variable to classify the selected area in Jabodetabek. To see how can we trust the result, the classified area will be compared with the appearance of selected area in Google Earth. The highest degradation of green area is in Bogor, May 2015, 325.7368 Km2.