A high resolution InSAR topographic reconstruction research in urban area based on TerraSAR-X data

2011 ◽  
Author(s):  
Feifei Qu ◽  
Zhang Qin ◽  
Chaoying Zhao ◽  
Wu Zhu
Keyword(s):  
High Resolution ◽  
Urban Area ◽  
Topographic Reconstruction

scholarly journals Accelerated Time and High-Resolution 3D Modeling of the Flow and Dispersion of Noxious Substances over a Gigantic Urban Area—The EMERGENCIES Project

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 640
Author(s):  
Olivier Oldrini ◽  
Patrick Armand ◽  
Christophe Duchenne ◽  
Sylvie Perdriel ◽  
Maxime Nibart
Keyword(s):  
High Resolution ◽  
Urban Area ◽  
3D Modeling ◽  
Three Dimensional ◽  
Hazardous Materials ◽  
Support Tool ◽  
On Demand ◽  
Simulation Domain ◽  
Dimensional Simulation ◽  
Atmospheric Release

Accidental or malicious releases in the atmosphere are more likely to occur in built-up areas, where flow and dispersion are complex. The EMERGENCIES project aims to demonstrate the operational feasibility of three-dimensional simulation as a support tool for emergency teams and first responders. The simulation domain covers a gigantic urban area around Paris, France, and uses high-resolution metric grids. It relies on the PMSS modeling system to model the flow and dispersion over this gigantic domain and on the Code_Saturne model to simulate both the close vicinity and the inside of several buildings of interest. The accelerated time is achieved through the parallel algorithms of the models. Calculations rely on a two-step approach: the flow is computed in advance using meteorological forecasts, and then on-demand release scenarios are performed. Results obtained with actual meteorological mesoscale data and realistic releases occurring both inside and outside of buildings are presented and discussed. They prove the feasibility of operational use by emergency teams in cases of atmospheric release of hazardous materials.

Smart Air Quality Network for spatial high-resolution monitoring in urban area

2018 ◽  
Author(s):  
Klaus Schäfer ◽  
Matthias Budde ◽  
Josef Cyrys ◽  
Stefan Emeis ◽  
Thomas Gratza ◽  
...  
Keyword(s):  
Air Quality ◽  
High Resolution ◽  
Urban Area

High resolution LST climatology in an urban area using Landsat 8 thermal data

2020 ◽  
Author(s):  
Sorin Cheval ◽  
Alexandru Dumitrescu ◽  
Vlad Amihăesei
Keyword(s):  
Missing Data ◽  
High Resolution ◽  
Urban Area ◽  
Land Surface ◽  
Missing Values ◽  
Urban Climate ◽  
Landsat 8 ◽  
Data Set ◽  
Area Of Interest ◽  
Spatial Coverage

<p>The Landsat 8 satellites retrieve land surface temperature (LST) values at 30-m spatial resolution since 2013, but the urban climate studies frequently use a limited number of images due to the problems related to missing data over the area of interest. This paper proposes a procedure for building a long-term LST data set in an urban area using the high-resolution Landsat 8 imagery. The methodology is demonstrated on 94 images available through 2013-2018 over Bucharest (Romania). The raw images contain between 1.1% and 58.4% missing data. Based on an Empirical Orthogonal Filling (EOF) procedure, the LST missing values were reconstructed by means of the function dineof implemented in sinkr R packages. The output was used for exploring the LST climatology in the area of interest. The gap filling procedure was validated by comparing artificial gaps created in the real data sets. At the best of our knowledge, this is the first study using full spatial coverage high resolution remote sensing data for investigating the urban climate. The validation pursued the comparison between LST and Ta at 3 WMO stations monitoring the climate of Bucharest, and returned strong correlation coefficients (R2 > 0.9). Further research may be envisaged aiming to update the data set with more recent LST information and to combine data from various sources in order to build a more robust urban LST climatology.</p><p>This work was supported by a grant of the Romanian National Authority for Scientific Research and Innovation, CCCDI -<br>UEFISCDI, project number COFUND-SUSCROP-SUSCAP-2, within PNCDI III.</p>

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