Advanced Spaceborne Thermal Emission and Reflection Radiometer L1T data were used for the derivation of the new indices for the identification and mapping of the silica-rich and mafic-ultramafic rocks of the Udaipur-Rakhabdev region. The newly derived silica-rich rock index Ronak Jain (QI-RJ) was used in four bands except band 10 as [((band 13 – sqrt(band 11))/band 14)/band 12]. The mafic-rich rocks were also defined by a new index (MI-RJ), as (band 10 + band 14) / band 13. The new indices had advantages in accurate mapping compared with those given by Ninomiya (QI-N), Rockwell and Hofstra (QI-RH), and Guha and Vinod Kumar (QI-AV) for mapping of silica-rich rocks by removing striping noise. Similarly, mafic minerals were mapped by indices given by Ninomiya (MI-N) and Guha and Vinod Kumar (MI-AV) for ultramafics, but they have not mapped the discontinuous outcrops of serpentinites. The statistical regression analysis approach was used for the prediction of the goodness of fit between the new indices and already existing indices. The silica index (QI-RJ) is highly correlated with the QI-RH and QI-AV and represents low values for QI-N. In a similar way, MI-RJ shows a high correlation with the MI-N and MI-AV indices. The regression analyses for the QI-RJ with MI-RJ, MI-N, and MI-AV, show a negative trend but have high values of regression correlation. The generated maps from the newly defined index were also compared with the indices maps generated from the existing indices and were found to have better maps of litho-units. Field collected data and petrological studies also validated the presence of silica-rich rocks and ultramafics of the region mapped with the help of newly defined indices, and a better spatial accuracy of maps was obtained. The new mafic index was more suitable for mapping serpentinites and their alteration products exposed in the area.

中文翻译：

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使用来自印度拉贾斯坦邦 Udaipur-Rakhabdev 地区的先进星载热发射和反射辐射计热红外数据的新定义的热指数绘制富含二氧化硅的岩石和蛇纹岩

先进的星载热发射和反射辐射计 L1T 数据被用于推导新的指数，用于识别和绘制 Udaipur-Rakhabdev 地区富含二氧化硅和镁铁质-超镁铁质岩石的绘图。新推导出的富含二氧化硅的岩石指数 Ronak Jain (QI-RJ) 用于四个波段，除了波段 10 [((波段 13 – sqrt(波段 11))/波段 14)/波段 12]。富含镁铁质的岩石也被一个新的指数（MI-RJ）定义为（band 10 + band 14）/band 13。与Ninomiya（QI-N）给出的指数相比，新指数在精确绘图方面具有优势， Rockwell 和 Hofstra (QI-RH) 以及 Guha 和 Vinod Kumar (QI-AV) 通过去除条纹噪声来绘制富含二氧化硅的岩石的地图。同样，镁铁质矿物通过二宫 (MI-N) 和 Guha 和 Vinod Kumar (MI-AV) 给出的超镁铁质指数绘制，但他们没有绘制蛇纹岩的不连续露头图。统计回归分析方法用于预测新指标与现有指标之间的拟合优度。二氧化硅指数 (QI-RJ) 与 QI-RH 和 QI-AV 高度相关，代表 QI-N 的低值。以类似的方式，MI-RJ 显示出与 MI-N 和 MI-AV 指数的高度相关性。QI-RJ 与 MI-RJ、MI-N 和 MI-AV 的回归分析显示出负趋势，但具有较高的回归相关值。新定义的索引生成的地图也与现有索引生成的索引图进行了比较，发现具有更好的石刻单元图。现场收集的数据和岩石学研究还验证了在新定义的指数的帮助下绘制的该区域存在富含二氧化硅的岩石和超基性岩，并获得了更好的地图空间精度。新的镁铁质指数更适合绘制该地区出露的蛇纹岩及其蚀变产物。