Planning/PLN_ClimateResilience (MapServer)

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Service Description: <DIV STYLE="text-align:Left;font-size:12pt">San Diego Urban Heat Analysis: This dataset provides a comprehensive analysis of heat vulnerability, risk, and exposure in San Diego based on research conducted under the NASA DEVELOP National Program. The dataset combines remotely sensed data, health indicators, socioeconomic data, and land surface temperatures to create a holistic understanding of heat-related challenges in the city. These findings are essential for urban planning, climate adaptation strategies, and public health initiatives in the face of increasing global temperatures.Exposure to heat exacerbated by an increase in urbanization as well as increasing global temperatures has become a growing concern for cities and their residents. Excess heat can cause increased heat-related morbidity, mortality, and energy costs. Vulnerability to heat-related illnesses is oftentimes correlated to demographics, socioeconomic status, and pre-existing health conditions. The City of San Diego, California boasts 1.4 million residents and, like many other major cities, has experienced increases in heat-related hospitalizations and mortality. The burden of urban heat is also not equal amongst communities; areas with lower income and communities of color bear a disproportionate burden. In partnership with the City of San Diego, and American Geophysical Union’s (AGU) Thriving Earth Exchange, the DEVELOP team used Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), and ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) imagery to identify areas of highest heat based on land surface temperature from 2015-2020. Our analyses showed that health demographics such as obesity and cardiovascular health were the strongest indicators for heat vulnerability. In addition, various inputs (land use/land cover, tree canopy, and building intensity derived from the City of San Diego data along with albedo from Landsat 8) were used in the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) urban cooling model to investigate changes in cooling rates in current and future scenarios for the city. The model results showed that cooling is expected to occur due to a 5% increase in tree canopy. The City of San Diego can use these results to inform the development of the Climate Resilient San Diego plan and prioritize at-risk communities for cooling interventions.</DIV>

Map Name: PLN_ClimateResilience_pub

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Layers:

Heat Layers (0)
- Heat Vulnerability (1)
- Heat Exposure (2)
- Heat Risk (3)
Flood Extent Layers (4)
- 100 Year Flood Extent (5)
- Average Condition Flood Extent (6)

Description: <DIV STYLE="text-align:Left;font-size:12pt">San Diego Urban Heat Analysis: This dataset provides a comprehensive analysis of heat vulnerability, risk, and exposure in San Diego based on research conducted under the NASA DEVELOP National Program. The dataset combines remotely sensed data, health indicators, socioeconomic data, and land surface temperatures to create a holistic understanding of heat-related challenges in the city. These findings are essential for urban planning, climate adaptation strategies, and public health initiatives in the face of increasing global temperatures.Exposure to heat exacerbated by an increase in urbanization as well as increasing global temperatures has become a growing concern for cities and their residents. Excess heat can cause increased heat-related morbidity, mortality, and energy costs. Vulnerability to heat-related illnesses is oftentimes correlated to demographics, socioeconomic status, and pre-existing health conditions. The City of San Diego, California boasts 1.4 million residents and, like many other major cities, has experienced increases in heat-related hospitalizations and mortality. The burden of urban heat is also not equal amongst communities; areas with lower income and communities of color bear a disproportionate burden. In partnership with the City of San Diego, and American Geophysical Union’s (AGU) Thriving Earth Exchange, the DEVELOP team used Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS), and ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) imagery to identify areas of highest heat based on land surface temperature from 2015-2020. Our analyses showed that health demographics such as obesity and cardiovascular health were the strongest indicators for heat vulnerability. In addition, various inputs (land use/land cover, tree canopy, and building intensity derived from the City of San Diego data along with albedo from Landsat 8) were used in the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) urban cooling model to investigate changes in cooling rates in current and future scenarios for the city. The model results showed that cooling is expected to occur due to a 5% increase in tree canopy. The City of San Diego can use these results to inform the development of the Climate Resilient San Diego plan and prioritize at-risk communities for cooling interventions.</DIV>

Service Item Id: e26ae0bf01f04ca9b6d80c5b50bd0b4d

Copyright Text: Spring 2021 San Diego Urban Development NASA DEVELOP Team

Spatial Reference: 103008 (6426) LatestVCSWkid(0)

Single Fused Map Cache: false

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Units: esriFeet

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryLegends QueryDomains Find Return Updates