Continuous Monitoring of the Surface Water Area in the Yellow River Basin during 1986–2019 Using Available Landsat Imagery and the Google Earth Engine
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area and Data Processing
2.2. Surface Water Body Mapping Algorithm
2.3. Accuracy Assessment
2.4. Linear Slope Calculation
2.5. Partial Correlation Analysis
3. Results
3.1. Surface Water Body Classification Results and Accuracy Validation
3.2. Spatial Distribution of the Surface Water Bodies in the YRB
3.3. Changes in the SWA in the YRB from 1986 to 2019
3.4. Conversions of Different Types of Surface Water Bodies
3.5. Relationship between SWA and Environmental Factors
4. Discussion
4.1. Potential Influence Mechanism of the Environmental Factors on the SWA
4.2. Uncertainties
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Hu, Q.; Li, C.; Wang, Z.; Liu, Y.; Liu, W. Continuous Monitoring of the Surface Water Area in the Yellow River Basin during 1986–2019 Using Available Landsat Imagery and the Google Earth Engine. ISPRS Int. J. Geo-Inf. 2022, 11, 305. https://doi.org/10.3390/ijgi11050305
Hu Q, Li C, Wang Z, Liu Y, Liu W. Continuous Monitoring of the Surface Water Area in the Yellow River Basin during 1986–2019 Using Available Landsat Imagery and the Google Earth Engine. ISPRS International Journal of Geo-Information. 2022; 11(5):305. https://doi.org/10.3390/ijgi11050305
Chicago/Turabian StyleHu, Qingfeng, Chongwei Li, Zhihui Wang, Yang Liu, and Wenkai Liu. 2022. "Continuous Monitoring of the Surface Water Area in the Yellow River Basin during 1986–2019 Using Available Landsat Imagery and the Google Earth Engine" ISPRS International Journal of Geo-Information 11, no. 5: 305. https://doi.org/10.3390/ijgi11050305
APA StyleHu, Q., Li, C., Wang, Z., Liu, Y., & Liu, W. (2022). Continuous Monitoring of the Surface Water Area in the Yellow River Basin during 1986–2019 Using Available Landsat Imagery and the Google Earth Engine. ISPRS International Journal of Geo-Information, 11(5), 305. https://doi.org/10.3390/ijgi11050305