Next Article in Journal
Development of a New Ground Truth Database for Global Urban Area Mapping from a Gazetteer
Next Article in Special Issue
Use of Remote Sensing to Support Forest and Wetlands Policies in the USA
Previous Article in Journal
Automatic Geographic Object Based Mapping of Streambed and Riparian Zone Extent from LiDAR Data in a Temperate Rural Urban Environment, Australia
Previous Article in Special Issue
The Soy Moratorium in the Amazon Biome Monitored by Remote Sensing Images
Article Menu

Article Versions

Export Article

Open AccessArticle
Remote Sens. 2011, 3(6), 1157-1176; doi:10.3390/rs3061157

Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo

Université de Montréal, 440-520 ch de la Côte-Ste-Catherine, Montréal, QC H2V 2B8, Canada
Author to whom correspondence should be addressed.
Received: 31 March 2011 / Revised: 20 May 2011 / Accepted: 24 May 2011 / Published: 3 June 2011
(This article belongs to the Special Issue Remote Sensing in Support of Environmental Policy)
View Full-Text   |   Download PDF [1262 KB, uploaded 19 June 2014]   |  


International climate change mitigation initiatives such as REDD-plus have fuelled the need for forest monitoring efforts that focus especially on the carbon rich natural ecosystems that are found in the humid tropics. Such monitoring efforts must tackle challenges intrinsic to these regions, such as high atmospheric contamination from particulates and persistent cloud cover. The emergence of new high-resolution platforms like Google Earth offers new potential scientific uses that can help meet these challenges. Using data from MODIS and detailed observation of Google Earth images, we have produced a yearly time series of deforestation hotspots for the island of Borneo for the 2000 to 2009 period. Our workflow and results demonstrate how multiple free data sources can be combined to greatly enhance the individual capacities of each. The methodology employed to produce this time series demonstrates simple, low-expense techniques that can be used to circumvent the obstacles that typically hinder systematic remote sensing in Borneo and other heavily clouded areas.
Keywords: deforestation; Google Earth; Borneo; EVI; REDD; MODIS deforestation; Google Earth; Borneo; EVI; REDD; MODIS

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Dorais, A.; Cardille, J. Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo. Remote Sens. 2011, 3, 1157-1176.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top