Selection of vegetation indices for mapping the sugarcane condition around the oil and gas field of North West Java Basin, Indonesia

[摘要] Selection of vegetation indices in plant mapping is needed to provide the best information of plant conditions. The methods used in this research are the standard deviation and the linear regression. This research tried to determine the vegetation indices used for mapping the sugarcane conditions around oil and gas fields. The data used in this study is Landsat 8 OLI/TIRS. The standard deviation analysis on the 23 vegetation indices with 27 samples has resulted in the six highest standard deviations of vegetation indices, termed as GRVI, SR, NLI, SIPI, GEMI and LAI. The standard deviation values are 0.47; 0.43; 0.30; 0.17; 0.16 and 0.13. Regression correlation analysis on the 23 vegetation indices with 280 samples has resulted in the six vegetation indices, termed as NDVI, ENDVI, GDVI, VARI, LAI and SIPI. This was performed based on regression correlation with the lowest value R2than 0,8. The combined analysis of the standard deviation and the regression correlation has obtained the five vegetation indices, termed as NDVI, ENDVI, GDVI, LAI and SIPI. The results of the analysis of both methods show that a combination of two methods needs to be done to produce a good analysis of sugarcane conditions. It has been clarified through field surveys and showed good results for the prediction of microseepages.

[发布机构] Research and Development Center for Oil and Gas Technology LEMIGAS, Indonesia^1;Center for Remote Sensing, Bandung Institute of Technology (ITB), Indonesia^2;Faculty of Earth Sciences and Technology, Bandung Institute of Technology (ITB), Indonesia^3;ForMIND Institute (Indonesian Young Researcher Forum, Indonesia^4

[效力级别] 生态环境科学

[关键词] Combined analysis;Correlation analysis;Field surveys;Oil and gas fields;Standard deviation;Standard deviation analysis;Vegetation index;West javas