Title :
The dynamically remote sensing monitoring and impacts of climatic change on Maqu wetland in 2002–2010
Author :
Han, Lanying ; Guo, Ni ; Li, Yaohui ; Ma, Pengli ; Yin, Dong
Author_Institution :
Key Open Lab. of Arid Climatic Change & Reducing Disaster of CMA, CMA, Beijing, China
Abstract :
Wetland Ecosystem is one of important ecosystem in forest, ocean and wetland ecosystems. The wetland ecosystem is very important in global climate change and environmental protection. At present, remote sensing and GIS are widely applied to environmental research. In this paper, based on MODIS from 2002s to 2010s and combined with field data from 2001 to 2010, using GIS techniques and the human-machine interactive remote sensing interpretation method, which is adopted to analysis spatial statistics and avoid the lose and overlap of information, the dynamic monitoring of temporal and spatial variation of wetland ecosystem in Maqu County, Gansu Province, China was conduced. The result found that the wetland area decreased from 431.21 km2 to 183.00 km2 from 2002s to 2010s in Maqu County. The meteorological data from 1970s to 2010s was carried out and showed that warming and arid climate played important roles in the wetland degradation over Maqu County.
Keywords :
climatology; ecology; environmental monitoring (geophysics); geographic information systems; hydrological techniques; remote sensing; statistical analysis; AD 1970 to 2010; China; GIS techniques; Gansu Province; MODIS; Maqu County; Maqu wetland; arid climate; climatic change impacts; dynamic monitoring method; dynamical remote sensing monitoring; environmental protection; forest ecosystem; global climate change; human-machine interactive remote sensing interpretation method; meteorological data; ocean ecosystem; spatial statistical analysis; spatial variation; temporal variation; wetland degradation rate; wetland ecosystem; Ecosystems; Humidity; Monitoring; Remote sensing; Rivers; Temperature; Maqu; climate change; remote sensing; wet land;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352211