Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/jspui/handle/123456789/18790
Title: Assessment of deforestation during the last decades in Ecuador using NOAA-AVHRR satellite data
Authors: Oñate Valdivieso, F.
Fries Fries, A.
Bendix, J.
Gonzalez Jaramillo, V.
Paladines Benitez, J.
Rollenbeck, R.
Keywords: Remote sensing
NOAA image processing
Forest cover
Annual deforestation rates
Ecuador
metadata.dc.date.available: 2016-06-07
2017-06-16T22:02:22Z
Issue Date: 7-Jun-2016
Publisher: ERDKUNDE
Abstract: Human activities during the last decades provoked a notable reduction in global forest cover. Knowing that forest stands act as stock and sinks for carbon and other greenhouse gases, it is important to determine the existing forest cover at country level and to calculate annual deforestation rates. This work uses NOAA satellite images in a resolution of 1km x 1km to classify the surface of continental Ecuador in �forest� - �non-forest� pixels and to estimate the annual deforestation rate from 1986 to 2001 as well as from 2001 to 2008. The method is based on a decision tree algorithm that includes different spectral bands of the NOAA-AVHRR sensor and additional topographic and meteorological parameters. The results show that the total forest cover of continental Ecuador was reduced from 48.1% in 1986 to 36.8% in 2008. The calculated annual deforestation rates indicate that forest reduction increased during the last decade. The most affected area is the Coastal Lowland, due to the enhanced population pressure, followed by the Amazon Basin, not only caused by the governmental supported oil and mining industry, but also due to the uncontrolled timber extraction. The Andean Highland has been less affected, because the major parts of this region were deforested before, during the Pre-Columbian-Era.
metadata.dc.identifier.other: 10.3112/erdkunde.2016.03.02
URI: http://dspace.utpl.edu.ec/handle/123456789/18790
ISBN: 0014-0015
Other Identifiers: 10.3112/erdkunde.2016.03.02
Other Identifiers: 10.3112/erdkunde.2016.03.02
metadata.dc.language: Inglés
metadata.dc.type: Article
Appears in Collections:Artículos de revistas Científicas



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