Updating land cover automatically based on change detection using satellite images: case study of national forests in Southern California

Updating land cover automatically based on change detection using satellite images: case study of national forests in Southern California

Observing dynamic change patterns and higher-order complexities from remotely sensed images is warranted, but the main challenges include image inconsistency, plant phenological differences, weather variations, and difficulties of incorporating natural conditions into automatic image processing. In...

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Bibliographic Details
Main Authors: Shengli Huang, Carlos Ramirez, Kama Kennedy, Jeffrey Mallory, Juanle Wang, Christine Chu
Format: Article
Language:English
Published: Taylor & Francis Group 2017-07-01
Series:GIScience & Remote Sensing
Subjects:
land cover
update
time series images
change detection
remote sensing
Online Access:http://dx.doi.org/10.1080/15481603.2017.1286727

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