Soil organic matter (SOM) is one of the fundamental soil properties affecting productivity of crops by controlling nutrient budgets in agricultural production systems. Visual and qualitative interpretation of air-photos is still the base of mapping of SOM as most common method. Quantitative estimation of soil organic matter content (SOM)  is essential when  there is scanty of soil test laboratories, its strong spatial dependence and its measurement is a time and labor-consuming procedure and emerging geographical science information technology. In the present attempt, soil organic matter content is modeled by using airborne world view-2 reflective remote sensing methodology and it was tested in Nayavelhani (62.31 sq.km) VDC of Nawalparasi district of Nepal………………….

Soil organic matter (SOM) is one of the fundamental soil properties affecting productivity of crops by controlling nutrient budgets in agricultural production systems. Visual and qualitative interpretation of air-photos is still the base of mapping of SOM as most common method. Quantitative estimation of soil organic matter content (SOM)  is essential when  there is scanty of soil test laboratories, its strong spatial dependence and its measurement is a time and labor-consuming procedure and emerging geographical science information technology. In the present attempt, soil organic matter content is modeled by using airborne world view-2 reflective remote sensing methodology and it was tested in Nayavelhani (62.31 sq.km) VDC of Nawalparasi district of Nepal………………….