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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	International journal of remote sensing Ročník 39; číslo 14; s. 4640 - 4662
Hlavní autoři:	Godinho, Sérgio, Guiomar, Nuno, Gil, Artur
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Taylor & Francis 01.08.2018 Taylor & Francis Ltd
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!