title: |
Monitoring of the Changes in the Global Forest Cover Using Data Mining |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-40-6 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/icebi.2010.12 (how to use a DOI) | |
author(s): |
Vipin Kumar |
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publication date: |
December 2010 |
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abstract: |
Assessing change in forest cover is of critical importance in studying natural and
anthropogenic impacts on natural ecosystems. In particular, forest degradation accounts
for almost 20% of anthropogenic greenhouse gas emissions (GHG) and thus is a
significant driver of climate change, which, in turn can impact the health of the global
ecosystem. Hence there has been a significant increase in international efforts such as the
United Nations Program on Reducing Emissions from Deforestation and Forest
Degradation (UN-REDD). In addition to politically negotiated treaties, a market based
approach has been proposed in which corporations or countries that are significant
emitters of atmospheric carbon offer monetary payments for forest preservation in
exchange for carbon credits to be used in a carbon trading system. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |