Analyses of the Prądnik riverbed Shape Based on Archival and Contemporary Data Sets—Old Maps, LiDAR, DTMs, Orthophotomaps and Cross-Sectional Profile Measurements

• Published in: Remote sensing (Basel, Switzerland) Vol. 12; no. 14; p. 2208
• Main Authors: Szombara, Stanisław, Lewińska, Paulina, Żądło, Anna, Róg, Marta, Maciuk, Kamil
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2020
• Subjects: Cross-sections; Data acquisition; Data analysis; Datasets; Detection; Environmental management; Environmental protection; LiDAR; Mountains; multisource analysis; National parks; old maps; Polls & surveys; Prądnik River; Remote sensing; River banks; River beds; riverbed; Rivers; Shades; Studies; topographic map; Unmanned aerial vehicles; Water depth; Water management; Poland; Italy; Czech Republic; United States > US
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs12142208

Analyses of riverbed shape evolution are crucial for environmental protection and local water management. For narrow rivers located in forested, mountain areas, it is difficult to use remote sensing data used for large river regions. We performed a study of the Prądnik River, located in the Ojców National Park (ONP), Poland. A multitemporal analysis of various data sets was performed. Light detection and ranging (LiDAR)-based data and orthophotomaps were compared with classical survey methods, and 78 cross-sectional profiles were done via GNSS and tachymetry. In order to add an extra time step, the old maps of this region were gathered, and their content was compared with contemporary data. The analysis of remote sensing data suggests that they do not provide sufficient information on the state and changes of riverbanks, river course or river depth. LiDAR data sets do not show river bottoms, and, due to plant life, do not document riverbanks. The orthophotomaps, due to tree coverage and shades, cannot be used for tracking the whole river course. The quality of old maps allows only for general shape analysis over time. This paper shows that traditional survey methods provide sufficient accuracy for such analysis, and the resulted cross-sectional profiles can and should be used to validate other, remote sensing, data sets. We diagnosed problems with the inventory and monitoring of such objects and proposed methods to refine the data acquisition.