DocumentCode
2681512
Title
Dynamic monitoring of wetland in Maqu by means of remote sensing
Author
Cai, Dihua ; Guo, Ni
Author_Institution
Inst. of Arid Meteorol., Lanzhou
fYear
2007
fDate
23-28 July 2007
Firstpage
4603
Lastpage
4606
Abstract
In this paper, the spatial distribution and changes of Maqu wetlands were acquired by use of landsat-5 TM and landsat-7 ETM+ data in 1990, 1994, and 2001, and using GIS techniques and the Stepwise Discriminant Analysis of spatial- statistics, which based on seven variables, including band-1, band-2, band-3, band-4, band-5, band-7, and altitude, and avoided the lose and overlap of information. It was found that the extent of Maqu wetlands in 1990, 1994, and 2001 was 1151.70, 1103.25, and 1049.32 km2, respectively, which decreased with a ratio of 0.74% during 1990 and 2001. Preliminary analysis based on the meteorological data was carried out and showed that warming and arid climate and human activities played important roles in the wetland degradation over Maqu county.
Keywords
climatology; geographic information systems; geophysics computing; remote sensing; AD 1990 to 2001; GIS techniques; Maqu wetlands change; Stepwise Discriminant Analysis; altitude variable; arid climate; band-1 variable; band-2 variable; band-3 variable; band-4 variable; band-5 variable; band-7 variable; human activities; landsat-5 TM data; landsat-7 ETM+ data; meteorological data; spatial distribution; spatial-statistics; wetland degradation; Degradation; Geographic Information Systems; Humans; Information analysis; Meteorology; Remote monitoring; Remote sensing; Satellites; Statistical analysis; Statistical distributions; Climate change; Human activities; Maqu county; RS & GIS; Stepwise Discriminant Analysis; Wetland degradation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423883
Filename
4423883
Link To Document