Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics

Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics

Rice mapping with remote sensing imagery provides an alternative means for estimating crop-yield and performing land management due to the large geographical coverage and low cost of remotely sensed data. Rice mapping in Southern China, however, is very difficult as rice paddies are patchy and fragm...

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Bibliographic Details
Main Authors: Shuang Zhao, Xiangnan Liu, Chao Ding, Shuyuan Liu, Changshan Wu, Ling Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:GIScience & Remote Sensing
Subjects:
rice mapping
image classification
deep learning
cnns
phenological metrics
Online Access:http://dx.doi.org/10.1080/15481603.2019.1658960

Internet

http://dx.doi.org/10.1080/15481603.2019.1658960

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