Skip to main content
padlock icon - secure page this page is secure

Spatiotemporal analysis of water area annual variations using a Landsat time series: a case study of nine plateau lakes in Yunnan province, China

Buy Article:

$60.00 + tax (Refund Policy)

Lakes are sensitive to both climate change and human activities, and therefore serve as an excellent indicator of environmental change. Based on a time series of Landsat images over the last 16 years, this article attempts to provide a first picture of the annual variations in area of nine plateau lakes in Yunnan province, China. The modified normalized difference water index (MNDWI) and object-based image analysis (OBIA) are used to extract the waterbodies. Compared with the visual interpretation (VI) of the lakes, the precision of the combined method is greater than 99.7%. A spatiotemporal analysis is also carried out for the lakes. The results show that the water areas of most of the plateau lakes have been stable over the last 16 years, although some years have shown significant changes. However, it should be noted that Lake Qilu and Lake Yilong shrunk significantly after 2011. Moreover, the orientation of the shrinkage is different. Limited evidence suggests that the differences in the area change of the nine plateau lakes are caused by both climate change and human activities.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: School of Resources and Environmental Engineering, Anhui University, Hefei, China 2: School of Resource and Environmental Sciences, Wuhan University, Wuhan, China 3: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China 4: Key Laboratory of Watershed Geographic Sciences, Chinese Academy of Sciences, Nanjing, China

Publication date: December 16, 2016

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more