Monitoring of the Ecuadorian mountain rainforest with remote sensing

The Ecuadorian Andes feature a hotspot of biodiversity. At the same time Ecuador has the highest deforestation rate of South America. In order to develop sustainable counteractive measures, it is important to locate and quantify the ongoing changes on a regional scale. In this study we present a cost-effective remote sensing based change detection algorithm suitable for application in a tropical mountain rainforest landscape. We show that the deforestation in the study area is closely linked to the existence of roads but topography also influences the spatial distribution of land cover change.

[1]  Eduardo S Brondízio,et al.  Area and Age of Secondary Forests in Brazilian Amazonia 1978–2002: An Empirical Estimate , 2006, Ecosystems.

[2]  R. Bussmann,et al.  Recolonisation of natural landslides in tropical mountain forests of Southern Ecuador , 2004 .

[3]  Frédéric Achard,et al.  Tropical forest mapping from coarse spatial resolution satellite data: Production and accuracy assessment issues , 2001 .

[4]  M. Maloley,et al.  METHODOLOGY FOR A CANADIAN AGRICULTURAL LAND COVER CLASSIFICATION , 2006 .

[5]  D. Roberts,et al.  Using Imaging Spectroscopy to Study Ecosystem Processes and Properties , 2004 .

[6]  A. Paulsch,et al.  Development and Application of a Classification System for Undisturbed and Disturbed Tropical Montane Forests Based on Vegetation Structure , 2002 .

[7]  Giles M. Foody,et al.  Separability of tropical rain-forest types in the Tambopata-Candamo Reserved Zone, Peru , 1994 .

[8]  William F. Laurance,et al.  Reflections on the tropical deforestation crisis , 1999 .

[9]  Ronald Stoyan,et al.  Soil properties on a chronosequence of landslides in montane rain forest, Ecuador , 2003 .

[10]  Richard E Bilsborrow,et al.  Socioeconomic Drivers of Deforestation in the Northern Ecuadorian Amazon , 2006, Environmental management.

[11]  Christian Töttrup,et al.  Improving tropical forest mapping using multi-date Landsat TM data and pre-classification image smoothing , 2004 .

[12]  D. Lu,et al.  Change detection techniques , 2004 .

[13]  Frédéric Achard,et al.  The GLOBCOVER Initiative , 2005 .

[14]  A. Huete A soil-adjusted vegetation index (SAVI) , 1988 .

[15]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[16]  Giles M. Foody,et al.  Remote sensing of tropical forest environments: Towards the monitoring of environmental resources for sustainable development , 2003 .

[17]  S. Saatchi,et al.  The Global Rain Forest Mapping project - A review , 2000 .

[18]  J. Campbell Introduction to remote sensing , 1987 .

[19]  Arief Wijaya,et al.  Comparison of multisource data support vector Machine classification for mapping of forest cover , 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

[20]  N. Brummitt,et al.  Biodiversity: Where's Hot and Where's Not , 2003 .

[21]  Luis Cayuela,et al.  Fragmentation, disturbance and tree diversity conservation in tropical montane forests , 2006 .

[22]  F. J. Gallego Remote sensing and land cover area estimation , 2004 .

[23]  Christoph Stadel DEL VALLE AL MONTE: ALTITUDINAL PATTERNS OF AGRICULTURAL ACTIVITIES IN THE PATATE-PELILEO AREA OF ECUADOR1 , 1986 .

[24]  Jörg Bendix,et al.  Gradients in a Tropical Mountain Ecosystem of Ecuador , 2008 .

[25]  R. Engelman,et al.  Human population in the biodiversity hotspots , 2000, Nature.

[26]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[27]  J. Mas Monitoring land-cover changes: A comparison of change detection techniques , 1999 .

[28]  Fausto O. Sarmiento,et al.  Anthropogenic Change in the Landscapes of Highland Ecuador* , 2002 .

[29]  Frédéric Baret,et al.  Intercalibration of vegetation indices from different sensor systems , 2003 .

[30]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[31]  R. Mittermeier,et al.  Biodiversity hotspots for conservation priorities , 2000, Nature.

[32]  T. Brooks,et al.  Habitat Loss and Extinction in the Hotspots of Biodiversity , 2002 .

[33]  Paul J. Crutzen,et al.  Science for Global Sustainability: Toward a New Paradigm , 2005 .

[34]  Lawrence A. Brown,et al.  The causes of tropical deforestation in Ecuador: A statistical analysis , 1991 .

[35]  R. Richter A spatially adaptive fast atmospheric correction algorithm , 1996 .

[36]  Dolors Armenteras,et al.  Andean forest fragmentation and the representativeness of protected natural areas in the eastern Andes, Colombia , 2003 .

[37]  R. Richter,et al.  Correction of satellite imagery over mountainous terrain. , 1998, Applied optics.