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In this study identification of geothermal manifestations was based on vegetation analysis of remote sensing data. This study aims to identify geothermal manifestations based on the density of vegetation index and land surface temperature in the Cangar geothermal area, East Java through the results of satellite data processing in the form of Landsat 8 image data using ArcGIS ArcMap 10.4 software applied to analyze the vegetation index with the NDVI method and know the distribution LST in the research area. Based on the results of processing remote sensing data from Landsat 8 images. For the results of the vegetation index density (NDVI) processed from the image of band 4 and band 5, it shows that in the Cangar geothermal area it is dominated by mixed land with the classification results 0.2 < NDVI < 0.65, this explains that covered by mixed land indicates that the area is thermally active compared to areas covered by vegetation. While the results of the distribution of land surface temperature (LST) processed from thermal band 10 channels show a range of yield values 6.63 oC - 45.33 oC, with very striking anomalies in geothermal manifestations in the form of Cangar hot water and at several points in the South and East in the study area with estimated LST of 26 oC - 45,33 oC.