DocumentCode
3418448
Title
Vertical distribution analysis of forest biomass changes
Author
Yang, Jinling ; Xiange Cao ; Fan, Wenyi ; Cao, Xianmi
Author_Institution
Forestry Coll., Sch. of Surveying & Mapping Eng., Northeast Forestry Univ., Harbin, China
Volume
5
fYear
2010
fDate
25-27 June 2010
Abstract
Forest plays an important role in the global carbon cycle, carbon sequestration based on forest biomass is an important part in the global efforts to reduce emissions. Research on distribution of the biomass can deepen the understanding of the carbon cycle. Remote sensing with the characteristics of cyclical and regional coverage has become an effective means of forest biomass regional survey. we established regression model between NDVI (Normalized Difference Vegetation Index) and forest biomass based on Landsat TM and ETM data, on this basis, calculated forest biomass of 1970s, 1980s and 1990s in Changbai Mountain area of Heilongjiang, Combined with GIS software the spatial changes pattern of forest biomass of the study area was discussed, especially the trend of the forest biomass with elevation, slope, aspect changes respectively. It concluded that the spatial vertical distribution of forest biomass in the study area is: in the elevation of 300 meters the forest biomass is maximum, about 35%, the higher elevation the smaller forest biomass; the distribution of forest biomass with the slope of the descending order is the gentle slope> flat slope> incline slope> steep slope> urgent slope> dangerous slope; and forest biomass in the region of aspect less than 5° is the largest, reaching 28%. In the past three decades, forest biomass change with the aspect almost consistent, all emerged the following rules: forest biomass in southeast slope and southwest slope has the proportion of the smallest is about 7%.
Keywords
forestry; geographic information systems; regression analysis; remote sensing; ETM data; GIS software; Landsat TM; carbon sequestration; emission reduction; forest biomass changes; global carbon cycle; normalized difference vegetation index; regression model; remote sensing; vertical distribution analysis; Biomass; Carbon dioxide; Design engineering; Distributed computing; Ecosystems; Forestry; Geographic Information Systems; Remote sensing; Satellites; Vegetation mapping; Remote sensing; carbon cycle; forest biomass; vertical distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location
Qinhuangdao
Print_ISBN
978-1-4244-7164-5
Electronic_ISBN
978-1-4244-7164-5
Type
conf
DOI
10.1109/ICCDA.2010.5540863
Filename
5540863
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