Visual Analysis of Forest Carbon Sequestration on Entropy Weight Method by Big Data Computation

According to the forest growth law and practical application significance, a comprehensive evaluation model of forest overall value is established by considering that biological value is divided into ecological value and economic value. Entropy weight method was used to determine the weight of each index of original forest, reclaimed forest and plantation forest. The visual analysis of forest carbon sequestration big data was carried out to determine the scope of management plan. As a suitable rotation cycle depends on whether there is a transition point from deforestation to forest management plans, it is of theoretical and practical significance to reduce carbon dioxide emissions, improve energy efficiency and build a green, low-carbon and circular development economic system.