کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4459092 1621273 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Satellite air temperature estimation for monitoring the canopy layer heat island of Milan
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Satellite air temperature estimation for monitoring the canopy layer heat island of Milan
چکیده انگلیسی

In this work, satellite maps of the urban heat island of Milan are produced using satellite-based infrared sensor data. For this aim, we developed suitable algorithms employing satellite brightness temperatures for the direct air temperature estimation 2 m above the surface (canopy layer), showing accuracies below 2 K. The air temperatures measured by ground-based weather stations were properly matched with brightness temperatures observed by the Moderate-resolution Imaging Spectroradiometer (MODIS) on board of both Terra and Aqua satellites. In total, 931 daytime and nighttime scenes taken between 2007 and 2010 were processed. Analysis of the canopy layer heat island (CLHI) maps during summer months reveals an average heat island effect of 3–4 K during nighttime (with some peaks around 5 K) and a weak CLHI intensity during daytime. In addition, the satellite maps reveal a well defined island shape across the city center from June to September confirming that, in Milan, urban heating is not an occasional phenomenon. Furthermore, this study shows the utility of space missions to monitor the metropolis heat islands if they are able to provide nighttime observations when CLHI peaks are generally significant.


► Canopy Layer Heat Island (CLHI) maps of Milan are produced from satellite data
► CLHI has been monitored estimating the air temperature at 2 m above the ground
► The retrieval algorithm employs only brightness temperatures at two IR channels
► The air temperature is estimated with an error below 2 K
► CLHI exhibits an average heat island of 3–4 K during nighttime (with peaks of 5 K)

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 127, December 2012, Pages 130–138
نویسندگان
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