Abstract
Abstract Planning an event-based monitoring campaign on the regional scale is challenging, e.g. the timing and location of monitoring visits can dramatically impact monitoring efficacy and depends on the optimal environmental conditions required by the measurement parameters and the overarching monitoring goal. Therefore we developed a generic campaign planning approach utilizing interactive visualization methods and implemented this approach into the component-based web tool called Tocap: Tool for Campaign Planning. As a case study, we determine the most suitable time and location for event-driven, ad-hoc monitoring in hydrology using soil moisture measurements as our target variable. Our approach supports: (1) data acquisition from various digital data sources, (2) identification of the most suitable locations for measurements, (3) identification of the most suitable time for measurements at the selected locations, and (4) planning an optimized monitoring route.
Highlights
A deeper understanding of the Earth system as a whole and its interacting sub-systems depends on both, accurate mathematical approximations of the physical processes and the availability of environmental data across time and spatial scales
Local and mesoscale monitoring continues to be the backbone in many disciplines such as population ecology (Rockwood 2015; Smith et al 2017) and hydrology (Li et al 2020)
Our technical concept considers the integration of data from three major data sources into Tocap (Figure 2): data from the user’s hard drive; data from standardized services such as Web Mapping Service (WMS), Web Coverage Service (WCS), and Web Feature Service (WFS) technologies; as well as data sent by the backend module of Tocap, which provides tailor-made solutions for data retrieval and processing from common environmental databases
Summary
A deeper understanding of the Earth system as a whole and its interacting sub-systems depends on both, accurate mathematical approximations of the physical processes and the availability of environmental data across time and spatial scales. The selection of suitable monitoring frequency is influenced by technological constraints such as the incomplete automation of in-situ parameter estimation procedures as well as temporal characteristics of time-variant environmental factors such as habitat quality, temperature, and precipitation (Bonneau et al 2018) This is even more important for adhoc monitoring campaigns of distinct dynamic events such as heavy precipitation events, floods, and droughts which require an adequate design that can evolve throughout the event and depending on the available data. The proposed approach comprises a visual-analytical tool to provide an interactive web-based environment for a suitable representation and analysis of geographical datasets in the context of ad-hoc campaign planning. The following subsections will discuss each step and task, and provide details on how the individual requirements are addressed
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