Using the regression estimator with Landsat data to estimate proportion forest cover and net proportion deforestation in Gabon
- 1 August 2014
- journal article
- research article
- Published by Elsevier BV in Remote Sensing of Environment
- Vol. 151, 138-148
- https://doi.org/10.1016/j.rse.2013.09.015
Abstract
No abstract availableKeywords
Funding Information
- European Space Agency (ESA) Global Monitoring for the Environment and Security Service Element on Forest Monitoring REDD
- EU FP7 GMES REDDAF
This publication has 25 references indexed in Scilit:
- Satellite image-based maps: Scientific inference or pretty pictures?Remote Sensing of Environment, 2011
- A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 imagesRemote Sensing of Environment, 2010
- Sampling designs for accuracy assessment of land coverInternational Journal of Remote Sensing, 2009
- A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo BasinRemote Sensing of Environment, 2008
- Deforestation in Central Africa: Estimates at regional, national and landscape levels by advanced processing of systematically-distributed Landsat extractsRemote Sensing of Environment, 2008
- Tropical Forests and Climate PolicyScience, 2007
- Using Remote Sensing for Agricultural StatisticsInternational Statistical Review, 2006
- Determination of Deforestation Rates of the World's Humid Tropical ForestsScience, 2002
- Central African forests, carbon and climate changeClimate Research, 2001
- A review of assessing the accuracy of classifications of remotely sensed dataRemote Sensing of Environment, 1991