Assessment of urban heat island using satellite remotely sensed imagery: a review

Ngie, Adeline; Abutaleb, Khaled; Ahmed, Fethi; Darwish, Ahmed; Ahmed, Mohammed

doi:10.1080/03736245.2014.924864

Cited by 52 publications

(47 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…UHIs have been regarded as the most well-documented example of anthropogenic climate modification within the field of urban climate [2,3].…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Spatial Variation of Surface Urban Heat Island Intensity in a Small Urban Agglomerate in Brazil

Alves¹

2016

Climate

View full text Add to dashboard Cite

Abstract:In recent years, SUHIs (surface urban heat islands) have been greatly emphasized in urban climate studies, since it is one of the climate phenomena most influenced by human action. In this study, temporal and spatial variations of SUHIs in the cities of Ceres and Rialma (Brazil) were investigated; satellite Landsat 8 TIRS/OLI images from 2013 to 2016 were used for this purpose. The results showed that in all seasons, two relationships were observed, one positive and one negative. An NDV I (Normalized Difference Vegetation Index) of 0.2 is the divider of this relationship: up to this value, the relationship is positive, that is, the higher the NDV I value, the higher the surface temperature, while the relationship is negative at an NDV I greater than 0.2. There was high seasonal variation in the SUHIs, with the highest intensities recorded in the spring and summer (±12 • C), and the lowest in the winter. These temporal variations were attributed to the annual cycle of precipitation, which directly involves the robustness of the Cerrado vegetation. SUHIs occupied, on average, an area three times larger than the area of SUCIs (surface urban cool islands). The highest values of SUCIs were observed in water bodies and in valley bottoms. Overall, SUHIs showed high intensities; however, a more intense core area, such as in large cities, was not observed.

show abstract

“…UHIs have been regarded as the most well-documented example of anthropogenic climate modification within the field of urban climate [2,3].…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Spatial Variation of Surface Urban Heat Island Intensity in a Small Urban Agglomerate in Brazil

Alves¹

2016

Climate

View full text Add to dashboard Cite

show abstract

“…Satellite-derived thermal data have been used to study UHI parameters and the relationship between UHI and urban physical components (Voogt and Oke, 2003;Weng, 2009;Ngie et al, 2014). Yue et al (2007) and Zhang et al (2009) examined the relationship between satellite-derived land surface temperature (LST) and normalized difference vegetation index (NDVI), a measure of vegetation abundance.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations in the Impacts of Urban Land Use Types on Urban Heat Island Effects: The Case of Riyadh, Saudi Arabia

Aina

Adam

Ahmed

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:Urban heat island (UHI) effect is considered to be one of the key indicators of the impacts of urbanization and the climate changes on the environment. Thus, the growing interest in studying the impacts of urbanization on changes in land surface temperature (LST). The literature on LST indicates the need for more studies on the relationship between changes in LST and land use types, especially in the arid environment. This paper examines the spatial and temporal changes in land surface temperature influenced by land use/land cover types in Riyadh, Saudi Arabia. Multi-temporal Landsat images of the study area, 1985, 1995, 2002 and 2015, were processed to derive land surface temperatures. UHI index was computed for the different land use/land cover types (highdensity residential, medium-density residential, low-density residential, industrial, vegetation, and desert) in the study area. The results indicate a trend of rising temperatures in all the land use types in the study area. This is probably due to climate change. The industrial area has the highest temperatures among the land use types. The lowest temperatures are found in the vegetation area as expected. There is a need to implement mitigating measures to reduce the effects of rising temperatures in the study area.

show abstract

“…Butuh mengetahui hubungan antara nilai suhu permukaan pada citra yang dihubungkan dengan suhu udara pada waktu yang sama untuk mendapatkan UHI atmosfer. Hal ini dikarenakan suhu permukaan berhubungan dengan suhu udara sesuai ketinggiannya dari permukaan tanah, walaupun suhu permukaan lebih tinggi daripada suhu udara (Ngie et al, 2014;Takebayashi, 2015).…”

Section: Perhitungan Urban Heat Islandunclassified

“…Sedangkan untuk area yang tidak terjadi UHI didapatkan melalui persamaan: 0 < T ≤ µ 0,5 α ….……………………… (7) Dimana µ dan α merupakan nilai rerata dan standar deviasi dari suhu permukaan yang diperoleh. Jika pada perhitungan persamaan (6) dan (7), ambang batas suhu untuk UHI adalah 32 o C, maka kawasan dengan suhu lebih dari 32 o C merupakan lokasi terjadinya UHI. Pada persamaan ini, menjadi garis bawah dipengaruhi oleh nilai µ dan α. Nilai µ dan α tentu berhubungan dengan statistik citra yang dipengaruhi oleh luas wilayah pengamatan atau jenis penggunaan lahannya.…”

Section: Perhitungan Urban Heat Islandunclassified

Mengukur Urban Heat Island Menggunakan Penginderaan Jauh, Kasus Di Kota Yogyakarta

Fawzi¹

2017

MIG

View full text Add to dashboard Cite

Peningkatan suhu di kawasan perkotaan adalah salah satu dampak dari urbanisasi. Fenomena Urban Heat Island (UHI) merupakan salah satu akibat yang dihasilkan akibat peningkatan suhu tersebut. Diperlukan upaya untuk menilai perubahan suhu apakah dapat berbahaya bagi manusia atau tidak. Melalui pengukuran UHI, pengaruh pembangunan kota terhadap peningkatan suhu dapat diukur. Tujuan penelitian ini adalah untuk memberikan panduan ilmiah tentang perolehan intensitas dan distribusi UHI menggunakan teknik penginderaan jauh. Studi kasus yang dilakukan berada di Kota Yogyakarta, Daerah Istimewa Yogyakarta. Citra penginderaan jauh yang digunakan adalah citra Landsat 8 perekaman tanggal 24 Juni 2013, path/row 120/65. Metode ekstraksi suhu permukaan menggunakan inversi persamaan Planck dengan koreksi emisivitas dan atmosfer menggunakan radiative transfer equation. Hasil pengolahan didapatkan intensitas UHI sebesar ±2,5oC pada Kota Yogyakarta dan intensitas UHI sebesar ±3,23oC pada area yang diperluas dengan buffer 1 km dari batas Kota Yogyakarta. Hal ini menunjukkan bahwa pemilihan area penelitian untuk analisis UHI menjadi penting karena mempengaruhi nilai intensitas UHI dan distribusi UHI. Ditemukan kawasan Malioboro dan sekitarnya berpotensi kuat terjadi UHI, sehingga perlu upaya mitigasi UHI pada kawasan tersebut. Pengukuran UHI menggunakan penginderaan jauh dipengaruhi oleh hal-hal yang berkaitan dengan sistem penginderaan jauh, seperti validasi dan akurasi hasil estimasi, pengaruh atmosfer, dan perbedaan waktu intensitas puncak UHI. Metode perolehan UHI dalam penelitian ini dapat menjadi panduan ilmiah yang digunakan untuk dasar evaluasi pembangunan perkotaan untuk lebih baik.

show abstract

Assessment of urban heat island using satellite remotely sensed imagery: a review

Cited by 52 publications

References 70 publications

Seasonal and Spatial Variation of Surface Urban Heat Island Intensity in a Small Urban Agglomerate in Brazil

Seasonal and Spatial Variation of Surface Urban Heat Island Intensity in a Small Urban Agglomerate in Brazil

Spatiotemporal Variations in the Impacts of Urban Land Use Types on Urban Heat Island Effects: The Case of Riyadh, Saudi Arabia

Mengukur Urban Heat Island Menggunakan Penginderaan Jauh, Kasus Di Kota Yogyakarta

Contact Info

Product

Resources

About