INTERVIEW RESEARCH BRIEF
Original proposed teaching episode. No guest booked, local temperature measured or film produced. Scientific background comes from the linked primary sources.

What the red patch on a heat map actually tells you
Audience: Curious city residents who have encountered a dramatic temperature map.
Question: What does a land-surface temperature map measure, and what else would we need to understand a particular street?

SOURCES
S1 NASA: Land Surface Temperature
https://science.nasa.gov/earth/earth-observatory/global-maps/land-surface-temperature/
Supports: Land-surface temperature measures the surface visible to the sensor; it differs from the air temperature in a weather report.
Does not support: A numerical temperature difference on a particular street or a direct measure of pedestrian experience.

S2 US EPA: Benefits of Trees and Vegetation
https://www.epa.gov/heatislands/benefits-trees-and-vegetation
Supports: Shade and evapotranspiration are mechanisms through which vegetation can cool surface and air temperatures.
Does not support: A guaranteed cooling amount for every tree, street, climate or time of day.

QUESTION ARC
1. When someone points to the reddest patch and says this is the air temperature, what would you check first?
Job: Establish the misconception without pretending the guest already said it.
Evidence: S1
Follow-up: Can you point to the variable and unit in one cleared example?

2. What surface is the sensor actually seeing here?
Job: Make the measurement concrete.
Evidence: S1
Follow-up: Would the interpretation change if it sees a roof or a canopy?

3. How would you investigate the difference between two nearby streets?
Job: Expose the missing measurement design.
Evidence: Open research question
Follow-up: What would you hold comparable, and what would still vary?

4. How do shade and water movement change the explanation?
Job: Introduce mechanisms without assigning a universal effect size.
Evidence: S2
Follow-up: Which claim would this evidence still not let us make?

5. What is the strongest reason this attractive map could mislead us?
Job: Invite a substantive limitation.
Evidence: S1 plus guest expertise
Follow-up: What qualification must survive the trailer and thumbnail?

6. What should a viewer check before sharing the next map?
Job: Resolve the opening question with a usable action.
Evidence: Synthesis to verify
Follow-up: Give us the shortest accurate version, then tell us its limit.

OPEN GAPS
Which specific dataset, sensor, acquisition time, unit and spatial resolution will appear?
Does the selected guest directly work with these methods? Verify from primary work and a pre-interview.
What local evidence, access and permission would support a street-level demonstration?
Which assets can be reproduced and under what credit/usage terms?

BLANK BRIEF
Audience and their starting belief:
Episode question and promise:
Verified guest identity and relevant work:
What this guest knows firsthand:
What requires another source:
Source ID / URL / checked date / exact supported claim / limit:
Question / why it matters / follow-up / evidence:
Strongest counterargument:
Unresolved facts and owner:
Sensitive topics and agreed recording boundaries:
Cleared visual/audio assets:
Host card:
Approval owner and version: