Next Article in Journal
The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future
Previous Article in Journal
Spatial Variability and Detection Levels for Chlorophyll-a Estimates in High Latitude Lakes Using Landsat Imagery
Open AccessArticle

Sensing Images for Assessing the Minimum Ecological Flux by Automatically Extracting River Surface Width

1
Faculty of Geomatics, East China University of Technology, Nanchang 330013, China
2
Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China
3
Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China
4
Ministry of Ecology and Environment of the People’s Republic of China, Beijing 100006, China
5
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(18), 2899; https://doi.org/10.3390/rs12182899
Received: 13 July 2020 / Revised: 31 August 2020 / Accepted: 2 September 2020 / Published: 7 September 2020
Global warming and economic development have intensified the evaporation and exploitation of river waters, resulting in reduced global river runoff. In minimum ecological flux management, objective determination of the minimum ecological flux and evaluation of whether a river complies with standards are urgently required. Satellite remote sensing allows for rapid, large-scale, and dynamic monitoring. Herein, the Tangmazhai cross-section of the Taizi River was analyzed using the Chinese Gaofen (GF) series satellite that comprises panchromatic multi-spectral sensors and the Sentinel-2 multi-spectral images to automatically extract the water surface width. We applied the Normalized Difference Water Index (NDWI)-Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA) to 225 cloudless scenes from January 2015 to November 2019. We proposed a method to evaluate the minimum ecological flux using water surface width. The river surface width at this location increased from January 2015 to November 2019, and all widths exceeded the minimum river surface water width for the month. The degree of the minimum ecological flux guarantee was determined to be satisfactory. Because there are less clouds and rain in the North China than South China, our results may be used for evaluating the degree of minimum ecological flux guarantee of many river sections in the north China through monthly monitoring. View Full-Text
Keywords: minimum river surface width; river surface width; GF; Sentinel-2; minimum ecological flux minimum river surface width; river surface width; GF; Sentinel-2; minimum ecological flux
Show Figures

Figure 1

MDPI and ACS Style

Xu, W.; Shen, Q.; Wang, X.; Wang, Q.; Yao, Y.; Huang, W.; Wang, M.; Li, J.; Zhang, F.; Chen, X. Sensing Images for Assessing the Minimum Ecological Flux by Automatically Extracting River Surface Width. Remote Sens. 2020, 12, 2899. https://doi.org/10.3390/rs12182899

AMA Style

Xu W, Shen Q, Wang X, Wang Q, Yao Y, Huang W, Wang M, Li J, Zhang F, Chen X. Sensing Images for Assessing the Minimum Ecological Flux by Automatically Extracting River Surface Width. Remote Sensing. 2020; 12(18):2899. https://doi.org/10.3390/rs12182899

Chicago/Turabian Style

Xu, Wenting; Shen, Qian; Wang, Xuelei; Wang, Qian; Yao, Yue; Huang, Wei; Wang, Mingxiu; Li, Junsheng; Zhang, Fangfang; Chen, Xiaoyong. 2020. "Sensing Images for Assessing the Minimum Ecological Flux by Automatically Extracting River Surface Width" Remote Sens. 12, no. 18: 2899. https://doi.org/10.3390/rs12182899

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop