Monitoring of the Changes in the Global Forest Cover Using Data Mining

DOI

10.2991/icebi.2010.12How to use a DOI?

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.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Vipin Kumar
PY  - 2010/12
DA  - 2010/12
TI  - Monitoring of the Changes in the Global Forest Cover Using Data Mining
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 78
EP  - 79
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.12
DO  - 10.2991/icebi.2010.12
ID  - Kumar2010/12
ER  -