Abstract
Abstract. Water quality is an important index of the ecological environment, which changes rapidly and needs to be monitored chronically. In urban ecological environment, water quality problem is not only more serious, but also more complex in time and space. Remote sensing water quality monitoring can cover a large area in a short time. Therefore, remote sensing can be adopted to make up for the shortcomings of traditional water quality monitoring methods in space coverage and temporal resolution. In order to monitor the narrow rivers in urban area, low altitude remote sensing is needed. This paper proposes a multi-spectral water quality monitoring method based on UAV platform, which can quickly monitor an entire urban water area and conduct multi-temporal observation for key indices of water quality within one day. It is helpful to find and locate the polluted areas which affect the water environment quickly. Also, it can show the changes of water quality on the time axis. The result can provide a decision-making basis for water environment treatment.
Highlights
Water quality of the urban river directly affects the ecological environment quality
This paper proposed a Unmanned aerial vehicle (UAV)-borne multi-spectral remote sensing method for multi-temporal monitoring of urban river water quality
The water quality indices which are monitored in this paper are total phosphorus (TP), ammonia nitrogen (NH3-N) and chemical oxygen demand (COD)
Summary
Water quality of the urban river directly affects the ecological environment quality. Due to the time and space uncertainty of rain and wastewater discharge, water quality of the river changes frequently. It is necessary to monitor the whole water area with high accuracy and multi-temporal, and to obtain the water quality of rivers in time. The traditional methods of urban river water quality monitoring are to use high-precision manual sampling or set up monitoring stations (Behmel et al, 2016). The efficiency of manual sampling is low. Monitoring the water quality trend of the whole river is a big challenge for water quality monitoring
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