Application domain: Urban Formula: (T1 - (B + N + S1) / 3.0)/(T1 + (B + N + S1) / 3.0) Bands: ["B","N","S1","T1"] Reference:https://doi.org/10.14358/PERS.76.5.557 Normalized Difference Impervious Surface Index (NDISI) purpose is to map impervious surfaces. The trailing b (making NDISIb), was added by https://github.com/awesome-spectral-indices/awesome-spectral-indices who also contains a NDISIg indice where green replace blue.

Application domain: Vegetation Formula: (G - R) / (G + R - B) Bands: ["B","G","R"] Reference: https://doi.org/10.1016/S0034-4257(01)00289-9 Visible Atmospherically Resistant Index (VARI), is a variation of Atmospherically Resistant Vegetation Index (ARVI) aiming to minimize sensitivity to atmospheric effects, enhancing vegetation under strong atmospheric impact while smoothing illumination variations.

Application domain: Snow Formula: 0.36 * (G + R + N) - (((B + S2)/G) + S1) Bands: ["B","G","R","N","S1","S2"] Reference: https://doi.org/10.3390/rs13142777 Non-Binary Snow Index for Multi-Component Surfaces (NBSIMS) is proposed to map snow/ice cover, it is based on the spectral characteristics of different Land Cover Types (LCTs), such as snow, water, vegetation, bare land, impervious, and shadow surfaces. This index can increase the separability between NBSIMS values corresponding to snow from other LCTs and accurately delineate the snow/ice cover in non-binary maps. The NBSIMS performance was compared against the well-known Normalized Difference Snow Index (NDSI), NDSII-1, S3, and Snow Water Index (SWI) methods and evaluated based on Ground Reference Test Pixels (GRTPs) over non-binarized results. The results show that the NBSIMS achieved an overall accuracy (OA) ranging from 0.99 to 1 with kappa coefficient values in the same range as the OA. The precision assessment confirmed the performance superiority of the proposed NBSIMS method for removing water and shadow surfaces over the compared relevant indices.

Application domain: Water Formula: B + 2.5 * G - 1.5 * (N + S1) - 0.25 * S2 Bands: ["B","G","N","S1","S2"] Reference: https://doi.org/10.1016/j.rse.2013.08.029 Automated Water Extraction Index (AWEI) is dedicated to improve classification accuracy in areas that include shadow and dark surfaces that other classification methods often fail to classify correctly. AWEIsh is primarily formulated for further improvement of accuracy by removing shadow pixels.

Application domain: Water Formula: (B - S2) / (B + S2) Bands: ["B","S2"] Reference: https://doi.org/10.3390/rs11182186 Water Index 2 (WI2) is dedicated to detect the coastline from different multispectral Landsat images, using the same principe as Normalized Difference Vegetation index.

Application domain: Vegetation Formula: '-0.1603 * B + 0.2819 * G - 0.4934 * R + 0.7940 * N - 0.0002 * S1 - 0.1446 * S2 Bands: ["B","G","R","N","S1","S2"] Reference: http://dx.doi.org/10.1109/TGRS.1984.350619 Tasseled Cap Greeness (TCG) is the product of a Tasseled Cap Transformation (TCT). Consisting in the convertion of multispectral data acquired from satellite or aerial platforms into a set of orthogonal components representing different aspects of land cover and land surface characteristics. TCG being a proxy of vegetation.

Application domain: Snow Formula: (G - R)/(G + R) Bands: ["G","R"] Reference: https://doi.org/10.1080/01431160802385459 Normalized Difference Glacier Index (NDGI(al)) is generally used in combination with NDSI and NDSII to dicriminate snow, ice and ice-mixed-debris in a systematic manner.

Application domain: Urban Formula: (S1 - N) / (10.0 * ((S1 + T1) ** 0.5)) Bands: ["N","S1","T1"] Reference: https://doi.org/10.3390/rs4102957 Enhanced Built-Up and Bareness Index (EBBI) combines near infrared (NIR), short wave infrared (SWIR), and thermal infrared (TIR) channels simultaneously to distinguish built-up and bare land areas. The EBBI was more effective at discriminating built-up and bare land areas and at increasing the accuracy of the built-up density percentage than five other indices.

Application domain: Water Formula: (B - (N + S1 + S2))/(B + (N + S1 + S2)) Bands: ["B","N","S1","S2"] Reference: https://doi.org/10.11873/j.issn.1004-0323.2009.2.167 New Water Index (NWI) distinguishes itself from other conventional water indexes by its usage of SWIR2 which has rarely been reported in the literature at the time of it's creation.

Application domain: Water Formula: (N - S1)/(N + S1) Bands: ["N","S1"] Reference: https://doi.org/10.1016/j.rse.2003.11.008 Land Surface Water Index (LSWI) is similar in mathematic formulation to the Normalized Difference Water Index (NDWI) and is generally used to differentiate cropland and forests.