Insights of remote sensing data to surmount rainfall/runoff data limitations of the downstream catchment of Pineios River, Greece

Elhag, Mohamed; Yilmaz, Nese

doi:10.1007/s12665-020-09289-5

Cited by 11 publications

(4 citation statements)

References 56 publications

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“…Despite the large amounts of available consistent remote sensing data concerning quantitative indices of the water cycle, only a couple of studies have focused on these aspects of the lake water cycle, e.g., water area, water level, or water storage [ 30 , 38 ]. However, there have been several applications of remote sensing techniques on the qualitative characteristics of inland water bodies [ 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. Hence, this research aims to target the long-term climatic trends of the natural lakes of western Greece, Trichonis, Lysimacheia, Ozeros, and Amvrakia, using remote sensing water area estimations as the main water content indicator.…”

Section: Introductionmentioning

confidence: 99%

Investigating Hydroclimatic Variables Trends on the Natural Lakes of Western Greece Using Earth Observation Data

Gourgouletis

Baltas

2023

Sensors

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Expected global climate change is allegedly becoming more intense, and the impacts on water resources are being tracked in various hydroclimatic regimes. The present research investigates a hydrologically important area of Greece, where four natural lakes are concentrated. It aims to quantify any potential long-term trends in lake water area, precipitation, and temperature timeseries. Water area timeseries spanning four decades are estimated by the mNDWI from Landsat satellite imagery and used as an index of each lake’s water storage. Precipitation and temperature measurements are obtained from the open access datasets Hydroscope and ERA5-Land, respectively. All of the timeseries were tested seasonally and annually with the Pettitt and Mann–Kendal tests for statistically significant breakpoints and trends detection. No timeseries analysis resulted in a statistically significant (at 0.05 or 0.1 levels) annual or seasonal trend. The hydroclimatic regime over the past forty years in western Greece is found to have been relatively stable. Land use was also assessed to have been relatively unchanging, converging to the overall stability of the local water regime. However, the findings of this research should not be interpreted as a reassurance against climate change, but as a call to further research for the detailed regional and local assessment of climate change and hydroclimatic variability with acknowledged statistical approaches.

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Section: Introductionmentioning

confidence: 99%

Investigating Hydroclimatic Variables Trends on the Natural Lakes of Western Greece Using Earth Observation Data

Gourgouletis

Baltas

2023

Sensors

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“…Despite the broad range of studies, depicting the applicability and efficiency of remote sensing methods to capture the inland water cycle, in Greece there have been several applications of remote sensing techniques over inland waters but none aiming to the observation of water level, area, or storage variation of a lake or reservoir [31][32][33][34][35][36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Estimating Reservoir Storage Variations by Combining Sentinel-2 and 3 Measurements in the Yliki Reservoir, Greece

et al. 2022

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Inland water resources are facing increasing quantitative and qualitative pressures, deriving from anthropogenic causes and the ongoing climate change. The monitoring of reservoirs is essential for sustainable management and preparation against water scarcity and extreme events, such as droughts. This research, relying on the Sentinel-2 and 3 missions, attempts to demonstrate the efficiency of combining remotely sensed water level and water area estimations, in order to estimate the water storage variation of Yliki reservoir. The case study is conducted in one of the few sufficiently monitored reservoirs in Greece, enabling a direct comparison of the proposed methodology results with in situ observations. Moreover, this research work proposes a weekly time interval for pairing level and area estimations, instead of shorter time intervals. The results strongly demonstrate the efficiency of remote sensing in the production of empirical level–area–storage (L–A–S) curves. Correlation to in situ monitored storage- and satellite-derived water level, area stand for 98.81% and 99.27% respectively. Water storage variation is estimated and compared to the observed time series, resulting in an RMSE of 1.28% of the reservoir capacity and a correlation of 96.14%. The empirical L–S relationship underestimates storage, while the A–S relationship overestimates storage when compared to the existing L–A–S curve.

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“…The study of catchment changes can be done through the Digital Elevation Model (DEM) using the remote sensing (RS) technique. The DEM data represent the elevation or topography of the earth's surface, which is very important for environmental studies [14], such as catchment delineation [15,16], stream network extraction [17,18], surface flow path mapping [19], different types of natural hazards [20], and also to model floods [21,22]. Various global open DEMs, such as Shuttle Radar Topography Mission (SRTM) from NASA, Advanced Land Observing Satellite (ALOS) from JAXA, and Copernicus from ESA, can be accessed freely online.…”

Section: Introductionmentioning

confidence: 99%

DEM Study on Hydrological Response in Makkah City, Saudi Arabia

et al. 2022

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The changes in catchments can be analyzed through the generation of DEM, which is important as input data in hydrologic modeling. This study aims to analyze the effect of anthropogenic activities on hydrological studies based on DEM comparison and GIUH hydrographs. The four DEM datasets (SRTM, ALOS, Copernicus, Sentinel-1) were compared to the topographic map of Makkah City and GPS data in order to assess the quality of the DEM elevation. The GIS Arc Hydro toolbox was used to extract morphometric and Horton–Strahler ratio characteristics to generate a GIUH hydrograph of the catchments of Wadi Nouman and Wadi Ibrahim inside Makkah City. Based on the DEM comparison, Copernicus and SRTM have the highest accuracy, with R2 = 0.9788 and 0.9765, and the lowest RMSE, 3.89 m and 4.23 m, respectively. ALOS and Sentinel-1 have the lowest R2, 0.9687 and 0.9028, and the highest RMSE, 4.27 m and 6.31 m, respectively. GIUH Copernicus DEM on Wadi Nouman has a higher qp and lower tp (0.21 1/h and 2.66 h) than SRTM (0.20 1/h and 2.75 h), respectively. On Wadi Ibrahim, the SRTM has a greater qp and lower tp than Copernicus due to the wadi having two shapes. Based on the anthropogenic effect, the stream network in the mountain area is quite similar for SRTM and Copernicus due to the dominant influence of the mountainous relief and relatively inconsequential influence of anthropogenic activities and DEM noise. In the urban area, the variation of the stream network is high due to differing DEM noise and significant anthropogenic activities such as urban redevelopment. The Copernicus DEM has the best performance of the others, with high accuracy, less RMSE, and stream flow direction following the recent condition.

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Insights of remote sensing data to surmount rainfall/runoff data limitations of the downstream catchment of Pineios River, Greece

Cited by 11 publications

References 56 publications

Investigating Hydroclimatic Variables Trends on the Natural Lakes of Western Greece Using Earth Observation Data

Investigating Hydroclimatic Variables Trends on the Natural Lakes of Western Greece Using Earth Observation Data

Estimating Reservoir Storage Variations by Combining Sentinel-2 and 3 Measurements in the Yliki Reservoir, Greece

DEM Study on Hydrological Response in Makkah City, Saudi Arabia

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