Title :
Determination of above ground carbon in Canada´s forests-a multi-source approach
Author :
Goodenough, David G. ; Bhogal, A.S. ; Dyk, Andrew ; Apps, Mike ; Hall, Ron ; Tickle, Philip ; Chen, Hao ; Butler, K. ; Gim, Munhwan
Author_Institution :
Pacific Forestry Centre, Natural Resources Canada, Canada
Abstract :
Canada is a signatory to the Kyoto Protocol and must report on reforestation, afforestation and deforestation activities since 1990. Reporting commitments also include a baseline estimate of forest carbon stocks in 1990 and the monitoring of changes in carbon stocks leading up to the reporting period 2008 to 2012. Canada has 10% of the world´s forests (418 million hectares), which account for a significant amount of stored carbon. The determination of above-ground carbon stocks in the forest can be based on several sources: remote sensing, models of vegetation growth, book-keeping carbon models, and traditional forest inventories. Estimating above-ground carbon with remote sensing requires the fusion and integration of remote sensing data with topographic, forest cover and other geospatial information. Multi-temporal LANDSAT TM imagery was used in conjunction with GIS data to compute above-ground biomass from which the carbon content is determined. In addition to biomass, other key factors, which play a role in the determination of carbon stocks, include species and age distribution, forest structure, and climate variables. The paper reports on remote sensing experiments to determine the above-ground carbon stocks for a test site near Hinton, Alberta, Canada. It is expected that this approach will be useful in supporting Canada´s reporting commitments on the sustainability its forest resources
Keywords :
carbon; forestry; geophysical signal processing; geophysical techniques; remote sensing; sensor fusion; vegetation mapping; Alberta; C; Canada; GIS; Hinton; IR; LANDSAT TM imagery; above ground C; biomass; boreal forest; change; data fusion; forest resource; forestry; geophysical measurement technique; image processing; infrared; multi-source approach; multispectral remote sensing; vegetation mapping; visible region; Biomass; Forestry; Protocols; Remote monitoring; Remote sensing; Satellites; Sustainable development; Testing; Vegetation mapping; Welding;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.857986