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Thermal Variations Around Different Areas of Houston, TX Using Landsat and ASTER Data

 The purpose of our research is to investigate thermal data from several locations in the Houston area over time. The intention is to identify and analyze factors that may contribute to thermal variances for different locations around the city and the Gulf Coast. We will be utilizing and analyzing data from Landsat and ASTER satellites to collect the information needed to accurately examine the thermal data for each location. Once the data is collected we will make any corrections needed to accurately compare the locations and will load the thermal images for each location and date. We will primarily focus on the differences in temperatures between different bodies of water around the city of Houston, such as ship channels and the Gulf Coast. We will then analyze the data to see if there is any evidence of the “Heat Island Effect” caused by urbanization around the downtown area.

Abstract

Conclusion

University of Houston

4800 Calhoun Rd

Houston, TX

77004

 

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Group Members:

Paige Given

Mariah Baillie

Emily Stibbe

Coralee Cox

Mark Hunter

        After carefully analyzing the results obtained from processing the satellite images, we found that our initial hypothesis was only partially correct. At the start of our research, we predicted that the location of bodies of water and their respective compositions would have an impact on the temperature levels. We also predicted that there would be evidence of the “Heat Island Effect” in the Houston, Texas area. While our research did present us with possible proof of the “Heat Island Effect,” it also showed low thermal variations in the bodies of water regardless of their location with respect to industrialization. When viewing the compiled results for both the and cooler months from the year 2000 to 2017, the bodies of water remain relatively uniform. These balanced results are likely due to the high specific heat of water. Since the size of these bodies of water is vast, it would require a great amount of energy to cause a dramatic change in temperature for these bodies of water (Perlman, 2016). 

           Our results did show evidence of the “Heat Island Effect” within the Houston, Texas area. When analyzing the bar charts associated with the results from each satellite as well as the compiled graphical results for all 17 years, there is a more noticeable jump in temperature in the city of Houston versus the other regions of interest. This gap serves as evidence that urban areas display the “Heat Island Effect” which causes their thermal data to be higher than surrounding areas (Energy, unknown). The reasons for this effect in the Houston area could be due to a greater level of industrialization which in turn decreases the vegetation in the area. This contributes to the increase in temperature compared to rural areas with more vegetation (Satellite-measured, 2003). 

         We also found that there was a dramatic dip in temperatures for the years 2014 and 2015 on the graphs. After further research we were able to deduce that this drop is likely due to the anomalously cold winter of 2014-2015 (Record, 2015). There were record cold temperatures for areas of Texas, such as Dallas and North Texas, which likely pushed a particularly cold front towards Houston (Garza, 2015; Snow, 2015). This movement of cold air to Houston could explain the dramatic dip for the cooler, and to some degree, the warmer months. Since the cooler months were characterized with abnormally cold temperatures for this area, it likely had enough energy and time to decrease the temperature of the bodies of water. These bodies of water will likely have retained their cooler temperatures for a while since the specific heat of the water keeps it from drastically transitioning back to its typical temperatures for the warmer months.

Results

Click on Images Below to View Results for Each Satellite

Figure 1: Average mean winter temperatures from selected ROIs for the years 2000-2017.

Figure 2: Average mean Summer/Fall temperature from selected ROIs for the years 2000-2017.

Methods

  • Acquisition of Data:

    • We will gather Landsat 7 & 8 as well as ASTER data for the city of Houston, Texas for the years 2000-2017.

  • Perform Data Pre-Processing:

    • Before we can properly extract the thermal data for the city of Houston, we must first perform the necessary corrections for each image.​

    • Landsat 7 & 8 - Radiometric Calibration, Thermal Atmospheric Correction and Emissivity Normalization on ENVI 5.3 64GB.

    • ASTER - Gain and Offset Tool, Thermal Atmospheric Correction and Emissivity Normalization on ENVI 5.3 64GB.

  • Extract Thermal Data Bands from Landsat and ASTER Images:

    • Once we have acquired the data necessary to proceed with our research, we will extract the thermal bands for each date’s data.

  • Create Regions of Interests (ROIs) for Areas of Comparison:

    • Once we have loaded the thermal data for each date, we will locate bodies of water around Houston, Texas and create ROIs to accurately compare each region of water to each other.

    • We will also create an ROI for Downtown Houston as well as an ROI for a more rural location to accurately analyze any evidence for the Heat Island Effect.

  • Calculate Mean Temperatures for Each ROI:

    • Using the ROIs for each location, we will take the mean temperatures to get an estimated temperature for the region as a whole. This will make comparing locations by temperature more accurate and allow for the collection of Quantitative Data.

  • Create Graphs and Models to Display Thermal Data Results:

    • Once the mean temperatures are collected for each region and ROI, we can begin to model and graph the data.

  • Analyze Results and Draw a Conclusion:

    • With the calibrated thermal images and the quantitative data, we should be able to comprise a conclusion for any variances in thermal data for different areas of Houston, Texas.

Remote Sensing

Course
Project Location

Houston,TX

2017

Year
Researched
Satellites Used

Landsat & ASTER 

SERVICES
ABOUT
PROJECTS
CLIENTS
CONTACT

Region of Interest (ROI) Locations:

  1. Lake Livingston

  2. Sam Houston National Park 

  3. Trinity Bay

  4. Galveston Bay

  5. City of Houston

  6. Buffalo Bayou

  7. Lake Houston

Figure 1: Landsat 8 aerial view of Houston area in 2000, RGB true color image.

Thermal Remote Sensing Group Fall 2017. Proudly created with Wix.com

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