Detection of urban expansion and land surface temperature change using multi-temporal landsat images

Wang, Shenmin; Ma, Qian; Ding, Hu; Huang, Liang

doi:10.1016/j.resconrec.2016.05.011

Cited by 79 publications

(38 citation statements)

References 44 publications

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“…Instead of using both thermal bands, the study used the 10th (or T1) band rather than the 11th band. According to Qin et al [2015] used T1 band of Landsat 8 OLI-TIRS rather than T2, because T2 had large data uncertainty [Wang et al, 2016]. A 100x100 meter grid was used as a unit of analysis, which also has been utilized in a previous study [Suzuki, 2008;Oke, 2004, Qin et al, 2015.…”

Section: The Methodsmentioning

confidence: 99%

Spatial Temporal Analysis of Urban Heat Hazard on Education Area (University of Indonesia

Wibowo

Salleh

2017

IJG

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As education area, campus or university is full with various activities which have an impact on the existence of land-use or land-cover. The variation of activities dynamically change the shape of land-use or land-cover within the campus area, thus also create variations in Land Surface Temperature (LST). The LST are impacting the coziness of human activity especially when reaches more than 30 oC. This study used the term Urban Heat Signature (UHS) to explain LST in different land-use or land-cover types. The objective of this study is to examine UHS as an Urban Heat Hazard (UHH) based on Universal Temperature Climate Index (UTCI) and Effective Temperature Index (ETI) in University of Indonesia. Thermal bands of Landsat 8 images (the acquisition year 2013-2015) were used to create LST model. A ground data known as Air Surface Temperature (AST) were used to validate the model. The result showed an increased level of maximum temperature during September-October since 2013 until 2014. The maximum temperature was reduced in October 2014, however it increased again in August 2015. The UTCI showed "moderate" and "strong heat stress", while EFI showed "uncomfortable" and "very uncomfortable" categories during that period. This research concluded that build up area in UI Campus highest temperature on UI campus based on UHS. Range UHS in Campus UI on 2013 (21.8-31.1oC), 2014 (25.0-36.2oC) and 2015 (24.9-38.2oC). This maximum UHS on September (2014 and 2015) put on levelling UTCI included range temperature 32-35oC, with an explanation of sensation temperature is warm and sensation of comfort is Uncomfortable, Psychology with Increasing Stress Case by Sweating and Blood Flow and Health category is Cardiovascular Embarrassment. This UHS occurs in September will give impact on psychology and health, that's become the UHH of the living on education area. Kampus UI tahun 2013 (21.8-31.1oC), tahun 2014 (25.0-36.2oC) dan tahun 2015 Abstrak Sebagai kawasan pendidikan, kampus atau universitas memiliki berbagai jenis aktivitasi yang mungkin berdampak pada keberadaan penggunaan atau tutupan lahan. Variasi dari aktivitas tersebut secara dinamis dapat merubah bentuk dari penggunaan atau tutupan lahan di dalam kawasan kampus, yang secara langsung juga dapat berdampak pada variasi Suhu Permukaan Tanah (SPT). SPT akan berdampak pada kenyamanan aktivitas manusia terutama pada

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Section: The Methodsmentioning

confidence: 99%

Spatial Temporal Analysis of Urban Heat Hazard on Education Area (University of Indonesia

Wibowo

Salleh

2017

IJG

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“…The study uses LST from Landsat 8 TIRS (satellite image) data (Mirzaei & Haghighat, 2010;Kuşcu & Şengezer, 2011;Tursilowati et al, 2012;Senayake et al, 2013;Rozenstein et al, 2014;Roy et al, 2014). Landsat 8 had two thermal bands; this research used Band 10 to process becoming LST data, as according to Wang et al (2015), and thermal band 11 has considerable data uncertainty (Wang et al, 2016). It is the latest series of the Landsat system, carrying two sensors: an Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS).…”

Section: Methodsmentioning

confidence: 99%

Land Cover Types and Their Effect on the Urban Heat Signature of University Campuses using Remote Sensing

Wibowo¹,

Salleh²

2018

IJTech

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The campus, as an educational area, has a variety of land cover with varying surface temperatures. Knowledge of land use in a localized urban environment and its effect on the Urban Heat Signature (UHS) of a university campus is insufficient, so it is essential to assess UHS-related localized urban environments. The objective of this study is to assess land cover and its effect on the UHS of two university campuses. The research used spatial-temporal analysis employing satellite images during the period 2013-2014. The areas studied were the University Malaya (UM) and University Indonesia (UI) campuses. The results show that the land cover of both university campuses has the same localized urban environment pattern. The study concludes that the UHS behavior is an effect of its temporal relation with land cover, which is new knowledge on university campuses about localized urban environments.

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“…The classified images were assessed for accuracy based on 100 random reference points for each class over the study period. Accuracy assessment is an important parameter for urban growth and LST (Wang et al, 2018). Table 4 shows the overall accuracy and Kappa coefficient of 1989, 2004, and 2017 is above 86% and 0.83 of the classified images.…”

Section: Land Cover Classificationmentioning

confidence: 99%

Detection of Changes in Land Cover and Land Surface Temperature Using Multi Temporal Landsat Data

Myint

Min²

2020

Environ. Nat. Resour. J.

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Land cover changes and land surface temperature have rose in the tropical regions of Myanmar especially in the surrounding areas of Magway city due to the rapid growth of urban sprawl. This study investigated the patterns of land cover and the trend of land surface temperature in Magway city area between 1989 and 2017. For this purpose, Landsat 5 TM and Landsat 8 OLI were used and land surface temperatures (LST) were calculated through thermal data with Normalized Difference Vegetation Index (NDVI). After obtaining the land cover map by using maximum likelihood algorithm for each study period, the accuracy of this map was tested using 100 ground checkpoints in an error matrix. A statistical analysis of the results showed the increase of the built-up area by 11.7% and the decline of the vegetation area by 19.7% from 1989 to 2017. Moreover, land surface temperature has risen by 4 C during this 28 years period. Therefore, this study is intended to help the Magway city development council plan effective land cover management in the future.Citation: Myint AA, Min MM. Detection of changes in land cover and land surface temperature using multi temporal Landsat data. Environ. Nat.Resour.

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Detection of urban expansion and land surface temperature change using multi-temporal landsat images

Cited by 79 publications

References 44 publications

Spatial Temporal Analysis of Urban Heat Hazard on Education Area (University of Indonesia

Spatial Temporal Analysis of Urban Heat Hazard on Education Area (University of Indonesia

Land Cover Types and Their Effect on the Urban Heat Signature of University Campuses using Remote Sensing

Detection of Changes in Land Cover and Land Surface Temperature Using Multi Temporal Landsat Data

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