NDVIcoverfactor: Estimating Cover Factor for Erosion Models Using NDVI Remote...

In soilassessment: Soil Health Assessment Models for Assessing Soil Conditions and Suitability

Estimating Cover Factor for Erosion Models Using NDVI Remote Sensing Index for Vegetation

Description

This function estimates the C factor of erosion models using NDVI derived from remote sensing images

Usage

NDVIcoverfactor(ndvi, model="kniff")

Arguments

ndvi	remote sensing index for vegetation
model	model for relating ndvi with C factor

Details

The function uses empirical models from the literature. It currently has 15 models: kniff, patil, almagro, jamshidi, dejong, toumi, gitas, joshi, durigon, wickama, suriyaprasit, lin, bahrawi, kulikov, power, modis.

Value

a numeric value between 0 and 1 .

Note

Some models may return negative values, which are masked out in the function or may return warning

Author(s)

Christian Thine Omuto

References

Ayalew, D.A., Deumlich, D., Šarapatka, B., Doktor, D., 2020. Quantifying the Sensitivity of NDVI-Based C Factor Estimation and Potential Soil Erosion Prediction using Spaceborne Earth Observation Data. Remote Sensing 12, 1136. https://doi.org/10.3390/rs12071136

Mahgoub, M., Elalfy, E., Soussa, H., Abdelmonem, Y., 2024. Relation between the soil erosion cover management factor and vegetation index in semi-arid basins. Environ Earth Sci 83, 337. https://doi.org/10.1007/s12665-024-11593-3

See Also

VegCOV

Examples

NDVIcoverfactor(0.27,"modis")

library(raster)
library(sp)
r <- raster(xmn= 35.5, ymn= -1.5, xmx = 37.5,ymx = 1.5, res = c(0.01,0.01),
            crs = '+proj=latlon +datum=WGS84 +no_defs')
r <- setValues(r, sample(x=0:1, size=ncell(r), replace=TRUE))
r$s2=NDVIcoverfactor(values(r),"modis")
plot(r$s2)

soilassessment documentation built on April 12, 2025, 9:13 a.m.