Remote Sensing and complex urban systems: Contributions to the state of the art on the Heat Island and the monitoring of water quality

2020 ◽  
Vol 1 ◽  
pp. 1
Author(s):  
Cristiano Capellani Quaresma ◽  
Edson Aparecida de Araujo Querido Oliveira
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Urban Studies ◽  
State Of The Art ◽  
The State ◽  
Urban Systems ◽  
Academic Environment ◽  
Heat Island ◽  
Present Material ◽  
Remote Sensing Techniques

The article starts from the premise that cities are constituted in complex systems, so that its study, through the systemic approach, encounters three difficulties. Among these, the availability of technological instrumentation applied to research and which favors the obtaining and analysis of reality data stands out. In this context, remote sensing techniques are inserted, which have been increasingly applied in urban studies. Thus, the present article aims to present the state of the art of the use of remote sensing in urban studies, having the phenomenon of the Heat Island and the monitoring of water quality as thematic focus. In methodological terms, this article is a narrative, non-systematic and qualitative review, carried out based on the analysis of the literature, from books and articles in international journals. It is expected that the present material will contribute to the updating of knowledge, as well as to highlight the importance of the topic addressed in the academic environment.

scholarly journals LOCAL CLIMATE CHANGE AND URBAN HEAT ISLAND MITIGATION TECHNIQUES – THE STATE OF THE ART

2015 ◽  
Vol 22 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Hashem Akbari ◽  
Constantinos Cartalis ◽  
Denia Kolokotsa ◽  
Alberto Muscio ◽  
Anna Laura Pisello ◽  
...  
Keyword(s):  
Climate Change ◽  
Urban Heat Island ◽  
State Of The Art ◽  
Ambient Air ◽  
The State ◽  
Heat Island ◽  
Local Climate ◽  
Local Climate Change ◽  
Urban Heat ◽  
Mitigation Techniques

Increase of the ambient air temperature in cities caused by the urban heat island phenomenon has a seri- ous impact on the economic and social system of cities. to counterbalance the consequences of the increased urban temperatures important research has been carried out resulting in the development of efficient mitigation technologies. the present paper aims to present the state of the art in terms of local climate change and urban heat island mitigation techniques. In particular, developments in the field on highly reflective materials, cool and green roofs, cool pavements, urban green and of other mitigation technologies are presented in detail, while examples of implemented projects are given.

scholarly journals Landsat-7 ETM+ Based Remote Sensing as a Tool for Assessing Lakes Water Quality Characteristics

2021 ◽  
Vol 56 (1) ◽  
Author(s):  
Diego Fernando Cabezas-Alzate ◽  
Yeison Alberto Garcés-Gomez ◽  
Vladimir Henao-Cespedes
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Mathematical Models ◽  
Near Infrared ◽  
Multispectral Images ◽  
Chl A ◽  
Landsat 7 ◽  
Remote Sensing Techniques ◽  
Valle Del Cauca ◽  
Simple Ratio

The article describes a new method using remote sensing techniques to set the mathematical models that allow the estimation of the most relevant parameters for water quality monitored in Laguna de Sonso lake, Valle del Cauca, determined using Landsat-7 ETM+ multispectral images. Chlorophyll-a (Chl-a), Turbidity, Dissolved Oxygen (DO), and Total Phosphorus (P) are the parameters chosen for this study. The annual dry and wet seasons were defined, from 2010 to 2017, with a total of 70 images. It was necessary to carry out a process of masking the water Buchón (Eichhornia crassipes) and replacing pixels using the statistical average of the two established annual seasons. For the case of Chl-a, the NDI ratio between the red and near-infrared (NIR) bands was the best correlated with an ; for turbidity, a regression with the red band, with an ; for DO, the ratio with the highest correlation was a simple ratio (SR) between the green and blue bands, with an ; and for P, a regression of the NIR band was enough, presenting an . Finally, the adjusted mathematical models were obtained for each established parameter, allowing the estimation of each parameter to monitor the lagoon water quality using images from the ETM+ sensor.

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