LANDSAT · THERMAL REMOTE SENSING · BREVARD COUNTY

Brevard County land-surface temperature.February 2009 · February 2025

I placed Landsat 7 and Landsat 9 temperature maps on the same Celsius scale to compare two February observations.

Landsat 7Landsat 9Thermal raster analysisTemporal comparison

01 / TEMPERATURE COMPARISON

Two February scenes on one temperature scale

The common Celsius color scale supports visual comparison of warmer and cooler surface patterns across the county.

Side-by-side maps of Brevard County land-surface temperature from Landsat 7 on February 16, 2009 and Landsat 9 on February 11, 2025, using a common blue-to-red Celsius scale.
Landsat-derived land-surface temperature comparison · Brevard County, Florida

02 / READING THE MAP

How to read the comparison

The paired scenes show spatial surface-temperature patterns, but they remain two observations rather than a long-term record.

01

Surface, not air

The thermal signal represents land-surface temperature at the satellite overpass, not the temperature reported by a weather station.

02

Seasonally aligned

Both scenes were acquired in February, reducing—but not eliminating—seasonal differences between the comparison dates.

03

Spatial context

Urban surfaces, vegetation, water, soil moisture, and coastal conditions can all influence the warm and cool patterns visible in each scene.

03 / ANALYSIS FRAMEWORK

How I prepared the comparison

I matched the seasonal timing and map extent, used a common color scale, and kept sensor and environmental differences in view while interpreting the result.

  1. 01

    Select comparable observations

    Use Landsat 7 imagery from February 16, 2009 and Landsat 9 imagery from February 11, 2025 to keep the acquisitions close in the seasonal calendar.

  2. 02

    Standardize the presentation

    Clip both temperature rasters to the same Brevard County extent and display them with a common Celsius color scale.

  3. 03

    Compare spatial patterns

    Examine the distribution of warmer and cooler surfaces in relation to development, vegetation, inland water, and coastal geography.

  4. 04

    Interpret with quality controls

    Consider clouds, cloud shadows, surface moisture, atmospheric conditions, sensor differences, emissivity, and Landsat 7 scan-line gaps before attributing differences to landscape change.

04 / TEACHING APPLICATION

A lesson in sensor comparison and analytical restraint

Students could use these scenes to discuss land-surface temperature, seasonal matching, sensor differences, cloud and scan-line masking, and why two dates do not establish a climate trend.

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