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Architecture Commons

Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics

University of Nebraska - Lincoln

Community and Regional Planning Program: Faculty Scholarly and Creative Activity

2016

Articles 1 - 2 of 2

Full-Text Articles in Architecture

Automated Cropping Intensity Extraction From Isolines Of Wavelet Spectra, Bingwen Qiu, Zhuangzhuang Wang, Zhenghong Tang, Chongcheng Chen, Zhanling Fan, Weijiao Li Jan 2016

Automated Cropping Intensity Extraction From Isolines Of Wavelet Spectra, Bingwen Qiu, Zhuangzhuang Wang, Zhenghong Tang, Chongcheng Chen, Zhanling Fan, Weijiao Li

Community and Regional Planning Program: Faculty Scholarly and Creative Activity

Timely and accurate monitoring of cropping intensity (CI) is essential to help us understand changes in food production. This paper aims to develop an automatic Cropping Intensity extraction method based on the Isolines of Wavelet Spectra (CIIWS) with consideration of intra- class variability. The CIIWS method involves the following procedures: (1) characterizing vegetation dynamics from time–frequency dimensions through a continuous wavelet transform performed on vegetation index temporal profiles; (2) deriving three main features, the skeleton width, maximum number of strong brightness centers and the intersection of their scale intervals, through computing a series of wavelet isolines from the wavelet ...


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 Jan 2016

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 ...