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首页> 外文会议>International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring >Selection of vegetation indices for mapping the sugarcane condition around the oil and gas field of North West Java Basin, Indonesia
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Selection of vegetation indices for mapping the sugarcane condition around the oil and gas field of North West Java Basin, Indonesia

机译：选择植被指数，用于在印度尼西亚西北爪哇省石油和天然气场地映射甘蔗条件

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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 R~2 than 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.
机译：需要在植物映射中选择植被指数来提供植物条件的最佳信息。本研究中使用的方法是标准偏差和线性回归。该研究试图确定用于在油气场周围绘制甘蔗条件的植被指数。本研究中使用的数据是Landsat 8 Oli / Tirs。 23种植被指数的标准偏差分析具有27个样本的植被指数的六个最高标准偏差，称为GRVI，SR，NLI，SIPI，GEMI和LAI。标准偏差值为0.47; 0.43; 0.30; 0.17; 0.16和0.13。 23种植被指数的回归相关性分析，280个样本导致六个植被指数，被称为NDVI，EXEDVI，GDVI，Vari，Lai和Sipi。这是基于与最低值R〜2的回归相关性进行的。标准偏差的综合分析和回归相关性已经获得了五个植被指数，称为NDVI，EXEDVI，GDVI，LAI和SIPI。两种方法的分析结果表明，需要进行两种方法的组合，以产生对甘蔗条件的良好分析。通过现场调查澄清并显示了对微透的预测结果的良好结果。

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