DocumentCode :
3069534
Title :
Monitoring the dynamics of forest area in Anshan based on TM images
Author :
Di Liu ; Chunxiang Cao ; Min Xu ; Yuxing Zhang ; Guangren Ma
Author_Institution :
Inst. of Remote Sensing & Digital Earth, State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
3833
Lastpage :
3836
Abstract :
Forest area as an important parameter of the forest resources, to obtain forest area timely access is very significant for the monitoring forest resources. Remote sensing technology, because of its characteristics of multi-temporal and large-scale, is widely used on the quick access to the forest information [1-2]. The study area in this paper is Anshan, and we will select the highest accuracy classification from supervised classification, unsupervised classification and object-oriented classification to extract the forest area of Anshan in 1995, 2000 and 2006. The results showed that: the forest area of Anshan in three periods (1995, 2000 and 2006) is: 4588km2, 4668km2 and 4698km2.
Keywords :
geophysical image processing; image classification; vegetation mapping; AD 1995; AD 2000; AD 2006; Anshan; China; TM images; forest area dynamics monitoring; forest information; object oriented classification; remote sensing; unsupervised classification; Accuracy; Cities and towns; Earth; Monitoring; Remote sensing; Rivers; Satellites; Forest area; TM image; classification method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723667
Filename :
6723667
Link To Document :
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