Spatio-Temporal Analysis of Wetland Changes Using a Kernel Extreme Learning Machine Approach
Natural wetland ecosystems provide not only important habitats for many wildlife species, but also food for migratory and resident animals. In Shanghai, the Chongming Dongtan International Wetland, located at the mouth of the Yangtze River, plays an important role in maintaining both ecosystem healt...
Main Authors: | Yi Lin, Jie Yu, Jianqing Cai, Nico Sneeuw, Fengting Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/7/1129 |
Similar Items
-
FORECASTING THE FUTURE PATTERN OF LAND USE AND LAND COVER CHANGE IN THE WETLAND ECOSYSTEM OF THE PORT-HARCOURT METROPOLIS
by: Wali E, et al.
Published: (2018-01-01) -
Spatio-Temporal Change Detection and Its Impact on the Waterbodies by Monitoring LU/LC Dynamics - A Case Study from Holy City of Ratanpur, Chhattisgarh, India
by: J. P. Koshale and Anupama Mahato
Published: (2020-12-01) -
Recognizing the Aggregation Characteristics of Extreme Precipitation Events Using Spatio-Temporal Scanning and the Local Spatial Autocorrelation Model
by: Changjun Wan, et al.
Published: (2021-02-01) -
Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh
by: Md. Inzamul Haque, et al.
Published: (2017-12-01) -
SOME CONTRIBUTION OF SOFT PRE-OPEN SETS TO SOFT W-HAUSDORFF SPACE IN SOFT TOPOLOGICAL SPACES
by: Arif Mehmood Khattak, et al.
Published: (2018-01-01)