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Estimating tropical deforestation from Earth observation data
Frédéric Achard, Hans-Jürgen Stibig, Hugh D Eva, Erik J Lindquist, Alexandre Bouvet, Olivier Arino, Philippe Mayaux

Estimating tropical deforestation from Earth observation data

Science & Mathematics Published 2010 Verification Pending

Overview & Synopsis

This article covers the very recent developments undertaken for estimating tropical deforestation from Earth observation data. For the United Nations Framework Convention on Climate Change process it is important to tackle the technical issues surrounding the ability to produce accurate and consistent estimates of GHG emissions from deforestation in developing countries. Remotely-sensed data are crucial to such efforts. Recent developments in regional to global monitoring of tropical forests from Earth observation can contribute to reducing the uncertainties in estimates of carbon emissions from deforestation. Data sources at approximately 30 m × 30 m spatial resolution already exist to determine reference historical rates of change from the early 1990s. Key requirements for implementing future monitoring programs, both at regional and pan-tropical regional scales, include international commitment of resources to ensure regular (at least yearly) pan-tropical coverage by satellite remote sensing imagery at a sufficient level of detail; access to such data at low-cost; and consensus protocols for satellite imagery analysis.

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Document Information

Document Title Estimating tropical deforestation from Earth observation data
Author / Organization Frédéric Achard, Hans-Jürgen Stibig, Hugh D Eva, Erik J Lindquist, Alexandre Bouvet, Olivier Arino, Philippe Mayaux
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2010
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-41553
Original Source Link Visit Source Page on hal.science »