using remotely sensed data and gis tools to characterize living … · 2009. 6. 16. · –...
TRANSCRIPT
![Page 1: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/1.jpg)
Mohammad Al-Hamdan, Maury Estes, Bill Crosson, Dale Quattrochi, Sue Estes NSSTC/MSFC/NASA
Leslie McClureUAB School of Public Health
Using Remotely Sensed Data and GIS Tools to Characterize Living Environments for Evaluation with Blood Pressure Data
![Page 2: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/2.jpg)
Objectives
Examine the relationship between living environment (urban, suburban, and rural) residents and blood pressure (measured as both Systolic (SBP) and Diastolic (DBP))
– Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments, will be associated with an increase in blood pressure.
Examine land surface temperature changes for each category of living environment to validate classification and determine if higher LST is associated with higher blood pressure
![Page 3: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/3.jpg)
Data Linkage
3Health
Data
MODIS(LST)
Landsat(LCLU)
Linkage
Individual-level
Linked Data
REGARDSBlood
PressureEnviron
Data
USGS NASA
Biostatistical
Analysis
![Page 4: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/4.jpg)
REasons for Geographic And Racial Differences in Stroke (REGARDS) Study Population
• Longitudinal population‐based cohort of over 30,000 volunteers age 45 and older
• Completed In‐Home Participants on February 1st, 2007)• Racial representation
– 50% African American– 50% white
• Sex representation– 50% male– 50% female
• Geographic representation– 20% from the buckle of the stroke belt– 30% from the stroke belt– 50% from the rest of the contiguous US
![Page 5: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/5.jpg)
Landsat-derived NLCD 2001
Study Areas and Landsat-derived NLCD
![Page 6: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/6.jpg)
NASA MODIS Land Surface Temperature (LST)
A 1-km spatial resolutionDaytime and nighttime observationsClear-sky coverage only
August 01, 2004Day (1:30 PM) Night (1:30 AM)
LST (°C)
Atlanta, GA
![Page 7: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/7.jpg)
Challenges
Development of a methodology to delineate LCLU classes into rural, suburban, and urban living environments and evaluate it
Linkage of REGARDS data with classifications
![Page 8: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/8.jpg)
People don’t live in a (30 m x 30 m) box
Resampled NLCD to 1 km and 3 km
Standard Resampling Methods
• Bilinear Interpolation (Numeric Data)
• Cubic Convolution Interpolation (Numeric Data)
• Nearest Neighbor (Nominal Data)
Spatial Resolution and Resampling Methods
![Page 9: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/9.jpg)
2001 NLCD 30 mCarrollton, GA
8 km0 km
![Page 10: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/10.jpg)
2001 NLCD Resampled 1 km (Nearest Neighbor Method)
Carrollton, GA
8 km0 km
![Page 11: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/11.jpg)
2001 NLCD Resampled 1 km (Dominant Class Method)
Carrollton, GA
8 km0 km
![Page 12: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/12.jpg)
Nearest Neighbor (1km)Raw Resolution (30m)
Most Dominant Class
(1km)
Atlanta, GA
![Page 13: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/13.jpg)
Resampling and Urban, Suburban, Rural Delineation Methodology
Urban
Suburban
Rural
100 km0 km
30‐m NLCD 1‐km resampled NLCD
Developed Low Intensity or Developed Open Space
Developed High Intensity or Developed Medium Intensity
Others
Atlanta, GA
![Page 14: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/14.jpg)
Landsat-derived Living Environment Categories at 1 km
![Page 15: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/15.jpg)
Urban
Suburban
Rural
100 km0 km
Landsat-derived Living Environment Categories at 3 km
Atlanta Chicago
![Page 16: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/16.jpg)
Living Environment Category vs. LST(At 1 km Spatial Resolution)
Living Environment Category LST (°C)
Urban
Suburban
Rural
August 01, 2004
(1:30 PM)
![Page 17: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/17.jpg)
Linkage of Environmental and Health Data
Data Linkage Outputs
*Simulated Data Set.
Date Participant _ID Living Environment Category LST (°C)
1/7/2000 1811 Suburban 35.1
5/5/2001 15299 Rural 34.6
6/5/2001 15879 Urban 36.2
![Page 18: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/18.jpg)
Percentage of Areal Coverage and Participants
By Area
ByParticipants
![Page 19: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/19.jpg)
a b c
Biostatistical AnalysesRelationship between LCLU Living Environment and SBP, DBP, and Hypertension (1 km)
a Univariate
b Adjusted for race
c Adjusted for race, sex, age, BMI, income, education, and city of residence
Abbreviations: SBP-systolic blood pressure, DBP-diastolic blood pressureHypertension: SBP > 140, DBP > 90, or Self-reported anti-hypertinsive medication
![Page 20: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/20.jpg)
Biostatistical AnalysesBP vs. Race
LCLU vs. Race
![Page 21: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/21.jpg)
Conclusions
Remotely sensed data can be used to characterize LCLU living environment for public health applicationsSuch remote sensing and GIS methods have the potential to facilitate additional research linking environmental variables to public health concernsLCLU living environment is associated with hypertension in univariate models but that relationship is no longer present after adjustment for cardiovascular risk factors Further study regarding living environment & hypertension should focus on additional environmental characteristics such as air quality
![Page 22: Using Remotely Sensed Data and GIS Tools to Characterize Living … · 2009. 6. 16. · – Hypothesis: Residents living in urban environments, as opposed to suburban or rural environments,](https://reader034.vdocument.in/reader034/viewer/2022052020/6034abec85b39577651fa228/html5/thumbnails/22.jpg)
Thanks!Presenter’s Contact Information:
Dr. Mohammad Z. Al-Hamdan, PhD