Mapping Urban Tree Cover Changes Using Object-Based Convolution Neural Network (OB-CNN)

Mapping Urban Tree Cover Changes Using Object-Based Convolution Neural Network (OB-CNN)

Urban trees provide social, economic, environmental and ecosystem services benefits that improve the liveability of cities and contribute to individual and community wellbeing. There is thus a need for effective mapping, monitoring and maintenance of urban trees. Remote sensing technologies can effe...

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Bibliographic Details
Main Authors:	Shirisa Timilsina, Jagannath Aryal, Jamie B. Kirkpatrick
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Remote Sensing
Subjects:	convolution neural networks (CNNs) deep learning GEOBIA object-based CNN urban tree mapping socioeconomic predictor variables
Online Access:	https://www.mdpi.com/2072-4292/12/18/3017

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