Assessment of the Water Area in the Lowland Region of the Mekong River Using MODIS EVI Time Series

被引:0
作者
Chien Pham Van [1 ]
Giang Nguyen-Van [1 ]
机构
[1] Thuyloi Univ, 175 Tay Son, Hanoi, Vietnam
来源
ADVANCED COMPUTATIONAL METHODS FOR KNOWLEDGE ENGINEERING (ICCSAMA 2019) | 2020年 / 1121卷
关键词
MODIS images; Mekong River; EVI; DELTA;
D O I
10.1007/978-3-030-38364-0_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an application of reconstructing Moderate-Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) time series to extract the water area in the lowland region of the Mekong River. Firstly, MODIS13A1 EVI time series with land surface reflectance 16day and 500 m spatial resolution is collected from 2000 to 2017, resulting total of 411 images. Then, these images are used for reconstructing EVI time-series by using the Whittaker smoother method on the Google Earth Engine. Next, the water area in each image is computed based on the smooth EVI value. The results showed that the extracting water areas in year 2000 was in line with the observed water elevation at Tan Chau station (for the Mekong Delta) and at Phnom Penh station (for the Cambodian region). The correlation coefficient between the extracting water area and water elevation equals to 0.885 for the Mekong Delta while its value is 0.924 for the Cambodian region. The extracting water area from MODIS13A1 EVI for the lowland region of the Mekong River can be used for assessment of inundated area resulting from different flow conditions as well as for studying inundation processes in the lowland region of the Mekong River when using hydrodynamic models.
引用
收藏
页码:197 / 207
页数:11
相关论文
共 11 条
[1]   Restructuring the Vietnamese Rice Sector: Towards Increasing Sustainability [J].
Demont, Matty ;
Rutsaert, Pieter .
SUSTAINABILITY, 2017, 9 (02)
[2]   Google Earth Engine: Planetary-scale geospatial analysis for everyone [J].
Gorelick, Noel ;
Hancher, Matt ;
Dixon, Mike ;
Ilyushchenko, Simon ;
Thau, David ;
Moore, Rebecca .
REMOTE SENSING OF ENVIRONMENT, 2017, 202 :18-27
[3]   A comparison of vegetation indices global set of TM images for EOS-MODIS [J].
Huete, AR ;
Liu, HQ ;
Batchily, K ;
vanLeeuwen, W .
REMOTE SENSING OF ENVIRONMENT, 1997, 59 (03) :440-451
[4]   A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine [J].
Kong, Dongdong ;
Zhang, Yongqiang ;
Gu, Xihui ;
Wang, Dagang .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 155 :13-24
[5]   Climate Change in the Mekong River Delta and Key Concerns on Future Climate Threats [J].
Le Anh Tuan ;
Chinvanno, Suppakorn .
ENVIRONMENTAL CHANGE AND AGRICULTURAL SUSTAINABILITY IN THE MEKONG DELTA, 2011, 45 :207-+
[6]  
Mekong River Commission, 2015, ANN MEKONG FLOOD REP
[7]   Detecting temporal changes in the extent of annual flooding within the Cambodia and the Vietnamese Mekong Delta from MODIS time-series imagery [J].
Sakamoto, Toshihiro ;
Nguyen, Nhan Van ;
Kotera, Akihiko ;
Ohno, Hiroyuki ;
Ishitsuka, Naoki ;
Yokozawa, Masayuki .
REMOTE SENSING OF ENVIRONMENT, 2007, 109 (03) :295-313
[8]   Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types [J].
Shi, Hao ;
Li, Longhui ;
Eamus, Derek ;
Huete, Alfredo ;
Cleverly, James ;
Tian, Xin ;
Yu, Qiang ;
Wang, Shaoqiang ;
Montagnani, Leonardo ;
Magliulo, Vincenzo ;
Rotenberg, Eyal ;
Pavelka, Marian ;
Carrara, Arnaud .
ECOLOGICAL INDICATORS, 2017, 72 :153-164
[9]   Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine [J].
Wang, Xinxin ;
Xiao, Xiangming ;
Zou, Zhenhua ;
Chen, Bangqian ;
Ma, Jun ;
Dong, Jinwei ;
Doughty, Russell B. ;
Zhong, Qiaoyan ;
Qin, Yuanwei ;
Dai, Shengqi ;
Li, Xiangping ;
Zhao, Bin ;
Li, Bo .
REMOTE SENSING OF ENVIRONMENT, 2020, 238 (238)
[10]  
Whittaker E. T., P EDINBURGH MATH SOC, V41, P63