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.

Application domain: Vegetation Formula: 0.5 * (2.0 * N + 1 - (((2 * N + 1) ** 2) - 8 * (N - R)) ** 0.5) Bands: ["R","N"] Reference: https://doi.org/10.1016/0034-4257(94)90134-1 Modified Soil-Adjusted Vegetation Index (MSAVI) is adjusted to soil effects and is sensitive to early vegetation in the field, it works even when the earth is hardly covered with crops. MSAVI is useful at the very beginning of crop production season – when seedlings start to establish.

Application domain: Urban Formula: ((S1 - S2 - N)/(S1 + S2 + N)) + 0.5 Bands: ["N","S1","S2"] Reference: https://doi.org/10.3390/land10030231 Modified Bare Soil Index (MBI) combines shortwave infrared and near-infrared wavelengths. Bare soil extracted from the MBI achieved higher overall accuracy of about 98% and a kappa coefficient over 0.96, compared to bare soil index (BSI), normalized different bare soil index (NDBaI), and dry bare soil index (DBSI). The results also revealed that MBI considerably contributes to the accuracy of land cover classification.

Application domain: Snow Formula: (G - S1) / (G + S1) Bands: ["G","S1"] Reference: https://doi.org/10.1109/IGARSS.1994.399618 NDSI is widely employed in environmental studies, climate research, and water resource management to assess snow extent and changes over for its ability to differentiate between snow and clouds.