Species diversity quantification is a crucial step towards the conservation of biodiversity and healthy ecosystem. The technological advancements and existing limitations of multispectral remote sensing has increased the popularity of hyperspectral remote sensing which found its use in the estimation of species diversity. The contiguous narrow bands available in hyperspectral data enables the improvised assessment of diversity index but the overlapping of the information could result in the redundancy that needs to be handled. Due to this, the idenfication of optimal bands is very important and hence the current study provides modified hyperspectral indices through detection of optimum bands for estimating species diversity of Shoolpaneshwar Wildlife Sanctuary (SWS), India. Narrow hyperspectral bands of EO-1 Hyperion image were screened and the best optimum wavelength from visible and Near Infrared (NIR) regions were identified based on coefficient of determination (r²) between band reflectance and in situ measured species diversity. For in situ species diversity measurements, quadrat sampling was carried out in SWS and different Diversity Indices (DIs) namely the Shannon Weiner DI, Margalef DI, McIntosh DI and Brillouin DI were calculated. The identified optimum wavelengths were then employed for modifying 38 existing spectral indices which were then investigated for testing their relation with the in situ DIs. The obtained optimum bands in visible and NIR were found to be in variation with four DIs. During validation, mMNLI, mREPI, mSIPI and mRGRI were identified as the best hyperspectral indices for determining Shannon Weiner DI, Margalef DI, McIntosh DI and Brillouin DI respectively.

物种多样性量化是保护生物多样性和健康生态系统的关键一步。多光谱遥感的技术进步和现有局限性增加了高光谱遥感的普及，高光谱遥感可用于估计物种多样性。高光谱数据中可用的连续窄带能够对多样性指数进行即兴评估，但信息的重叠可能导致需要处理的冗余。因此，最佳波段的识别非常重要，因此当前的研究通过检测最佳波段提供了修改后的高光谱指数，用于估计印度 Shoolpaneshwar 野生动物保护区 (SWS) 的物种多样性。² ) 波段反射率和原位测量的物种多样性之间。对于原位物种多样性测量，在 SWS 中进行了样方采样，并计算了不同的多样性指数 (DI)，即香农韦纳 DI、Margalef DI、McIntosh DI 和 Brillouin DI。然后使用确定的最佳波长来修改 38 个现有的光谱指数，然后研究这些指数以测试它们与原位DI的关系。发现在可见光和 NIR 中获得的最佳波段随四个 DI 变化。在验证过程中，mMNLI、mREPI、mSIPI 和 mRGRI 被确定为分别用于确定 Shannon Weiner DI、Margalef DI、McIntosh DI 和 Brillouin DI 的最佳高光谱指数。