DocumentCode :
1938624
Title :
Notice of Retraction
Spatial vertical distribution rule analysis of forest biomass based on remote sensing
Author :
Jinling Yang ; Xiange Cao ; Wenyi Fan ; Mingze Li
Author_Institution :
Forestry Coll., Sch. of Surveying & Mapping Eng., Northeast Forestry Univ., Harbin, China
Volume :
9
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
593
Lastpage :
595
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Mankind currently is facing with the most serious environmental problems, such as the loss of forests, pollution, biodiversity loss, especially CO2 produced by human activities and sharp rise in the concentration of Greenhouse Effect resulted from it, so the global carbon cycle is becoming mankind´s major concern. However, analysis of changes in forest biomass is the basis to carbon cycle and dynamic analysis of a terrestrial ecosystem. By using remote sensing technology, on the basis of forest biomass in Heilongjiang Changbai Mountain in China among the four periods: 1970s, 1980s, 1990s and after 2000 which inverted from quantitative geoscience model of remote sensing, based on ENVI remote sensing information platform, it discussed the spatial changes pattern of forest biomass on the study area, 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 altitudes the forest biomass smaller; 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 is largest in the region of aspect less than 5°, reaching 28%.
Keywords :
air pollution; atmospheric boundary layer; atmospheric composition; ecology; remote sensing; vegetation; CO2; China; ENVI remote sensing information platform; Greenhouse Effect; Heilongjiang Changbai Mountain; biodiversity loss; forest biomass; geoscience model; global carbon cycle; human activities; remote sensing technology; spatial changes pattern; spatial vertical distribution rule analysis; terrestrial ecosystem; Educational institutions; Remote sensing; carbon cycle; forest biomass; vertical distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5564008
Filename :
5564008
Link To Document :
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