The use of ATLAS data to quantify surface radiative budget alteration through urbanization for San Juan, Puerto Rico

Jeffrey C. Luvall; Douglas L. Rickman; Jorge Gonzalez; Steve Schiller

doi:10.1117/12.689124

17 October 2006 The use of ATLAS data to quantify surface radiative budget alteration through urbanization for San Juan, Puerto Rico

Jeffrey C. Luvall, Douglas L. Rickman, Jorge Gonzalez, Steve Schiller

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Proceedings Volume 6359, Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII; 63590A (2006) https://doi.org/10.1117/12.689124
Event: SPIE Remote Sensing, 2006, Stockholm, Sweden

Abstract

The additional heating of the air over the city is the result of the replacement of naturally vegetated surfaces with those composed of asphalt, concrete, rooftops and other man-made materials. The temperatures of these artificial surfaces can be 20 to 40 ° C higher than vegetated surfaces. This produces a dome of elevated air temperatures 5 to 8 ° C greater over the city, compared to the air temperatures over adjacent rural areas. This effect is called the "urban heat island". Urban landscapes are a complex mixture of vegetated and non-vegetated surfaces. It is difficult to take enough temperature measurements over a large city area to. The use of remotely sensed data from airborne scanners is ideal to characterize the complexity of urban albedo and radiant surface temperatures. The National Aeronautics and Space Administration (NASA) Airborne Thermal and Land Applications Sensor (ATLAS) operates in the visual and IR bands was used in February 2004 to collect data from San Juan, Puerto Rico with the main objective of investigating the Urban Heat Island (UHI) in tropical cities. In this presentation we will examine the techniques of analyzing remotely sensed data for measuring the effect of various urban surfaces on their contribution to the urban heat island effect.

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Jeffrey C. Luvall, Douglas L. Rickman, Jorge Gonzalez, and Steve Schiller "The use of ATLAS data to quantify surface radiative budget alteration through urbanization for San Juan, Puerto Rico", Proc. SPIE 6359, Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII, 63590A (17 October 2006); https://doi.org/10.1117/12.689124

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KEYWORDS

Sensors

Calibration

Clouds

Data modeling

Temperature metrology

Atmospheric modeling

Infrared sensors

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