NDLI: Modelling the ground heat flux of an urban area using remote sensing data

Content Provider	Springer Nature Link
Author	Rigo, G. Parlow, E.
Copyright Year	2007
Abstract	During the Basel Urban Boundary Layer Experiment (BUBBLE) conducted in 2002, micrometeorological in-situ data were collected for different sites using a variety of instruments. This provides a unique data set for urban climate studies. Nevertheless, the spatial distribution of energy and heat fluxes can only be taken into account with remote sensing methods or numerical models. Therefore, multiple satellite images from different platforms (NOAA-AVHRR, MODIS and LANDSAT ETM+) were acquired, processed and analysed. In addition, a high resolution digital elevation model (DEM) and a 1 m resolution digital surface model (DSM) of a large part of the city of Basel was utilized. This paper focuses on the calculation and modelling of the ground (or storage) heat flux density using remotely sensed data combined with in-situ measurements using three different approaches. First, an empirical regression function was generated to estimate the storage heat flux from NDVI values second approach used the Objective Hysteresis Model (OHM) which is often used for in-situ measurements. The last method used information of the geometric parameters of urban street canyons, computed from the high resolution digital urban surface model.Modelled and measured data are found to be in agreement within ±30 Wm−2 and result in a coefficient of determination (R2) of 0.95.
Starting Page	185
Ending Page	199
Page Count	15
File Format	PDF
ISSN	0177798X
Journal	Theoretical and Applied Climatology
Volume Number	90
Issue Number	3-4
e-ISSN	14344483
Language	English
Publisher	Springer-Verlag
Publisher Date	2007-02-21
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Meteorology/Climatology Atmospheric Protection/Air Quality Control/Air Pollution Climate Change Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science

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