Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.sensorup.com/llms.txt

Use this file to discover all available pages before exploring further.

​
Welcome!

The Emission Observation Dashboard is your command center for exploring and analyzing emission observation data. Whether you’re validating new data sources, triaging operational issues, or preparing compliance reports, this guide will get you productive in your first session.
Time Required: 10-15 minutes for completion
What You’ll Learn: How to view your data, create custom filters, and export results for further analysis
Common Pitfalls:
  • Remember that column preferences are saved per data source selection, so customize your view for each dataset you work with regularly
  • When viewing all observations, use filters to narrow down to the specific data you need before exporting

​
Your First Steps

1

Access the Dashboard

Navigate to the Observations section from the main menu, then select your data scope using the Data Source dropdown:
  • All Observations - View all your observations across every data source, then filter down using the table’s filtering capabilities
  • Observation type (FLY, SAT, etc.) - View all observations of a specific detection technology type
  • Individual data source - View observations from a single specific data source
This flexibility allows you to create a single export containing only the observations you care most about, whether that’s a comprehensive view or a focused subset.You’ll see two main areas:
  • Interactive map showing observation locations with color-coded status indicators
  • Data table with customizable columns and powerful filtering capabilities
2

Understand Your Data Layout

The dashboard loads with a default view combining observation, event, and asset data in one unified table.Default columns typically include:
  • Status (EE) - Current emission event status
  • Asset Reference (EE) - Associated facility or asset
  • Source Asset Reference (EE) - Attribution information
  • Attribution Explanation (EE) - How the observation was linked
  • Resolution Reason (EE) - Why events were resolved
  • Short ID (EO) - Unique observation identifier
  • Detected At (EO) - When the observation was recorded
  • Start Date (EO) - Estimated emission start time
  • End Date (EO) - Estimated emission end time
  • Rate (EO) - Emission rate measurement
Fields that are empty across your entire dataset won’t appear in the table or column options.
Map Visualization: Each point represents an observation location, with colors indicating the parent emission event status (red for Open, blue for Closed, etc.).
3

Create Your First Filter

Now let’s find actionable data by filtering for open emission events that need attention.
  1. Click the Filter button above the table
  2. Select ee_status from the field dropdown
  3. Choose equals and select Open
  4. Click Apply Filter
The table and map will update to show only observations associated with open emission events - these are your priority items requiring action.
4

Customize Your View

Tailor the dashboard to show exactly the information you need for your analysis.To customize columns:
  1. Click the Columns button at the top right of the table
  2. Check or uncheck fields to add or remove them from your view
  3. Your preferences will be automatically saved for this data source
Pro tip: If you work with specific emission rates, try adding rate-related columns or filtering for super-emitters by setting Rate > 100 kg/h.
Success! You’re now ready to explore your data effectively.✅ You can view observations on both map and table
✅ You’ve filtered data to find actionable items
✅ You’ve customized your view for your specific needs

​
Quick Wins to Build Your Skills

Try these additional tasks to become more proficient with the dashboard:

Export Filtered Data

Time: 2-3 minutes
Select all observations or a specific type, apply filters to narrow down to exactly what you need, then click Export to download a CSV file with your customized data for offline analysis or reporting.

Explore Super-Emitters

Time: 3-5 minutes
Set up a filter for Rate > 100 kg/h to quickly identify and analyze your highest-emission observations for compliance reporting.

Area-Specific Analysis

Time: 5-7 minutes
Filter by business_unit or operator fields to create focused reports for specific operational areas or teams.

Data Validation Workflow

Time: 3-5 minutes
Use the dashboard to validate newly ingested data sources by viewing all raw observations and confirming data completeness.

​
Common Use Cases

​
Data Validation & Onboarding

Perfect for: Data managers and new users validating data feeds
  • View newly ingested datasets to confirm successful import
  • Verify data integrity before observations enter operational workflows
  • Check for expected data fields and completeness

​
Operational Triage & Planning

Perfect for: Environmental analysts and operators prioritizing work
  • Filter for Open emission events to create daily action lists
  • Use map visualization for geographical priority assessment
  • Identify patterns in emission event status across your facilities

​
Compliance & Reporting

Perfect for: Compliance managers and reporting analysts
  • Generate super-emitter reports by filtering on emission rates
  • Create area-specific reports using asset property filters
  • Export customized datasets for regulatory submissions

​
Advanced Analysis & Research

Perfect for: Data analysts and researchers
  • Customize column views for specific data source analysis
  • Export comprehensive datasets for external business intelligence tools
  • Investigate long-term trends using historical observation data

​
If You Get Stuck

Check if fields are empty across your dataset - columns with no data won’t appear. Also verify that your current filters aren’t excluding the data you’re looking for. Try clearing all filters to see the complete dataset.
Observations without valid coordinates won’t appear on the map. Check your data for missing latitude/longitude information, or look for observations that are using asset reference locations instead of direct coordinates.
Column preferences are saved per data source automatically. If you’re switching between different datasets (e.g., different detection technologies), each will have its own saved configuration. Make sure you’re working with the correct data source.

​
What’s Next?

Now that you’re comfortable with the basics, explore these advanced capabilities:

Observation Data Model

Understand the complete data structure and available fields to maximize your analysis capabilities.

Emission Event Model

Learn about emission events and how observations flow into operational workflows.