Can small reservoirs be used to gauge stream runoff?

ABSTRACT This paper reports the application of information acquired by aerial survey to characterize water supply reservoirs in the Pajeú River Basin (Pernambuco State/Brazil). The survey was carried out with digital cameras of high spatial resolution and laser relief profiling (LiDAR technology). Two areas were selected to apply the remote sensing products. Small reservoirs in the Quixaba Creek Basin were identified based on their topographic characteristics. Given that the small reservoirs are “depressions” in the terrain, they can be “filled”, resulting in a new Digital Terrain Model (DTM). The difference between the filled DTM and the original DTM makes it possible to identify the reservoirs. A summary of the results is: 61 reservoirs were correctly detected; 18 reservoirs were not detected; 13 reservoirs were detected erroneously. In another application, the storage capacity of the reservoirs belonging to the hydrosystems of Pajeú River Basin was estimated. The storage in these reservoirs and maximum surface area were estimated using DTM and geoprocessing tools. From the total of 31 reservoirs evaluated, eight were completely empty at the time of the LiDAR data collection. The official registers reported 83.83 million m3 for the storage capacity of these eight reservoirs, whereas our applications estimated the value at 70.23 million m3. This difference is explained by the loss of volume in the reservoirs due to the process of sediment transport.

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An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs

Remote Sensing ◽

10.3390/rs12091514 ◽

2020 ◽

Vol 12 (9) ◽

pp. 1514 ◽

Cited By ~ 2

Author(s):

Carmen Cillero Castro ◽

Jose Antonio Domínguez Gómez ◽

Jordi Delgado Martín ◽

Boris Alejandro Hinojo Sánchez ◽

Jose Luis Cereijo Arango ◽

...

Keyword(s):

Near Infrared ◽

Spectral Band ◽

Water Reservoir ◽

Cyanobacterial Blooms ◽

Landsat 8 ◽

Chl A ◽

Multispectral Data ◽

Small Reservoirs ◽

In Situ Data ◽

Drinking Water Reservoir

A multi-sensor and multi-scale monitoring tool for the spatially explicit and periodic monitoring of eutrophication in a small drinking water reservoir is presented. The tool was built with freely available satellite and in situ data combined with Unmanned Aerial Vehicle (UAV)-based technology. The goal is to evaluate the performance of a multi-platform approach for the trophic state monitoring with images obtained with MultiSpectral Sensors on board satellites Sentinel 2 (S2A and S2B), Landsat 8 (L8) and UAV. We assessed the performance of three different sensors (MultiSpectral Instrument (MSI), Operational Land Imager (OLI) and Rededge Micasense) for retrieving the pigment chlorophyll-a (chl-a), as a quantitative descriptor of phytoplankton biomass and trophic level. The study was conducted in a waterbody affected by cyanobacterial blooms, one of the most important eutrophication-derived risks for human health. Different empirical models and band indices were evaluated. Spectral band combinations using red and near-infrared (NIR) bands were the most suitable for retrieving chl-a concentration (especially 2 band algorithm (2BDA), the Surface Algal Bloom Index (SABI) and 3 band algorithm (3BDA)) even though blue and green bands were useful to classify UAV images into two chl-a ranges. The results show a moderately good agreement among the three sensors at different spatial resolutions (10 m., 30 m. and 8 cm.), indicating a high potential for the development of a multi-platform and multi-sensor approach for the eutrophication monitoring of small reservoirs.

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Pirates or pioneers? Unplanned irrigation around small reservoirs in Burkina Faso

Agricultural Water Management ◽

10.1016/j.agwat.2013.07.001 ◽

2014 ◽

Vol 131 ◽

pp. 212-220 ◽

Cited By ~ 22

Author(s):

Charlotte de Fraiture ◽

Gael Ndanga Kouali ◽

Hilmy Sally ◽

Priva Kabre

Keyword(s):

Burkina Faso ◽

Small Reservoirs

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