Using Landsat 8 data to compare percent impervious surface area and normalized difference vegetation index as indicators of urban heat island effects in Connecticut, USA

2020 ◽  
Vol 79 (18) ◽  
Author(s):  
Zhiyuan Yang ◽  
Chandi Witharana ◽  
James Hurd ◽  
Kao Wang ◽  
Runmei Hao ◽  
...  
Keyword(s):  
Urban Heat Island ◽  
Surface Area ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Impervious Surface ◽  
Landsat 8 ◽  
Heat Island ◽  
Impervious Surface Area ◽  
Urban Heat

scholarly journals Comparasion of NDBI and NDVI as Indicators of Surface Urban Heat Island Effect in Landsat 8 Imagery: A Case Study of Iasi

2017 ◽  
Vol 11 (2) ◽  
pp. 141-150 ◽  
Author(s):  
Paul Macarof ◽  
Florian Statescu
Keyword(s):  
Urban Heat Island ◽  
Rural Areas ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Heat Island ◽  
Sensing Technology ◽  
Urban Heat ◽  
Surface Urban Heat Island

Abstract This study compares the normalized difference built-up index (NDBI) and normalized difference vegetation index (NDVI) as indicators of surface urban heat island effects in Landsat-8 OLI imagery by investigating the relationships between the land surface temperature (LST), NDBI and NDVI. The urban heat island (UHI) represents the phenomenon of higher atmospheric and surface temperatures occurring in urban area or metropolitan area than in the surrounding rural areas due to urbanization. With the development of remote sensing technology, it has become an important approach to urban heat island research. Landsat data were used to estimate the LST, NDBI and NDVI from four seasons for Iasi municipality area. This paper indicates than there is a strong linear relationship between LST and NDBI, whereas the relationship between LST and NDVI varies by season. This paper suggests, NDBI is an accurate indicator of surface UHI effects and can be used as a complementary metric to the traditionally applied NDVI.

scholarly journals Phân tích hiện tượng đảo nhiệt đô thị: mối liên hệ giữa nhiệt độ bề mặt đất và bề mặt không thấm nước

2017 ◽  
pp. 17-22
Author(s):  
Minh Hải Phạm ◽  
Vĩnh Khang Nguyễn
Keyword(s):  
Urban Heat Island ◽  
Surface Area ◽  
Impervious Surface ◽  
Landsat Tm ◽  
Viet Nam ◽  
Heat Island ◽  
Impervious Surface Area ◽  
Urban Heat

Sự gia tăng về phần trăm diện tích của các khu vực không thấm nước là kết quả của quá trình đô thị hóa nhanh chóng ở các thành phố lớn. Đã có một số nghiên cứu về tác động của quá trình đô thị hóa tới hệ sinh thái, đặc biệt khi chỉ số không thấm nước vượt quá ngưỡng để duy trì hệ sinh thái bền vững. Bài viết này nghiên cứu mối quan hệ giữa đảo nhiệt đô thị (Urban heat island-UHI) và phần trăm diện tích bề mặt không thấm nước (% ISA – Impervious surface area) với khu vực thử nghiệm ở Thành phố Hà Nội, Việt Nam. Nhiệt độ bề mặt đất được tính toán từ băng nhiệt Landsat TM. Nghiên cứu đã đưa ra sơ đồ gồm các bước từ tiền xử lý, chuyển đổi bức xạ và tính nhiệt độ. Kết quả %ISA được đánh giá định tính bằng các so sánh trực quan cấu trúc/mẫu không gian với cấu trúc/ mẫu sử dụng đất của khu vực thử nghiệm. Nhiệt độ bề mặt đất và bề mặt không thấm nước được lựa chọn để kiểm tra sự tương quan với dự đoán đảo nhiệt đô thị. Kết quả đã chỉ ra mối tương quan đáng kể giữa LST và %ISA, trong đó, sự thay đổi LST đã được giải thích dựa trên ISA, đặc biệt đối với khu vực có mật độ cao của Hà Nội.

scholarly journals MODEL KEKRITISAN INDEKS LINGKUNGAN DENGAN ALGORITMA URBAN HEAT ISLAND DI KOTA SEMARANG

2017 ◽  
Vol 19 (1) ◽  
pp. 45 ◽  
Author(s):  
Bandi Sasmito ◽  
Andri Suprayogi
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Heat Island ◽  
Urban Heat ◽  
Criticality Index

<p align="center"> <strong>ABSTRAK</strong></p><p class="JudulABSInd"><span lang="IN"> </span></p><p class="abstrak"><span lang="IN">Pembangunan infrastruktur di Kota Semarang berkembang sangat pesat sebagai pusat bisnis, ekonomi, industri, hiburan, dan pendidikan. Pembangunan memberikan dampak positif bagi masyarakat kota, namun terdapat juga dampak negatif yang terjadi yaitu penurunan kualitas lingkungan. Meningkatnya suhu udara adalah salah satu dampak dari penurunan kualitas lingkungan. Puncak atap dan dinding dari gedung bertingkat, tempat parkir, jalan, dan trotoar cenderung memiliki albedo yang rendah. Permukaan rendah albedo menyerap energi panas radiasi matahari lebih tinggi dari objek sekitarnya. Akibatnya, jumlah kelebihan energi panas menumpuk di sekitarnya menjadi pulau-pulau panas atau <em>Urban Heat Island</em> (UHI). Penelitian ini bertujuan untuk mendeteksi terjadinya fenomena kekritisan lingkungan akibat UHI dengan menganalisis suhu permukaan dan sebaran vegetasi di wilayah studi. Ada dua langkah metode dalam penelitian ini, pertama adalah membuat peta sebaran suhu permukaan tanah dan peta sebaran kerapatan vegetasi di tahun 2013 sampai 2016. Peta suhu permukaan dibuat dengan model algoritma <em>Land Surface Temperature</em> (LST) dan sebaran vegetasi adalah dengan algoritma <em>Normalized Difference Vegetation Index</em> (NDVI). LST didapatkan dengan mengolah Citra Landsat-8 band TIRS (<em>Thermal Infrared Red Sensor</em>), sedangkan NDVI  didapatkan dengan mengolah Citra Landsat-8 band OLI (<em>Operation Land Imager</em>). Langkah kedua adalah membuat peta kekritisan lingkungan dengan algoritma ECI (<em>Environmental Criticality Index</em>). ECI didapatkan dari nilai LST dibagi NDVI yang direntangkan histogram spektralnya menjadi 8 bit. </span>Melalui<span lang="IN"> hasil penelitian ini dapat disimpulkan bahwa suhu permukaan di Kota Semarang meningkat dan sebaran kelas suhu tinggi meluas setiap tahun. Kekritisan lingkungan akibat UHI terdeteksi di pusat kota, yaitu wilayah Utara Kota Semarang.</span></p><p class="abstrak"><strong><span lang="IN">Kata kunci</span></strong><span lang="IN">: </span><em><span lang="IN">Urban Heat Island</span></em><span lang="IN"> (UHI), </span><em><span lang="IN">Land Surface Temperature</span></em><span lang="IN"> (LST), <em>Normalized Difference Vegetation Index</em> (NDVI)</span><span lang="IN">, </span><em><span lang="IN">Environmental Criticality Index</span></em><span lang="IN"> (ECI)</span></p><p align="center"><strong><br /></strong></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p class="Abstrakeng">Infrastructure in Semarang City developes rapidly as a center of business, economics, industry, entertainment, and education. Development gives positive impact to citizen, however environmental degradation as the negative impact also occured. Temperatures rising is one of environmental degradation impact. Roof top and wall of a building, parking lot, road, and sidewalk tend to have a low albedo. The low surface albedo absorbs thermal energy from solar radiation higher than the surrounding objects. As a result, the amount of excess heat accumulate in the vicinity into heat islands or Urban Heat Island (UHI). This study aims to detect the occurrence of environmental criticality due to UHI phenomenon by analyzing the surface temperature and the distribution of vegetation in the study area. There are two steps in this research, first step is to create land surface temperature distribution map and vegetation density distribution map in the year of 2013 to 2016. The surface temperature map created by Land Surface Temperature (LST) algorithm model and vegetation distribution created by Normalized Difference Vegetation Index (NDVI) algorithm. LST is obtained by processing Landsat-8 band TIRS (Thermal Infrared Sensor Red), while the NDVI obtained by processing Landsat-8 band OLI (Operation Land Imager). The second step is to create environmental criticality map with  ECI (Environmental Criticality Index) algorithm. ECI is obtained from LST value divided by NDVI spectral histogram stretched to 8 bits. From this research, can be concluded that the heat coverage in Semarang City increase and distribution of vegetation density index spread every year. Environmental criticality due to UHI occurred in downtown area, specifically in the northern side of Semarang City.</p><p><strong><em>Keywords</em></strong><em>:</em><em>   </em><em>Urban Heat Island</em> (UHI), <em>Land Surface Temperature</em> (LST), <em>Normalized Difference Vegetation Index</em> (NDVI), <em>Environmental Criticality Index</em> (ECI)</p><p align="center"><strong><em><br /></em></strong></p><p> </p>

scholarly journals Mapping and Analyzing the Park Cooling Effect on Urban Heat Island in an Expanding City: A Case Study in Zhengzhou City, China

Land ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 57 ◽  
Author(s):  
Huawei Li ◽  
Guifang Wang ◽  
Guohang Tian ◽  
Sándor Jombach
Keyword(s):  
Urban Heat Island ◽  
Vegetation Cover ◽  
Landscape Planning ◽  
Impervious Surface ◽  
Google Earth ◽  
Cooling Effect ◽  
Landsat 8 ◽  
Heat Island ◽  
Urban Heat ◽  
The Impact

The Urban Heat Island (UHI) effect has been extensively studied as a global issue. The urbanization process has been proved to be the main reason for this phenomenon. Over the past 20 years, the built-up area of Zhengzhou city has grown five times larger, and the UHI effect has become increasingly pressing for the city’s inhabitants. Therefore, mitigating the UHI effect is an important research focus of the expanding capital city of the Henan province. In this study, the Landsat 8 image of July 2019 was selected from Landsat collection to obtain Land Surface Temperature (LST) by using Radiative Transfer Equation (RTE) method, and present land cover information by using spectral indices. Additionally, high-resolution Google Earth images were used to select 123 parks, grouped in five categories, to explore the impact factors on park cooling effect. Park Cooling Intensity (PCI) has been chosen as an indicator of the park cooling effect which will quantify its relation to park patch metrics. The results show that: (1) Among the five studied park types, the theme park category has the largest cooling effect while the linear park category has the lowest cooling effect; (2) The mean park LST and PCI of the samples are positively correlated with the Fractional Vegetation Cover (FVC) and with Normalized Difference Water Index (NDWI), but these are negatively correlated with the Normalized Difference Impervious Surface Index (NDISI). We can suppose that the increase of vegetation cover rate within water areas as well as the decrease of impervious surface in landscape planning and design will make future parks colder. (3) There is a correlation between the PCI and the park characteristics. The UHI effect could be mitigated by increasing of park size and reducing park fractal dimension (Frac_Dim) and perimeter-area ratio (Patario). (4) The PCI is influenced by the park itself and its surrounding area. These results will provide an important reference for future urban planning and urban park design to mitigate the urban heat island effect.

scholarly journals DINAMIKA SUHU PERMUKAAN DAN KERAPATAN VEGETASI DI KOTA CIREBON

2019 ◽  
Vol 6 (1) ◽  
pp. 23-31
Author(s):  
Moh Dede ◽  
Galuh Putri Pramulatsih ◽  
Millary Agung Widiawaty ◽  
Yanuar Rizky Rizky Ramadhan ◽  
Amniar Ati
Keyword(s):  
Transfer Equation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Radiative Transfer Equation ◽  
Landsat 8 ◽  
Heat Island ◽  
Landsat 8 Oli ◽  
Multi Temporal ◽  
Urban Heat ◽  
Landsat 5 Tm

Peningkatan suhu udara merupakan dampak dari pemanasan global serta berkurangnya vegetasi. Pada kawasan perkotaan, peningkatan suhu udara secara signifikan dapat memunculkan fenomena urban heat island yang dalam jangka panjang mampu mengubah iklim mikro. Estimasi suhu permukaan dan kerapatan vegetasi diperoleh dari data satelit penginderaan jauh secara multi-temporal. Penelitian ini bertujuan untuk menganalisis dinamika suhu permukaan dan kerapatan vegetasi di Kota Cirebon. Penelitian ini memanfaatkan data citra Landsat-5 TM dan Landsat-8 OLI yang divalidasi dengan data MODIS pada periode tahun 1998, 2008, serta 2018. Nilai suhu permukaan diekstraksi dengan radiative transfer equation, sedangkan informasi kerapatan vegetasi diperoleh dengan normalized difference vegetation index (NDVI). Interaksi antara suhu permukaan dan kerapatan vegetasi diketahui melalui analisis korelasi spasial. Sepanjang tahun 1998 hingga 2018 terjadi peningkatan suhu permukaan sebesar 1.18 oC yang disertai dengan menurunnya area bervegetasi rapat hingga 12.683 km2. Penelitian ini juga menunjukkan korelasi negatif yang signifikan antara suhu permukaan dan kerapatan vegetasi di Kota Cirebon. Suhu permukaan tertinggi terpusat pada CBD, pelabuhan, area rawan kemacetan, kawasan industri, dan terminal. Berdasarkan kajian ini, upaya menanggulangi suhu permukaan di Kota Cirebon perlu ditangani melalui penyediaan ruang terbuka hijau, green belt, maupun reforestrasi.

scholarly journals The localization of urban heat island in the Katowice conurbation (Poland) using the combination of land surface temperature, Normalized Difference Vegetation Index and Normalized Difference Built-up Index

2021 ◽  
Vol 94 (1) ◽  
pp. 111-129
Author(s):  
Ádám Nádudvari
Keyword(s):  
Surface Temperature ◽  
Urban Heat Island ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
High Surface ◽  
Temperature Measurements ◽  
Heat Island ◽  
Urban Heat

The localization of Surface Urban Heat Island (SUHI) as a potential heat risk for the urban population was evaluated. The paper aimed to propose an approach to quantify and localize (SUHI) based on Landsat series TM, ETM+, OLI satellite imageries from the period 1996-2018 and recognize the Atmospheric Urban Heat Island (AUHI) effects from long term temperature measurements. Using the theoretical relation between the Normalized Difference Built-up Index (NDBI), the Normalized Difference Vegetation Index (NDVI) and the LST (Land Surface Temperature), SUHIintensity and SUHIrisk maps were created from the combination of LST, NDVI, NDBI using threshold values to localize urban heat island in the Katowice conurbation. Negative values of SUHI intensity characterize areas where there is no vegetation, highly built-up areas, and areas with high surface temperatures. The urban grow – revealed from SUHI – and global climate change are acting together to strengthen the global AUHI effect in the region as the temperature measurements were indicated.

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