Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities
AbstractForest biomass is a significant indicator for substance accumulation and forest succession, and a spatiotemporal biomass map would provide valuable information for forest management and scientific planning. In this study, Landsat imagery and field data cooperated with a random forest regression approach were used to estimate spatiotemporal Above Ground Biomass (AGB) in Fuyang County, Zhejiang Province of East China. As a result, the AGB retrieval showed an increasing trend for the past decade, from 74.24 ton/ha in 2004 to 99.63 ton/ha in 2013. Topography and forest management were investigated to find their relationships with the spatial distribution change of biomass. In general, the simulated AGB increases with higher elevation, especially in the range of 80–200 m, wherein AGB acquires the highest increase rate. Moreover, the forest policy of ecological forest has a positive effect on the AGB increase, particularly within the national level ecological forest. The result in this study demonstrates that human activities have a great impact on biomass distribution and change tendency. Furthermore, Landsat image-based biomass estimates would provide illuminating information for forest policy-making and sustainable development. View Full-Text
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Wu, C.; Shen, H.; Wang, K.; Shen, A.; Deng, J.; Gan, M. Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities. Sustainability 2016, 8, 159.
Wu C, Shen H, Wang K, Shen A, Deng J, Gan M. Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities. Sustainability. 2016; 8(2):159.Chicago/Turabian Style
Wu, Chaofan; Shen, Huanhuan; Wang, Ke; Shen, Aihua; Deng, Jinsong; Gan, Muye. 2016. "Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities." Sustainability 8, no. 2: 159.
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