*Interpretation is indicative and may vary based on specific field conditions, sensor type, and atmospheric corrections.
A fast and easy calculator for estimating vegetation index values while considering soil brightness effects. Ideal for agriculture, environmental studies, and GIS.
*Interpretation is indicative and may vary based on specific field conditions, sensor type, and atmospheric corrections.
To understand how the formula works, here is an example using common reflectance values:
SAVI (Soil Adjusted Vegetation Index) merupakan indeks vegetasi yang dirancang untuk membantu mengurangi pengaruh pantulan kecerahan latar belakang tanah pada pengukuran vegetasi.
Indeks ini sangat berguna di area dengan tutupan vegetasi yang rendah hingga menengah, di mana tanah yang terekspos dapat mendistorsi nilai indeks konvensional seperti NDVI.
Banyak diaplikasikan pada Remote Sensing, GIS, Agricultural Monitoring, dan Land Cover Analysis.
Default L = 0.5 (Optimal untuk sebagian besar kondisi lahan).
SAVI (Soil Adjusted Vegetation Index) is a modification of NDVI with a correction factor (L) applied to minimize soil background influence, especially in areas with sparse vegetation.
The standard formula is SAVI = ((NIR - Red) / (NIR + Red + L)) × (1 + L), where NIR is Near Infrared, Red is the red band reflectance, and L is the soil adjustment factor.
The L value is a calibration factor that reduces soil noise. L=0 means SAVI equals NDVI (high vegetation). L=1 is used for very low vegetation. L=0.5 is the standard default for intermediate cover.
Like NDVI, SAVI values typically range from -1 to 1. Negative values usually indicate non-vegetated surfaces like water or snow, while higher positive values indicate dense, healthy vegetation.
Yes, SAVI can be calculated using imagery from any multispectral sensor that has Red and Near Infrared (NIR) bands, including Sentinel-2, Landsat 8/9, and MODIS.