Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach
详细信息 查看全文
- 作者：Yuhao Yanga ; b ; yangyuhaonju@163.com" class="auth_mail" title="E-mail the corresponding author ; yangyuhaonju@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Yongxue Liua ; b ; d ; yongxue@nju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Minxi Zhoua ; b ; zhouminxi_103@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Siyu Zhanga ; b ; zhangsiyu19910711@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Wenfeng Zhanc ; zhanwenfeng@nju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Chao Suna ; b ; d ; sunchaonju@yeah.net" class="auth_mail" title="E-mail the corresponding author ; Yuewei Duana ; b ; yueweiduan@163.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Surface water extraction ; Water index ; Fuzzy clustering technique ; Landsat OLI ; Reflectance homogenization ; Seasonal analysis
- 刊名：Remote Sensing of Environment
- 出版年：2015
- 出版时间：15 December 2015
- 年：2015
- 卷：171
- 期：Complete
- 页码：14-32
- 全文大小：5827 K
文摘
- •
We designed a method to improve water detection accuracy in heterogeneous contexts.
- •
It was validated from different regions globally and various seasons.
- •
It was not limited to specific water bodies and sensors with similar spectral bands.
- •
Advantages of water index technique and a fuzzy clustering method were complemented.
- •
Accuracies were thoroughly analyzed in accordance with various water body types.