Suitable satellite sensor for elephant grass above-ground biomass estimation from field spectro-radiometry data

A satellite sensor is a key instrument that remotely collects data about an object or scene. However, since different sensors have varying spatial, temporal, spectral and radiometric properties, it is very necessary for vegetation cover mapping to identify and select suitable sensor for specific purposes. This study analyses seven of the most widely used satellite sensors for vegetation mapping; and evaluate their performance on elephant grass Above-Ground Biomass (AGB) estimation

Modelling grass land carrying capacity from satellite remote sensing

Developments in Remote Sensing (RS) satellite technology have made it possible to apply RS products for agricultural purposes, including modelling grassland carrying capacity (CC) of grazing land. However, determining the grazing land CC using pixel based approach is relatively new. This study modelled CC using pixel based approach and later compare it with the convetional method. Sentinel 2A MSI, in-situ Grass Above-ground Biomass (GAB) of 30 sample points and livestock data were used for the modelling CC of Daware grazing land northeast Nigeria. The result indicate that the available grass in the grazing land can only support 2,377,419 goats/sheep for 6 months or 4909 cattle for 1 month. This indicates that the grazing land was over grazed. The result of this study shows areas of grass available for rotational grazing throughout the season, thereby contributing to accurate modelling of grazing lands in Savannah and similar eco system