The NDFI it is sensitive to the state of the canopy cover, and has been successfully applied to monitor forest degradation and deforestation in Peru and Brazil. This index comes from the Green Vegetation (GV), non-photosynthetic vegetation (NPV), Soil (S) and the reminder is the shade component.
ndfiSMA(img, procesLevel = "SR", verbose = FALSE)
| img | It could be RasterStack or RasterBrick |
|---|---|
| procesLevel | Processing level. It is possible to obtain the NDFI from images in surface reflectance (SR) from TM, ETM+ and OLI, or Top of Atmosphere (TOA) values only for Landsat 8 OLI. The default is SR. In addition, for any processing level, the image values must be rescaled between 0 and 10000 |
| verbose | This paramater is Logical. It Prints progress messages during execution |
The fractions is obtained from the Spectral Mixture Analysis physical model.
Souza Jr., C.M., Roberts, D.A., Cochrane, M.A., 2005. Combining spectral and spatialinformation to map canopy damage from selective logging and forest fires. Remote Sens. Environ. 98 (2-3), 329-343.
library(ForesToolboxRS) library(raster) # Load an example dataset data(img_l8) # Unmix the image ndfi <- ndfiSMA(img = img_l8, procesLevel = "SR") plot(ndfi)