Title
Detection of land cover and thermal environment change in Beijing from TM images
Abstract
This paper focuses on the detection of land cover and thermal environmental change over 20 years in Beijing using TM data collected on 17 June, 1991, and 8 June, 2011, respectively. For observing the urban expansion and thermal environment change in the whole Beijing governmental region, the central urban area and satellite towns were firstly recognized and detected, and then the central urban areas was divided into 5 areas based on the ring roads. After image mosaicking, masking and clipping, sample data of land cover types as water bodies, green land, bare land, construction land, farm land, and forest were collected and trained. Classification was performed using object-based support vector machine algorithm. Accuracy assessment of the classification results was conducted according to ground truth of regions of interest. The conversion matrix and band math were used to detect the land cover and thermal environment change respectively from 1991 to 2011. The results showed that, over the last 20 years, the central urban size was 5 times larger than before, construction land increased, and farm land and water bodies decreased, especially for areas outside the third ring road. Besides, UHI intensity in nearly 60% of the areas within the sixth ring road increased by more than 4 degree, and only 2% of the areas decreased. Both are consistent with the real status of the rapid development of economy and urbanization in Beijing.
Year
DOI
Venue
2013
10.1109/Geoinformatics.2013.6626179
Geoinformatics
Keywords
Field
DocType
terrain mapping,image clipping,construction land,land cover,beijing governmental region,beijing,object-based support vector machine algorithm,central urban area,thermal environment change,satellite towns,image segmentation,matrix algebra,tm,tm images,image classification,geophysical image processing,urban expansion,land cover types,conversion matrix,farm land,band math,thermal environment,third ring road,image masking,image mosaicking,support vector machines,water bodies,remote sensing,satellites,earth,accuracy
Urban heat island,Ring road,Urbanization,Remote sensing,Environmental change,Ground truth,Land cover,Urban area,Mathematics,Beijing
Conference
Volume
Issue
ISSN
null
null
2161-024X
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Guoyin Cai12511.55
Mingyi Du248.65
Hongchen Yang300.34
Hongyu Ma4354.76
Yahui Che500.34