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Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities

Author

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  • Chaofan Wu

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Huanhuan Shen

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Ke Wang

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Aihua Shen

    (Zhejiang Forestry Academy, Hangzhou 310023, China)

  • Jinsong Deng

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

  • Muye Gan

    (College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China)

Abstract

Forest 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.

Suggested Citation

  • Chaofan Wu & Huanhuan Shen & Ke Wang & Aihua Shen & Jinsong Deng & Muye Gan, 2016. "Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities," Sustainability, MDPI, vol. 8(2), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:159-:d:63639
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    References listed on IDEAS

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    1. Costanza, Robert & d'Arge, Ralph & de Groot, Rudolf & Farber, Stephen & Grasso, Monica & Hannon, Bruce & Limburg, Karin & Naeem, Shahid & O'Neill, Robert V. & Paruelo, Jose, 1998. "The value of the world's ecosystem services and natural capital," Ecological Economics, Elsevier, vol. 25(1), pages 3-15, April.
    2. Costanza, Robert, 1998. "The value of ecosystem services," Ecological Economics, Elsevier, vol. 25(1), pages 1-2, April.
    3. Lefeng Qiu & Jinxia Zhu & Ke Wang & Wei Hu, 2015. "Land Use Changes Induced County-Scale Carbon Consequences in Southeast China 1979–2020, Evidence from Fuyang, Zhejiang Province," Sustainability, MDPI, vol. 8(1), pages 1-13, December.
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    Cited by:

    1. Hoi Nguyen Dang & Duy Dinh Ba & Dung Ngo Trung & Hieu Nguyen Huu Viet, 2022. "A Novel Method for Estimating Biomass and Carbon Sequestration in Tropical Rainforest Areas Based on Remote Sensing Imagery: A Case Study in the Kon Ha Nung Plateau, Vietnam," Sustainability, MDPI, vol. 14(24), pages 1-20, December.

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