scholarly journals Change Detection of Lake Chad Water Surface Area Using Remote Sensing and Satellite Imagery

2021 ◽  
Vol 13 (05) ◽  
pp. 561-577
Author(s):  
Abdel-Aziz Adam Mahamat ◽  
Adeeba Al-Hurban ◽  
Nehaya Saied
Keyword(s):  
Remote Sensing ◽  
Change Detection ◽  
Surface Area ◽  
Satellite Imagery ◽  
Water Surface ◽  
Lake Chad ◽  
Water Surface Area

scholarly journals Building a model for predicting the water level in a river using remote sensing data from open sources

2020 ◽  
Vol 223 ◽  
pp. 02006
Author(s):  
Alexey Kolesnikov ◽  
Pavel Kikin ◽  
Anastasia Nungesser
Keyword(s):  
Remote Sensing ◽  
Snow Cover ◽  
Water Level ◽  
Surface Area ◽  
Water Surface ◽  
Open Data ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Water Surface Area

The article discusses the possibility of predicting the water surface area of a river (and based on these values, the calculation of the water level) based on only open data of remote sensing. The area and depth of snow cover, the intensity of precipitation according to Landsat and Sentinel data and the monitoring indicators MODIS, Copernicus, REMSS are used as initial parameters. For the selected parameters, the degree of influence on the final forecast was assessed.

scholarly journals Determination of Water Surface and Vegetation Change in Akkaya Reservoir Basin Using Remote Sensing Method

2020 ◽  
Vol 8 (5) ◽  
pp. 1174-1180
Author(s):  
Orhun Soydan
Keyword(s):  
Remote Sensing ◽  
Surface Area ◽  
Water Surface ◽  
Vegetation Change ◽  
Satellite Images ◽  
Vegetation Index ◽  
Reservoir Water ◽  
Water Surface Area ◽  
Index Analysis ◽  
Reservoir Basin

In the study, the temporal change analysis of Akkaya Reservoir in Niğde was made. The Reservoir was established in 1964. The change of reservoir between 1999, 2009 and 2019 was analyzed using remote sensing method. Satellite images used in the study belong to August (1999, 2009, 2019). MNDWI (Modified Normalized Difference Water Index) analysis was used. With the results of this analysis; the amount of water surfaces in the reservoir basin was calculated by years. After this analysis, NDVI (Normalized Difference Vegetation Index) analysis was used and land cover types were determined by CORINE. It has been determined that the water surface map of 2009 covers a larger area compared to other years. When only the area where the reservoir is located is evaluated by the polynomial equation (2nd degree), there may be a decrease of approximately 26% in the reservoir water surface area within 15 years. As a result of the study, it has been determined that Landsat satellite data can be used to determine the water surface amounts. If study in smaller areas will be done, use the lower resolution satellite images are suggested. In this study, MNDWI analysis was found more successful than NDVI analysis to find water surface area. Multi-band satellite images provide important qualitative information in evaluating the functions used in ecosystem-based planning studies.

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