Targeted Model Development

Build a Model Around What Your Experts Already Know.

Your experts already know the answer. POLLi helps you build a workflow that captures it consistently, at scale, season after season.

What if your program had a library of models built from your own evidence? One for encroachment, one for invasive presence, one for beneficial establishment. Each one ready to deploy across your entire operation.

Discuss Your Monitoring Need

Does Your Program Have an Objective

Not Every Objective Needs a Model. The Right Ones Do.

Targeted model development starts with an objective. The kind that shows up in every IVM or IHM program cycle, season after season. If that objective is visible in the imagery and your team can answer it consistently, a targeted workflow can document the answer at scale, with the same expert review structure your program already relies on.

IVM and IHM program objectives that become model candidates

Confirm compatible species establishment between IVM treatment cycles Document invasive encroachment before the next IVM cycle begins Track beneficial plant coverage for IHM reporting Monitor pollinator-compatible vegetation in managed corridors Establish baseline documentation for IVM cycle planning Detect regrowth against IVM clearance standards Track habitat condition changes across IHM program areas Confirm treatment effectiveness as part of your IVM record
01

A defined, recurring program objective

02

Imagery collected to the POLLi® evidence standard

03

A subject matter expert to build and validate the reference set

If any of these are missing, an Evidence Readiness Review is the right first step.

Before You're Model-Ready

Early Documentation Builds the Foundation Your First Model Needs.

A model learns from reviewed, image-linked findings. That means the vegetation documentation your IVM or IHM program produces today is already building the foundation a targeted model will eventually require.

Programs that are not yet ready to build a model can still document vegetation conditions, produce GIS-ready outputs, and build a reviewable record while working toward the evidence standard a targeted workflow depends on.

When the objective is clear and the imagery is there, model development becomes a viable next step.

The Process

Six Stages. A Customer Decision at Each One.

Targeted model development follows a structured process with a clear decision point at the end of each stage. You can proceed, revise, or stop and keep what's been built so far.

01

Scope

Define the Objective

A Pilot Scope Review defines the objective, the sites, the success criteria, the imagery standard, the effort involved, and the risks. The result is a quote you evaluate before committing to the next stage.

02

Collect

Fly to the Standard

Imagery is collected to the POLLi® evidence standard and quality-checked on upload. This confirms that your imagery can support model development before labeling begins.

03

Label

Build the Reference Set

An expert reviews and labels examples from your imagery, building the reference set the model will learn from. The completed reference set is reviewed and signed off before development proceeds.

04

Build and Test

Test Against Reviewed Imagery

POLLi® develops the model and tests it against reviewed imagery it hasn't seen. A plain-language test report evaluates performance against the success criteria agreed to in the Scope stage.

05

Put to Work

Deploy Into Your Workflow

The model runs in your POLLi® workflow. Findings remain image-linked and open to expert review. A version record is kept from the start.

06

Keep It Current

Maintain as Your Program Evolves

Corrections and new seasons are recorded. Each new version is reviewed and approved before it replaces the previous one.

Your Model, Your People

Built From Your Experts, Not Instead of Them.

Targeted model development doesn't replace your subject matter experts. It puts their knowledge to work at scale. The reference set a model learns from is built and validated by people who know the vegetation, the site, and the conditions. That expertise stays embedded in the model, in the labeled examples it was built from, and in the review process that governs how findings are used.

When people move on, the knowledge they contributed doesn't disappear. It stays in the reference set, the version record, and the findings they reviewed. Available to the next expert who picks up the program.

And when the program grows into new geographies, new seasons, or vegetation that has changed over time, the model can grow with it. New examples, reviewed by your experts, extend what the model can reliably identify without starting over.

If Your Program Has a Vegetation Objective It Pursues Every Season, That Is Where the Conversation Starts.

Targeted model development is built for IVM and IHM programs that have established an evidence foundation. If you are not sure whether your program is ready, an Evidence Readiness Review is the right first step.