Study of pasture biomass and grazing intensity using remote sensing data in mountain area
Zokhid MamatkulovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, UzbekistanNurali UmarovRahimjon MakhsudovTashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, UzbekistanMuxammadi ErdonovTermez State University, Termez, UzbekistanKhujakul NiyozovTermez State University, Termez, UzbekistanGulom ArtikovAzamat Nishanov
ABI
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This article introduces a quantitative framework for evaluating remote sensing data analysis in alpine pasture areas to estimate biomass and evaluate grazing intensity. Our paradigm for measuring vegetation biomass and assessing grazing pressure was established through the use of multispectral satellite imagery and ground-based observations. To get precise estimations of biomass and grazing intensity, the system combines field surveys, machine learning algorithms, and vegetation indices. The suggested approach's efficacy in monitoring pasture health and guiding sustainable land management techniques in hilly areas is evident from the results.
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