Calculation of Biomass in Summer Pasture Areas in Saatlı Region Using Multispectral Imagery
Leyla Imamaliyeva 
Abstract. The use of multispectral imagery is one of the modern and effective methods for assessing biomass in summer pasture areas. Calculating the biomass of pasture areas in Saatli region is important from the point of view of ecology and agricultural management, as this indicator allows to monitor the availability of food resources for livestock, the health of the pasture ecosystem and changes in land cover. Multispectral imagery allows to collect detailed information about soil and vegetation cover at different wavelengths (for example, visible and near-infrared spectrum). Using this data, the biomass volume in pasture areas can be estimated using plant health and density indicators such as Normalized Difference Vegetation Index (NDVI). The calculation process usually consists of several stages: first, spectral images of the fields are collected, then radiometric and atmospheric corrections are made, followed by the calculation of vegetation cover indicators at the pixel level. Indices such as NDVI or Enhanced Vegetation Index (EVI) reflect the level of vegetation cover vitality and can be correlated with pasture biomass. The obtained spectral indicators are combined with historical field data and meteorological parameters to estimate the biomass mass in tons/ha or grams/m². This approach also enables high-precision monitoring of large areas and creates a scientific basis for land use planning, food security and sustainable agriculture.
Keywords: Saatly region, multispectral images, biomass, NDVI, SPOT-6, lowland pastures, desertification, soil salinity, ecosystem monitoring