Lake water surface mapping in the Tibetan Plateau using the MODIS MOD09Q1 product

作者:Lu, SL (Lu, Shanlong)[ 1 ] ; Jia, L (Jia, Li)[ 1 ] ; Zhang, L (Zhang, Lei)[ 1 ] ; Wei, YP (Wei, Yongping)[ 2 ] ; Baig, MHA (Baig, Muhammad Hasan Ali)[ 3 ] ; Zhai, ZK (Zhai, Zhaokun)[ 1 ] ; Meng, JH (Meng, Jihua)[ 1 ] ; Li, XS (Li, Xiaosong)[ 1 ] ; Zhang, GF (Zhang, Guifang)[ 4 ]

REMOTE SENSING LETTERS

卷: 8  期: 3  页: 224-233

DOI: 10.1080/2150704X.2016.1260178

出版年: 2017

摘要

The Tibetan Plateau (TP) has the largest number of inland lakes with the highest elevation on the planet. Mapping the distribution of lake water in space and time is crucial for scientific research of interactions among the regional cryosphere, hydrosphere, and atmosphere. In this study, a lake water surface mapping algorithm is developed for Moderate Resolution Imaging Spectroradiometer (MODIS) MOD09Q1 surface reflectance images, which is used to produce the 8-day lake water surface data set (lake water surface area larger than 1 km(2)) of the TP (Qinghai-Tibet Plateau) for the period of 2000-2012. The accuracy analysis indicate that compared with water surface data of the 134 sample lakes extracted from the 30 m Landsat Thematic Mapper (TM) images, the average overall accuracy of the results is 91.81% with average commission and omission error of 3.26% and 5.38%; the results also show strong linear (the coefficient of determination R-2 is 0.9991) correlation with the global MODIS water mask data set with overall accuracy of 86.30%; and the lake area difference between the Second National Lake Survey and this study is only 4.74%, respectively. This study provides reliable data set for the lake change research of theTP in the recent decade.

通讯作者地址: Zhang, L (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 2 ] Univ Queensland, Sch Geog Planning & Environm Management, Brisbane, Qld, Australia

[ 3 ] Pakistan Meteorol Dept, Inst Meteorol & Geophys, Karachi, Pakistan

[ 4 ] Sun Yat Sen Univ, Sch Earth Sci & Geol Engn, Guangzhou, Guangdong, Peoples R China