The 23 vegetation index formulas commonly used in remote sensing applications and the time and name of the most commonly used Landsat images in GEE

Image collection, specifically name, sensor, time and reference code
Sensor Dataset.availability Collection.ID
Landsat-4 TM 22/08/1982 - 24/06/1993 LANDSAT/LT04/C02/T1_L2
Landsat-5 TM 16/03/ 1993 – 05/05/2012 LANDSAT/LT05/C02/T1_L2
Landsat-7 ETM+ 01/01/1999-present LANDSAT/ LC08 /C02/T1_L2
Landsat-8 OLI 11/04/2013-present LANDSAT/LE07/C02/T1_L2
Landsat-9 OLI-2 31/10/2021-present LANDSAT/LC09/C02/T1_L2
Sentinel-2 (MSI) 28/03/2017-present COPERNICUS/S2_SR_HARMONIZED
Comparison of Landsat and Sentinel-2 and location of spectral bands.  The numbers indicate the number of spectral bands considered by each sensor
https://www.cbedai.net/xg

Indexes:
VIs allow quantitative and functional relationships with different parameters or variables of vegetation. 23 VIs, which are commonly used in agricultural applications (Bannari 2009), (Xue 2017).

The names of these VIs, their mathematical expressions, and their abbreviations are listed below:
1: ARVI: Anti-air Pollution Vegetation Index*.
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In ARVI, ATSAVI, EVI, EVI2, OSAVI, SAVI, ATSAVI, and WDRVI, i.e. all those VIs that require some scaling variable in addition to spectral bands.

在VI方程中使用的光谱带的缩写
Name
B Blue/Blue
G Green/Green
R Red/Red
RE Red edge/Red edge
NIR Near infrared
SWIR1 Shortwave infrared 1/Shortwave infrared 1
SWIR2 Wave infrared short 2/Shortwave infrared 2

参考文献:
References
Bannari, Bonn & Huete, Morin. 2009. A Review of Vegetation Indices. Remote Sensing Reviews, 13(1–2), 95–120. https://doi.org/10.1080/02757259509532298.
Xue, Su. 2017. Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications. Journal of Sensors. https://doi.org/10.1155/2017/1353691.

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Origin blog.csdn.net/qq_31988139/article/details/131558938