The temporal dynamics of urban heat islands derived from thermal remote sensing data by local indicator of spatial association in Shenzhen, China

2011 ◽  
Author(s):  
Miaomiao Xie ◽  
Meichen Fu
Keyword(s):  
Remote Sensing ◽  
Temporal Dynamics ◽  
Spatial Association ◽  
Remote Sensing Data ◽  
Urban Heat Islands ◽  
Thermal Remote Sensing ◽  
Heat Islands ◽  
Sensing Data ◽  
Urban Heat

Assessment of Urban Heat Islands in Brazil based on MODIS remote sensing data

Urban Climate ◽  
2021 ◽  
Vol 35 ◽  
pp. 100726
Author(s):  
Felipe Ferreira Monteiro ◽  
Weber Andrade Gonçalves ◽  
Lara de Melo Barbosa Andrade ◽  
Lourdes Milagros Mendoza Villavicencio ◽  
Cássia Monalisa dos Santos Silva
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Urban Heat Islands ◽  
Heat Islands ◽  
Sensing Data ◽  
Urban Heat

MONITORING THERMAL POLLUTION SOURCES IN VORONEZH (RUSSIA) USING REMOTE SENSING DATA

2021 ◽  
pp. 54-65
Author(s):  
Дмитрий Владимирович Сарычев ◽  
Ирина Владимировна Попова ◽  
Семен Александрович Куролап
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Urban Heat Islands ◽  
Landsat 8 ◽  
Heat Islands ◽  
Land Surface Temperatures ◽  
Treatment Facilities ◽  
Urban Heat ◽  
Industrial Zones

Рассмотрены вопросы мониторинга теплового загрязнения окружающей среды в городах. Представлена методика отбора спектрозональных спутниковых снимков, их обработки и интерпретации полученных результатов. Для оценки городского острова тепла были использованы снимки с космического аппарата Landsat 8 TIRS. На их основе построены карты пространственной структуры острова тепла города Воронежа за летний и зимний периоды. Определены тепловые аномалии и выявлено 11 основных техногенных источников теплового загрязнения в г. Воронеже, установлена их принадлежность к промышленным зонам предприятий, а также к очистным гидротехническим сооружениям. Поверхностные температуры данных источников в среднем были выше фоновых температур приблизительно на 6° зимой и на 15,5° С летом. Синхронно со спутниковой съемкой были проведены наземные контрольные тепловизионные измерения температур основных подстилающих поверхностей в г. Воронеже. Полученные данные показали высокую сходимость космических и наземных измерений, на основании чего сделан вывод о надежности используемых данных дистанционного зондирования Земли в мониторинговых наблюдениях теплового загрязнения городской среды. Результаты работ могут найти применение в городском планировании и медицинской экологии. The study deals with the remote sensing and monitoring of urban heat islands. We present a methodology of multispectral satellite imagery selection and processing. The study bases on the freely available Landsat 8 TIRS data. We used multitemporal thermal band combinations to make maps of the urban heat island of Voronezh (Russia) during summer and winter periods. That let us identify 11 artificial sources of heat in Voronezh. All of them turned out to be allocated within industrial zones of plants and water treatment facilities. Land surface temperatures (LST) of these sources were approximately 6° and 15.5° C above the background temperatures in winter and summer, respectively. To prove the remotely sensed temperatures we conducted ground control measurements of LST of different surface types at the satellite revisit moments. Our results showed a significant correlation between the satellite and ground-based measurements, so the maps we produced in this study should be robust. They are of use in urban planning and medical ecology studies.

scholarly journals Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review

Environments ◽  
2021 ◽  
Vol 8 (10) ◽  
pp. 105
Author(s):  
Cátia Rodrigues de Almeida ◽  
Ana Cláudia Teodoro ◽  
Artur Gonçalves
Keyword(s):  
Remote Sensing ◽  
Systematic Review ◽  
Rural Areas ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Urban Heat Islands ◽  
Pollution Effects ◽  
Heat Islands ◽  
Urban Heat ◽  
Number Of Publications

Urban Heat Islands (UHI) consist of the occurrence of higher temperatures in urbanized areas when compared to rural areas. During the warmer seasons, this effect can lead to thermal discomfort, higher energy consumption, and aggravated pollution effects. The application of Remote Sensing (RS) data/techniques using thermal sensors onboard satellites, drones, or aircraft, allow for the estimation of Land Surface Temperature (LST). This article presents a systematic review of publications in Scopus and Web of Science (WOS) on UHI analysis using RS data/techniques and LST, from 2000 to 2020. The selection of articles considered keywords, title, abstract, and when deemed necessary, the full text. The process was conducted by two independent researchers and 579 articles, published in English, were selected. Qualitative and quantitative analyses were performed. Cfa climate areas are the most represented, as the Northern Hemisphere concentrates the most studied areas, especially in Asia (69.94%); Landsat products were the most applied to estimates LST (68.39%) and LULC (55.96%); ArcGIS (30.74%) was most used software for data treatment, and correlation (38.69%) was the most applied statistic technique. There is an increasing number of publications, especially from 2016, and the transversality of UHI studies corroborates the relevance of this topic.

scholarly journals Assessment of temporal dynamics of evaporation in the Itumbiara reservoir, GO, using remote sensing data

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Marcelo Pedroso Curtarelli ◽  
Enner Herenio Alcântara ◽  
Carlos Alberto Sampaio De Araújo ◽  
José Luiz Stech ◽  
João Antônio Lorenzzetti
Keyword(s):  
Remote Sensing ◽  
Temporal Dynamics ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals ANALYSIS OF COMBINED UAV-BASED RGB AND THERMAL REMOTE SENSING DATA: A NEW APPROACH TO CROWD MONITORING

2017 ◽  
Vol XLII-2/W6 ◽  
pp. 347-354
Author(s):  
S. Schulte ◽  
F. Hillen ◽  
T. Prinz
Keyword(s):  
Remote Sensing ◽  
Information Needs ◽  
Remote Sensing Data ◽  
Specific Information ◽  
Thermal Remote Sensing ◽  
Sensing Data ◽  
Detection Approach ◽  
Remotely Piloted Aircraft ◽  
Crowd Monitoring ◽  
Single Data

Collecting vast amount of data does not solely help to fulfil information needs related to crowd monitoring, it is rather important to collect data that is suitable to meet specific information requirements. In order to address this issue, a prototype is developed to facilitate the combination of UAV-based RGB and thermal remote sensing datasets. In an experimental approach, image sensors were mounted on a remotely piloted aircraft and captured two video datasets over a crowd. A group of volunteers performed diverse movements that depict real world scenarios. The prototype is deriving the movement on the ground and is programmed in MATLAB. This novel detection approach using combined data is afterwards evaluated against detection algorithms that only use a single data source. Our tests show that the combination of RGB and thermal remote sensing data is beneficial for the field of crowd monitoring regarding the detection of crowd movement.

Study on the Application and Comparative Analysis of Land Surface Temperature Retrieval Method Based on Multi-Sensor Remote Sensing Data

2014 ◽  
Vol 1010-1012 ◽  
pp. 1276-1279 ◽  
Author(s):  
Yin Tai Na
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Advantages And Disadvantages ◽  
Urban Heat ◽  
Split Window Algorithm ◽  
Temperature Retrieval

The three commonly used remote sensing land surface temperature retrieval methods are described, namely single-window algorithm, split window algorithm and multi-channel algorithm, which have their advantages and disadvantages. The land surface temperature (LST) of study area was retrieved with multi-source remote sensing data. LST of study area was retrieved with the split window algorithm on January 10, 2003 and November 19, 2003 which is comparatively analyzed with the LST result of ETM+data with the single-window algorithm and the LST result of ASTER data with multi channel algorithm in the same period. The results show that land surface temperature of different land features are significantly different, where the surface temperature of urban land is the highest, and that of rivers and lakes is the lowest, followed by woodland. It is concluded that the expansion of urban green space and protection of urban water can prevent or diminish the urban heat island.

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