Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China

Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China

Abstract Time series remote sensing image is an important resource for dynamic monitoring of resources and environment, and its abundant time spectrum information can be used to characterize the dynamic change of vegetation coverage. This paper proposes a comprehensive clustering and pixel classific...

Full description

Bibliographic Details
Main Authors: Jiaxing Xu, Hua Zhao, Pengcheng Yin, Duo Jia, Gang Li
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Vegetation dynamics
Time series NDVI
Classification
Clustering
Pixel classification
Online Access:http://link.springer.com/article/10.1186/s13640-018-0360-0

Internet

http://link.springer.com/article/10.1186/s13640-018-0360-0

Similar Items