Characterization of Land Transitions Patterns from Multivariate Time Series Using Seasonal Trend Analysis and Principal Component Analysis

Characterization of Land Transitions Patterns from Multivariate Time Series Using Seasonal Trend Analysis and Principal Component Analysis

Characterizing biophysical changes in land change areas over large regions with short and noisy multivariate time series and multiple temporal parameters remains a challenging task. Most studies focus on detection rather than the characterization, i.e., the manner by which surface state variables ar...

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Bibliographic Details
Main Author: Benoit Parmentier
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Remote Sensing
Subjects:
temporal patterns
windowed Fourier transform
Mann–Kendall
burned areas
fire
albedo
NDVI
land cover change
Alaska
Online Access:http://www.mdpi.com/2072-4292/6/12/12639

Internet

http://www.mdpi.com/2072-4292/6/12/12639

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