Detect vegetation stress so environmental teams know where to act.
Sentry-V is a vegetation stress observatory built to monitor ecosystem change over time. It uses remote sensing, site configuration, validation guardrails, and statistical logic to help identify unusual vegetation behavior.
The goal is simple:
Build a repeatable ecological monitoring system that helps naturalists, citizen scientists, and environmental teams notice change earlier, investigate with better context, and connect digital observation with real fieldwork.
Sentry-V is a Digital Sentry for vegetation monitoring.
It is designed to watch a site over time, summarize vegetation behavior, and flag patterns that may deserve human attention.
Sentry-V does not replace fieldwork. It supports it.
The system is meant to help answer questions like:
- Is vegetation behaving normally for this time of year?
- Is greenness or moisture lower than expected?
- Is the signal strong enough to trust?
- Should someone visit the site and investigate?
- What environmental context may explain the pattern?
Sentry-V is part of a larger vision: an ecological observatory where people can learn to monitor the natural world using open, practical, reproducible tools.
Sentry-V has three connected purposes.
Sentry-V is meant to become a fun and practical tool for naturalists, citizen scientists, students, and local environmental stewards.
The goal is to give people a copy of the system, teach best practices, and encourage them to combine digital monitoring with real-world field checks.
This means:
- observing local sites
- learning remote sensing basics
- checking unusual signals in the field
- documenting what they see
- teaming up with local conservation groups
- building a stronger culture of environmental awareness
The system helps people become more watchful stewards of the places they care about.
Sentry-V is also used as a working observatory for Viva Vivaria.
This allows ongoing public storytelling through videos such as:
“I monitored this site for vegetation stress this month.”
The system can run on my own account, monitor selected sites, and produce updates that become educational content.
This creates a public-facing digital lab where people can watch the system grow, learn from the process, and see how environmental monitoring works in real life.
If an environmental team, nonprofit, school, city, or conservation group wants the same type of system deployed for their own site, Sentry-V can become a professional service.
Possible models include:
- one-time installation and handoff
- custom setup in a client cloud account
- training for staff or volunteers
- monthly monitoring and interpretation support
- ongoing retainer for system maintenance and reporting
The free community layer builds awareness.
The professional layer supports teams that want a complete handoff, custom deployment, or continued monitoring support.
Current stage: v0.1
Sentry-V v0.1 is the Vegetation Observatory Core.
This version focuses on proving the structure of the system. It establishes the main project architecture and separates the monitoring logic into clear parts.
At this stage, Sentry-V is not trying to be a finished commercial platform. It is a working foundation.
Version 0.1 proves that the system can be organized as a repeatable monitoring pattern.
Sentry-V v0.1 demonstrates:
- a clear project structure
- separation between science logic and site configuration
- room for validation guardrails
- a repeatable execution entry point
- a place for outputs and future reports
- a blueprint space for future deployment
- a system design that can grow into client-ready observatories
This is the first heartbeat of the observatory.
Sentry-V
├── blueprint
├── config
├── engine
├── operations
├── outputs
├── validation
├── .gitignore
└── run_sentry.py
The science and processing logic.
This is where the core vegetation monitoring methods belong, including remote sensing workflows, vegetation index calculations, anomaly logic, and future statistical interpretation tools.
The target and site configuration layer.
This is where monitored sites, regions of interest, monitoring parameters, thresholds, and site-specific settings can be defined.
The goal is to make Sentry-V configurable without rewriting the core engine.
The guardrail layer.
This is where the system checks inputs before running. Validation helps prevent bad site definitions, missing fields, invalid date ranges, or unsafe configuration changes.
This matters because Sentry-V is designed to eventually be assisted by agents and reused across multiple sites.
The evidence layer.
This folder is for generated summaries, reports, exports, charts, logs, or other results produced by the system.
Outputs help turn raw monitoring into something understandable.
The runbook and operating layer.
This is where operating notes, workflow instructions, monitoring procedures, and maintenance guidance can live.
The goal is to make the system understandable not only to the builder, but also to future users, collaborators, and client teams.
The future deployment recipe.
This folder is for documenting how Sentry-V could eventually be replicated into another account or environment.
The blueprint layer supports the long-term goal of building systems that can be handed off, installed, or customized for environmental teams.
The main execution entry point.
This script is the front door for running the sentry workflow.
Sentry-V follows a simple monitoring pattern:
Site Config
↓
Validation Guardrails
↓
Sentry-V Engine
↓
Vegetation Metrics
↓
Signal Summary
↓
Human Interpretation
↓
Field Check / Conservation Action
The system does not end at the data.
The goal is to connect digital observation to real-world ecological awareness and action.
Sentry-V is built around an important principle:
Detection does not equal causation.
The system can detect unusual vegetation behavior.
It can suggest possible hypotheses.
It can provide context.
But it should not claim final cause without human investigation, field evidence, and ecological interpretation.
For example, a vegetation signal may be influenced by:
- seasonal change
- cloud contamination
- drought
- flooding
- mowing or land management
- invasive plant behavior
- canopy structure
- mixed pixels
- sensor noise
- natural phenology
- recent storms
Sentry-V is designed to help people know where to look, not to replace the work of ecological reasoning.
The current focus is vegetation stress monitoring using satellite-derived vegetation signals.
Core concepts include:
- vegetation greenness
- vegetation moisture
- seasonal behavior
- anomaly detection
- confidence checks
- field verification
- environmental context
The system is especially useful for sites like:
- riparian corridors
- urban biodiversity islands
- parks and natural areas
- restoration sites
- conservation project areas
- community-managed green spaces
Sentry-V is designed for multiple levels of users.
People who want to observe the natural world and contribute to environmental awareness.
They can use Sentry-V as a learning tool and field-checking guide.
People learning about remote sensing, GIS, ecology, environmental monitoring, and data-driven conservation.
Sentry-V can serve as a practical teaching project.
Groups that need lightweight monitoring support for specific sites.
Sentry-V can help them identify where conditions may be changing and where field attention may be needed.
Organizations that may want a customized observatory installed for their own project area.
This may include deployment, training, dashboards, reports, or ongoing monitoring support.
Sentry-V is not a replacement for scientists, conservation workers, or local knowledge.
It is also not a magic health detector.
Vegetation indices are helpful signals, but they are not the whole story.
Sentry-V should not be used to claim:
- exact plant health without field validation
- final cause of stress without investigation
- management recommendations without local expertise
- perfect accuracy in every landscape
The system is a watchful assistant.
The human remains the interpreter.
Sentry-V is meant to support a future Digital Observatory Community.
The idea is to help people build local monitoring habits:
- Choose a place they care about.
- Configure a monitoring target.
- Run or review the monthly signal.
- Look for unusual patterns.
- Visit the site when needed.
- Document what they see.
- Share findings with local conservation groups.
This turns monitoring into a practice.
Not just a dashboard.
Not just a map.
A practice of paying attention.
For teams that want a complete system, Sentry-V can become a deployable observatory.
A professional deployment may include:
- site setup
- cloud project setup
- remote sensing pipeline configuration
- output/report design
- dashboard connection
- training and documentation
- monthly monitoring support
- system maintenance
This allows environmental teams to benefit from the same monitoring pattern without having to build the entire system from scratch.
- Establish project architecture
- Separate engine, config, validation, outputs, operations, and blueprint
- Create the foundation for repeatable monitoring
- Prepare the repo for documentation and public explanation
- Add structured site configuration files
- Define monitored sites and regions
- Add required fields and configuration examples
- Improve validation logic
- Add vegetation index processing
- Support NDVI and NDMI workflows
- Generate site-level signal summaries
- Save outputs in a repeatable format
- Add seasonal baseline logic
- Add confidence gating
- Add anomaly flagging
- Separate detection from interpretation
- Generate readable monthly summaries
- Add charts or tables
- Create human-friendly interpretation templates
- Prepare outputs for videos, reports, or team updates
- Package the system for real monitoring use
- Add stronger documentation
- Support repeatable deployment
- Prepare for community copies and professional handoffs
Sentry-V is designed with foreknowledge.
It is built to be:
- configurable for different sites
- guarded against bad inputs
- organized for agent-assisted development
- understandable to naturalists
- useful for conservation teams
- ready for future deployment
- honest about scientific limits
The long-term goal is to build ecological monitoring systems that are practical, reproducible, and connected to real stewardship.
Sentry-V is currently in early development.
This repository represents the foundation of the vegetation observatory.
The project will grow step by step.
Each version should make the system more useful, more understandable, and more ready for real-world monitoring.
DeAnte Brown
Environmental Monitoring Systems Engineer
Viva Vivaria / Sentry-V
I build monitoring systems so environmental teams know where to act.