Combining and Comparing an Unmanned Aerial Vehicle and Multiple Remote Sensing Satellites to Calculate Long-Term River Discharge in an Ungauged Water Source Region on the Tibetan Plateau

Hezhen Lou,Fanghua Hao,Liuhua Shi,Pengfei Wang,Shengtian Yang,Xiaoyu Ren,Tongliang Gong,Juan Wang,Yue Wang

doi:10.3390/rs12132155

Abstract

Research into global water resources is challenged by the lack of ground-based hydrometric stations and limited data sharing. It is difficult to collect good quality, long-term information about river discharges in ungauged regions. Herein, an approach was developed to determine the river discharges of 24 rivers in ungauged regions on the Tibetan Plateau on a long-term scale. This method involved coupling the Manning–Strickler formula, and data from an unmanned aerial vehicle (UAV) and the Gaofen-2, SPOT-5, and Sentinel-2 satellites. We also compared the discharges calculated by using the three satellites’ data. Fundamental information about the rivers was extracted from the UAV data. Comparison of the discharges calculated from the in-situ measurements and the UAV data gave an R2 value of 0.84, an average NSE of 0.79, and an RMSE of 0.11 m3/s. The river discharges calculated with the GF-2 remote sensing data and the in-situ experiments for the same months were compared and the R2, RMSE, and the NSE were 0.80, 1.8 m3/s, and 0.78, respectively. Comparing the discharges calculated over the long term from the measured in-situ data and the SPOT-5 and Sentinel-2 data gave R2 values of 0.93 and 0.92, and RMSE values of 2.56 m3/s and 3.16 m3/s, respectively. The results showed that the GF-2 and UAV were useful for calculating the discharges for low-flow rivers, while the SPOT-5 or the Sentinel-2 satellite gave good results for high-flow river discharges in the long-term. Our results demonstrate that the discharges in ungauged tributaries can be reliably estimated in the long-term with this method. This method extended the previous research, which described river discharge only in one period and provided more support to the monitoring and management of the tributaries in ungauged regions.

Highlights

Half a billion people in the world currently experience severe water scarcity year-round
The present study focused on 13 rivers in the northern Kunlun Mountains and 11 rivers in the southern Kunlun Mountains, where in-situ experiments (UAV flying, river discharge surveys, and depth surveys) were carried out and the river discharges were calculated (Figure 1)
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Summary

Introduction

Half a billion people in the world currently experience severe water scarcity year-round. Rivers are the main source of freshwater for humans and natural ecological systems. To ensure human health and wellbeing, it is very important to monitor river discharge and manage water resources [1,2,3]. River discharge data are mainly collected by traditional ground-based hydrometric stations. Hydrometric stations, are sparsely distributed in most areas of the world, in developing countries [4,5]. The situation is getting worse, as the number of traditional ground-based hydrometric stations has been decreasing globally year-by-year [2,6,7]. We urgently need to find new ways to derive information about river discharge [9]

Methods

Results

Discussion

Conclusion