Seasonal Land Cover Dynamics in Beijing Derived from Landsat 8 Data Using a Spatio-Temporal Contextual Approach

Seasonal Land Cover Dynamics in Beijing Derived from Landsat 8 Data Using a Spatio-Temporal Contextual Approach

Seasonal dynamic land cover maps could provide useful information to ecosystem, water-resource and climate modelers. However, they are rarely mapped more frequent than annually. Here, we propose an approach to map dynamic land cover types with frequently available satellite data. Landsat 8 data acqu...

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Bibliographic Details
Main Authors: Jie Wang, Congcong Li, Luanyun Hu, Yuanyuan Zhao, Huabing Huang, Peng Gong
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Remote Sensing
Subjects:
land cover
random forest
Markov random field
image sequence
entropy
Online Access:http://www.mdpi.com/2072-4292/7/1/865

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