Assessment of deforestation during the last decades in Ecuador using NOAA-AVHRR satellite data

Authors

  • Victor Gonzáles-Jaramillo
  • Andreas Fries
  • Rütger Rollenbeck
  • Jhoana Paladines
  • Fernando Oñate-Valdivieso
  • Jörg Bendix

DOI:

https://doi.org/10.3112/erdkunde.2016.03.02

Keywords:

remote sensing, forest cover, annual deforestation rates, NOAA image processing, Ecuador

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 1 km x 1 km 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.

Downloads

Published

2016-09-30

How to Cite

Gonzáles-Jaramillo, V., Fries, A., Rollenbeck, R., Paladines, J., Oñate-Valdivieso, F., & Bendix, J. (2016). Assessment of deforestation during the last decades in Ecuador using NOAA-AVHRR satellite data. ERDKUNDE, 70(3), 217–235. https://doi.org/10.3112/erdkunde.2016.03.02

Issue

Section

Articles

Most read articles by the same author(s)

1 2 > >>