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

Advances in Meteorology

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

Physics

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