Estimating tree canopy cover percentage in a mediterranean silvopastoral systems using Sentinel-2A imagery and the stochastic gradient boosting algorithm

The availability of accurate and updated spatial information of tree cover in semi-arid and arid silvopastoral systems (SPSs) is crucial to understand their spatial patterns and trends. Although remote-sensing techniques have been proved useful in estimating tree canopy cover in general, more resear...

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Veröffentlicht in:	International journal of remote sensing Jg. 39; H. 14; S. 4640 - 4662
Hauptverfasser:	Godinho, Sérgio, Guiomar, Nuno, Gil, Artur
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 01.08.2018 Taylor & Francis Ltd
Schlagworte:	Algorithms Arid zones Aridity Canopies Canopy Complex variables Computation Data Estimation Herbivores Imagery Mathematical models Modelling normalized difference vegetation index Normalized difference vegetative index prediction Predictions Reflectance Remote sensing satellites Semi arid environments Semiarid zones Sensing techniques silvopastoral systems Spaceborne remote sensing Spatial data Spatial resolution Spectra spectral analysis Spectral bands Stochastic models stochastic processes Texture Trees Vegetation Vegetation index
ISSN:	0143-1161, 1366-5901, 1366-5901
Online-Zugang:	Volltext
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