439
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Analysis of the use of NDWIgreen and NDWIred for inland water mapping in the Yellow River Basin using Landsat-8 OLI imagery

ORCID Icon, ORCID Icon, , ORCID Icon &
Pages 996-1005 | Received 20 Nov 2016, Accepted 07 Jun 2017, Published online: 27 Jun 2017
 

ABSTRACT

Clear and green water bodies reflect more green light than red light, while brown water bodies reflect more red light than green light. It is thus believed that the normalized difference water indexes using the green band and infrared wavelengths (NDWIgreen) and the normalized difference water indexes using the red band and infrared wavelengths (NDWIred) would act differently in mapping inland water bodies with different colours. This study aims to evaluate the performance of NDWIgreen and NDWIred in mapping water bodies with different colours in the Yellow River Basin using the Landsat-8 Operational Land Imager (OLI) imagery. The results show that NDWIgreen and NDWIred achieve overall accuracy of 95.99–96.82% and 88.32–96.68% in clear water mapping, 95.58–96.35% and 93.50–94.60% in green water mapping, 88.12–92.63% and 90.08–93.10% in brown water mapping, respectively. It is shown that both NDWIgreen and NDWIred can serve the purpose of inland water mapping. Moreover, the comparative analysis suggests that NDWIgreen is more suitable for clear and green water mapping, while NDWIred is more adequate for brown water mapping.

Acknowledgments

The authors are indebted to the USGS for free imagery. We are grateful to Baolin Zhu for his help in collecting water quality data. We also want to thank the reviewers for their constructive comments which help improve this paper significantly.

Additional information

Funding

This study was financially supported by the Opening Project of Key Laboratory for the ecology and environment of river wetland in Shaanxi Province [Grant number SXSD201701], Natural Science Foundation of China [Grant number 41071271 and 41501460] and Shaanxi Province Foundation Research Project [Grant number 2015JM4132].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 83.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.