Monitoring Grassland Tourist Season of Inner Mongolia, China Using Remote Sensing Data
Joint Authors
Ge, Quansheng
Qiao, Zhi
Yang, Xi
Liu, Hao Long
Liu, Jun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-10
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Phenology-driven events, such as spring wildflower displays or fall tree colour, are generally appreciated by tourists for centuries around the world.
Monitoring when tourist seasons occur using satellite data has been an area of growing research interest in recent decades.
In this paper, a valid methodology for detecting the grassland tourist season using remote sensing data was presented.
On average, the beginning, the best, and the end of grassland tourist season of Inner Mongolia, China, occur in late June (±30 days), early July (±30 days), and late July (±50 days), respectively.
In south region, the grassland tourist season appeared relatively late.
The length of the grassland tourist season is about 90 days with strong spatial trend.
South areas exhibit longer tourist season.
American Psychological Association (APA)
Ge, Quansheng& Yang, Xi& Qiao, Zhi& Liu, Hao Long& Liu, Jun. 2014. Monitoring Grassland Tourist Season of Inner Mongolia, China Using Remote Sensing Data. Advances in Meteorology،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-504034
Modern Language Association (MLA)
Ge, Quansheng…[et al.]. Monitoring Grassland Tourist Season of Inner Mongolia, China Using Remote Sensing Data. Advances in Meteorology No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-504034
American Medical Association (AMA)
Ge, Quansheng& Yang, Xi& Qiao, Zhi& Liu, Hao Long& Liu, Jun. Monitoring Grassland Tourist Season of Inner Mongolia, China Using Remote Sensing Data. Advances in Meteorology. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-504034
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504034