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BY: Faith Ueckermann, IVM & GIS Specialist, Grow With Trees

Why Accuracy Matters

Accurate and consistent data collection is essential to a successful vegetation monitoring program. Small inconsistencies in the field can create significant challenges when data is reviewed and analyzed later. When information is collected consistently, less time is needed for data cleaning and quality control, and there is greater confidence that the results accurately represent conditions on the ground.

Plot Location and Photo Collection

Accurate plot locations are especially important when monitoring the same plots over multiple years. Returning to the same location allows changes in vegetation to be tracked over time and helps demonstrate the impacts of vegetation management treatments. However, leaving permanent stakes or other physical markers is not always practical. Delineating plot boundaries within GIS provides an alternative, giving future collectors a consistent spatial reference to help them return to the same location year after year.

Photos provide additional context that may not be captured through survey fields alone. For permanent plots, photos taken from the same location and direction can provide a clear before and after record of vegetation conditions. Establishing guidelines for the number, location, direction, and subject of photos makes these comparisons more meaningful. Paired with accurate plot locations and monitoring data, repeat photography can document how a site is evolving and visually communicate treatment results.

Avoiding Data Entry Errors

A well-designed survey should make it as easy as possible for users to enter information correctly. One of the simplest ways to improve consistency is to use dropdown menus rather than standard text entry. For example, species names entered manually may include spelling errors, abbreviations, or different versions of common names. A standardized species dropdown ensures that the same species is recorded consistently by every user.

Standardized data lists (See Figure 3 to the left) can also be used to reinforce key vegetation management messages with field collectors. Compatible species that the utility wants to conserve can be marked with a designation such as “csh” within the species list. This helps collectors recognize desirable species and reinforces the importance of avoiding unnecessary treatment when those species are encountered elsewhere in the field. Similarly, regulated or priority invasive species can be identified with an “i” in the species list. Increasing the visibility of these species helps collectors recognize plants that may require special attention, particularly when working within protected areas or when the utility is implementing an invasive species management plan.

Surveys should also only request information when it is relevant. When using apps like Field Maps or Survey123, conditional visibility can be used to display questions based on previous responses. Species entry only appears when a percentage greater than zero is entered for the vegetation category (ex. compatible forbs)(see highlighted area in Figure 4 below). This prevents collectors from scrolling through unnecessary fields or accidentally entering data in the wrong spot. Different species lists can also be displayed for different vegetation categories (see highlighted area in Figure 5 below), reducing the likelihood of species being entered in the wrong category.

When collecting percent cover, an automatic calculation can also display the total percentage entered (see highlighted area in Figure 6 above). This gives collectors an opportunity to identify potential errors while they are still at the plot rather than during data review at the end of the field season.

These features do more than improve data quality. They make surveys faster and easier to use, allowing collectors to focus on observing vegetation rather than navigating unnecessary questions.

Turning Accurate Data into Improvements

The ultimate purpose of collecting monitoring data is not simply to create a dataset, it is to improve the vegetation management program. Consistent, accurate data makes it possible to identify patterns across the system and determine where management practices are working well and where additional attention may be needed.

Monitoring results can highlight areas with lots of incompatible vegetation, invasive species, or other conditions that may require changes in treatment timing or methods. At the same time, successful areas can provide valuable lessons. Comparing sites with desirable vegetation conditions to sites that are struggling can help identify management practices that could be applied elsewhere.

Accurate monitoring data can also demonstrate program success. Results showing improvements in compatible vegetation, habitat conditions, treatment effectiveness, or other program objectives provide measurable evidence of the benefits of vegetation management practices. These results can be shared with leadership, field teams, clients, regulators, and other stakeholders to communicate progress and demonstrate the value of the program.

Ultimately, better data supports better decisions. Designing field surveys with accuracy and consistency in mind ensures that the time spent collecting information in the field translates into meaningful insights and continuous improvement.

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