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A Multi-Scale Spatiotemporal Modeling Approach To Explore Vegetation Dynamics Patterns Under Global Climate Change, Bingwen Qiu, Zhuangzhuang Wang, Zhenghong Tang, Zhe Liu, Difei Lu, Chongcheng Chen, Nan Chen
A Multi-Scale Spatiotemporal Modeling Approach To Explore Vegetation Dynamics Patterns Under Global Climate Change, Bingwen Qiu, Zhuangzhuang Wang, Zhenghong Tang, Zhe Liu, Difei Lu, Chongcheng Chen, Nan Chen
Community and Regional Planning Program: Faculty Scholarly and Creative Activity
Given the complexity of vegetation dynamic patterns under global climate change, multi-scale spatiotemporal explicit models are necessary in order to account for environmental heterogeneity. However, there is no efficient time-series tool to extract, reconstruct and analyze the multi-scale vegetation dynamic patterns under global climate change. To fill this gap, a Multi-Scale Spatio-Temporal Modeling (MSSTM) framework which can incorporate the pixel, scale, and time-specific heterogeneity was proposed. The MSSTM method was defined on proper time-series models for multitemporal components through wavelet transforms. The proposed MSSTM approach was applied to a subtropical mountainous and hilly agro-forestry ecosystem in southeast China using the …