Leveraging Multi-Sensor Time Series Datasets to Map Short- and Long-Term Tropical Forest Disturbances in the Colombian Andes

Leveraging Multi-Sensor Time Series Datasets to Map Short- and Long-Term Tropical Forest Disturbances in the Colombian Andes

The spatial distribution of disturbances in Andean tropical forests and protected areas has commonly been calculated using bi or tri-temporal analysis because of persistent cloud cover and complex topography. Long-term trends of vegetative decline (browning) or improvement (greening) have thus not b...

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Bibliographic Details
Main Authors: Paulo J. Murillo-Sandoval, Jamon Van Den Hoek, Thomas Hilker
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Remote Sensing
Subjects:
time series
Andes
breaks for additive season and trend (BFAST)
disturbance
tropical forest
multi-angle implementation of atmospheric correction (MAIAC)
Landsat
Online Access:http://www.mdpi.com/2072-4292/9/2/179

Internet

http://www.mdpi.com/2072-4292/9/2/179

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