Remote Sensing | |
Characterization of Land Transitions Patterns from Multivariate Time Series Using Seasonal Trend Analysis and Principal Component Analysis | |
Benoit Parmentier1  Ioannis Gitas2  | |
[1] Clark Labs, Clark University, 950 Main Street, Worcester, MA 01610, USA;id="af1-remotesensing-06-12639">Clark Labs, Clark University, 950 Main Street, Worcester, MA 01610, U | |
关键词: temporal patterns; windowed Fourier transform; Mann–Kendall; burned areas; fire; albedo; NDVI; land cover change; Alaska; | |
DOI : 10.3390/rs61212639 | |
来源: mdpi | |
【 摘 要 】
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,
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190018516ZK.pdf | 1124KB | download |