River / channel transmission losses
Satellite(s)e.g., RapidEye. | Monitoring elementRiver geomorphologic characteristics, water spectral reflectance. |
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Description techniqueCosta et al. (2013) combine the information from streamflow and groundwater level series with multi-temporal satellite data to derive a hydrological concept of channel transmission losses. | Accuracy / ResolutionSpatial resolution: 5 m. |
Case study60-km-long reach of Jaguaribe River, semi-arid north-eastern Brazil. | |
Benefits
| Limitations
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Applicability for NorthlandYes, possibly depending on rivers' characteristics. Yet, an important limitation would come from the need to acquire high-resolution imagery, which at the moment is not available freely, and would therefore induce monitoring costs. Techniques applying optical data will be limited in coverage and temporal granularity by the persistent cloud cover in the region, particularly during the winter months. Mature cloud-masking techniques are directly available for open access multispectral data (e.g. Landsat and Sentinel-2). When using commercial data, care must be taken to ensure that there is sufficiently cloud free imagery available, as cloud masking is not as mature, and ordering a large volume of imagery to ensure complete cloud free coverage between multiple observations can become cost prohibitive. | |
Publication referencesCosta AC, Foerster S, de Araújo JC, Bronstert A. 2013. Analysis of channel transmission losses in a dryland river reach in north-eastern Brazil using streamflow series, groundwater level series and multi-temporal satellite data. Hydrological Processes. 27(7):1046-1060. doi:10.1002/hyp.9243 | |
Other comments or informationRapidEye was decommissioned in 2020. |