Biodiversity loss in tropical forests is rapidly increasing, which directly influence the biomass and productivity of an ecosystem. In situ methods for species diversity assessment and biomass in synergy with hyperspectral data can adeptly serve this purpose and hence adopted in this study. Quadrat sampling was carried out in Shoolpaneshwar Wildlife Sanctuary (SWS), Gujarat, which was used to compute Shannon–Weiner Diversity Index (H′). Above ground biomass (AGB) was calculated measuring the Height and Diameter at Breast Height (DBH) of different trees in the sampling plots. Four spectral indices, namely Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Photochemical Reflectance Index (PRI), and Structure Insensitive Pigment Index (SIPI) were derived from the EO-1 Hyperion Data. Spearman and Pearson’s correlation analysis was performed to examine the relationship between H′, AGB and spectral indices. The best fit model was developed by establishing a relationship between H′ and AGB. Fifteen models were developed by performing multiple linear regression analysis using all possible combinations of spectral indices and H′ and their validation was performed by relating observed H′ with model predicted H′. Pearson’s correlation relation showed that SIPI has the best relationship with the H′. Model 15 with a combination of NDVI, PRI and SIPI was determined as the best model for retrieving H′ based on its statistics performance and hence was used for generating species diversity map of the study area. Power model showed the best relationship between AGB and H′, which was used for the development of AGB map.

中文翻译：

---

在古吉拉特邦Shoolpaneshwar野生动物保护区协同利用原位和高光谱数据绘制物种多样性和地上生物量

热带森林中生物多样性的丧失正在迅速增加，这直接影响到生态系统的生物量和生产力。用于物种多样性评估和高光谱数据协同作用的生物量的原位方法可以很好地达到这一目的，因此在本研究中被采用。在古吉拉特邦的Shoolpaneshwar野生动物保护区（SWS）中进行了Quadrat抽样，该抽样用于计算Shannon-Weiner多样性指数（H'）。地上生物量（AGB）是通过测量采样区中不同树木的身高和胸径（DBH）来计算的。从EO-1 Hyperion数据中得出了四个光谱指数，即归一化植被指数（NDVI），增强植被指数（EVI），光化学反射指数（PRI）和结构不敏感色素指数（SIPI）。进行了Spearman和Pearson的相关分析，以检查H'，AGB和光谱指数之间的关系。通过建立H'和AGB之间的关系来开发最佳拟合模型。通过使用光谱指数和H'的所有可能组合执行多元线性回归分析，开发了15个模型，并通过将观察到的H'与模型预测的H'相关联来进行验证。皮尔逊的相关关系表明，SIPI与H'的关系最好。基于NDVI，PRI和SIPI的组合15模型，由于其统计性能而被确定为检索H'的最佳模型，因此可用于生成研究区域的物种多样性图。幂模型显示了AGB和H'之间的最佳关系，这被用于AGB地图的开发。