Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis

Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis

Accurately mapping urban vegetation carbon density is challenging because of complex landscapes and mixed pixels. In this study, a novel methodology was proposed that combines a linear spectral unmixing analysis (LSUA) with a linear stepwise regression (LSR), a logistic model-based stepwise regressi...

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Bibliographic Details
Main Authors: Hua Sun, Guangping Qie, Guangxing Wang, Yifan Tan, Jiping Li, Yougui Peng, Zhonggang Ma, Chaoqin Luo
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:Remote Sensing
Subjects:
forest carbon
integration
Landsat 8 image
k-nearest neighbors
mapping
mixed pixel
regression
Shenzhen City
vegetation fraction
Online Access:http://www.mdpi.com/2072-4292/7/11/15114

Internet

http://www.mdpi.com/2072-4292/7/11/15114

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