scholarly journals Correlation analysis of Land Surface Temperature (LST) measurement using DJI Mavic Enterprise Dual Thermal and Landsat 8 Satellite Imagery (case study: Surabaya City)

2021 ◽  
Vol 936 (1) ◽  
pp. 012037
Author(s):  
R R Darettamarlan ◽  
H Hidayat ◽  
M R Darminto
Keyword(s):  
Land Cover ◽  
Satellite Imagery ◽  
Pearson Correlation ◽  
Thermal Infrared ◽  
Temperature Data ◽  
Landsat 8 ◽  
Infrared Sensor ◽  
Positive Correlation ◽  
Actual Temperature ◽  
The Relationship

Abstract Landsat 8 Satellite Imagery (Landsat Data Continuity Mission, LDCM) is a satellite product made by Orbital Science Corporation, which launched with The Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) instruments as the latest features. One of the Thermal Infrared Sensor (TIRS) instruments is called Band 10, that provide temperature information on the earth’s surface. As many research conduct the temperature comparison between satellite imagery analysis and land cover temperature has been come with positive correlation for both of the variable. As to prove the temperature relationship, it is necessary to validate the actual temperature values on the earth’s surface by conduct the temperature survey in the area using the temperature measurement tools. One of the tools is DJI Mavic Enterprise Dual Thermal camera as the camera that capable to take samples data of particular objects categories that included urban areas, waters, vegetation, open land, settlements, and industrial factories. Using the satellite imagery’s temperature data and the land cover temperature data survey, comparing and accuration assessment are needed to see how close the value of both variable. The data processing carried out that both of the data have a positive correlation as the relationship, which have a Pearson correlation value of 0.892 and sig. (2-tailed) at the number 0.000000068. This correlation value showed that the relationship between both data is acceptable as the both data can represent each other to conduct any research. However, as the satellite imagery contains 29,85% of cloud cover, the temperature obtained lower in the Landsat 8 satellite image rather than the actual temperature on the earth’s surface.

scholarly journals Land Surface Temperature Retrieval from LANDSAT-8 Thermal Infrared Sensor Data and Validation with Infrared Thermometer Camera

2018 ◽  
Vol 7 (4.20) ◽  
pp. 608 ◽  
Author(s):  
Muhammad Mejbel Salih ◽  
Oday Zakariya Jasim ◽  
Khalid I. Hassoon ◽  
Aysar Jameel Abdalkadhum
Keyword(s):  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Thermal Infrared ◽  
Landsat 8 ◽  
Infrared Sensor ◽  
Infrared Thermometer ◽  
Ground Truth Data ◽  
Land Cover Types

This paper illustrates a proposed method for the retrieval of land surface temperature (LST) from the two thermal bands of the LANDSAT-8 data. LANDSAT-8, the latest satellite from Landsat series, launched on 11 February 2013, using LANDSAT-8 Operational Line Imager and Thermal Infrared Sensor (OLI & TIRS) satellite data. LANDSAT-8 medium spatial resolution multispectral imagery presents particular interest in extracting land cover, because of the fine spectral resolution, the radiometric quantization of 12 bits. In this search a trial has been made to estimate LST over Al-Hashimiya district, south of Babylon province, middle of Iraq. Two dates images acquired on 2nd &18th of March 2018 to retrieve LST and compare them with ground truth data from infrared thermometer camera (all the measurements contacted with target by using type-k thermocouple) at the same time of images capture. The results showed that the rivers had a higher LST which is different to the other land cover types, of less than 3.47 C ◦, and the LST different for vegetation and residential area were less than 0.4 C ◦ with correlation coefficient of the two bands 10 and 11 Rbnad10= 0.70, Rband11 = 0.89 respectively, for the imaged acquired on the 2nd of march 2018 and Rband10= 0.70 and Rband11 = 0.72 on the 18th of march 2018. These results confirm that the proposed approach is effective for the retrieval of LST from the LANDSAT-8 Thermal bands, and the IR thermometer camera data which is an effective way to validate and improve the performance of LST retrieval. Generally the results show that the closer measurement taken from the scene center time, a better quality to classify the land cover. The purpose of this study is to assess the use of LANDSAT-8 data to specify temperature differences in land cover and compare the relationship between land surface temperature and land cover types.   

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

scholarly journals Balanço de radiação através do satélite Landsat-8 na bacia do Rio Pajeú

2017 ◽  
Vol 33 ◽  
pp. 117
Author(s):  
Laurizio Emanuel Ribeiro Alves ◽  
Heliofábio Barros Gomes ◽  
Maurílio Neemias dos Santos ◽  
Ismael Guidson Farias de Freitas
Keyword(s):  
Thermal Infrared ◽  
Landsat 8 ◽  
Infrared Sensor

O presente estudo tem como objetivo realizar a estimativa do saldo de radiação à superfície-Rn através do algoritmo SEBAL e imagens do satélite Landsat-8 para a Bacia do Rio Pajeú. Os dados de Rn estimados pelo SEBAL foram comparados com medições obtidas em duas estações automáticas localizadas nos municípios de Floresta e Serra Talhada. Foi utilizada uma imagem dos sensores OLI (Operational Land Image) e TIRS (Thermal Infrared Sensor) abordo do satélite Landsat-8, orbita 216 e ponto 66, para o dia 20 de novembro de 2016. A partir das imagens se obteve a radiância e reflectividade espectral, seguido do albedo de superfície, índices de vegetação, emissividade, temperatura superficial, radiação de onda curta incidente – Rs, radiação de onda longa incidente e emitida - Rol,atm e Rol,emi, respectivamente, e Rn. Nos resultados encontrados observa-se que os menores valores de albedo e temperatura foram observados em corpos d’água e vegetação, e maiores valores em áreas urbanas. Estas componentes estão ligadas diretamente com as componentes do saldo de radiação, onde se observou menores valores de Rol,atm e Rol,emi que estão diretamente ligadas a maior ou menor Rn. A validação dos dados do algoritmo SEBAL a partir das estações automáticas foi observado um erro relativo entre 9 e 11% para a imagem Landsat-8 para o dia 20/09/2016, verificando a acurácia das imagens para a estimativa do saldo de radiação à superfície – Rn, para a Bacia do Rio Pajeú.

scholarly journals The Relationship between Attitudes towards Physical Activity and Self-Esteem of High School Students

2019 ◽  
Vol 5 (1) ◽  
pp. 70-73
Author(s):  
H. Fatih KUCUKIBIS ◽  
Mehmet GUL
Keyword(s):  
Physical Activity ◽  
High School ◽  
High School Students ◽  
Personal Information ◽  
Pearson Correlation ◽  
Self Esteem ◽  
Study Data ◽  
School Students ◽  
Positive Correlation ◽  
The Relationship

The purpose of this study was to examine the relationship between attitudes towards physical activity and self-esteem of high school students. Three different scales were used on 626 adolescents in total who lived in Sivas, found by random sampling method. The first scale is “the Personal Information Scale” consisting of 6 items to determine the demographical characteristics of the participants; the second scale is “the Cognitive Behavioral Physical Activity Questionnaire (CBPA)”, which was developed by Schembre et al. (2015) and was adapted to Turkish by Eskiler et al. (2016) to determine the participants’ attitudes towards physical activity; and the last scale is “the Self-Esteem Scale” by Rosenberg (1965) and adapted to Turkish by Çuhadaroğlu (1985) to determine the levels of self-esteem of the participants. The study data was analyzed by SPSS 25 package software. The obtained data were represented as values of frequency (f), percentage (%), average (x-), and standard deviation (±). Pearson Correlation analysis was applied in order to determine the effect of physical activity attitudes on self-esteem. The age average of the participants was determined to be 16,28 (±0,97). The gender distribution was 312 females and 314 males, and the number of those who were participating in licensed sports was 336, and that of those who were not was 290. It was determined that there was a positive correlation between the participants’ attitude towards physical activity and their self-esteem. In conclusion, a positive correlation was found between the attitude towards physical activity and self-esteem. In the study, it was suggested that the tendencies towards physical activity should be protected.

scholarly journals Pemetaan Suhu Permukaan Anomali Panas Bumi Daerah Gunung Ciremai Menggunakan Data Inframerah Termal Landsat 8

2021 ◽  
Vol 2 (2) ◽  
pp. 92-99
Author(s):  
Syatiya Mirwanda ◽  
Fatiha Salsabila ◽  
Regita Pramesti ◽  
Annida Rifqoh Zakiyyah ◽  
Muhammad Rizki Tuelzar
Keyword(s):  
Thermal Infrared ◽  
Landsat 8 ◽  
Infrared Sensor

Prospek geotermal di daerah Timur Ciremai berada pada aktivitas vulkanik aktif namun pencarian prospek panas bumi di area ini mengabur akibat adanya kontras antara batuan vulkanik dengan batuan sedimen. Penelitian ini mencoba mengidentifikasi area potensial panas bumi berdasarkan suhu permukaan menggunakan metode pengindraan jauh. Data yang digunakan berupa citra satelit Landsat 8 yang sudah mempunyai sensor termal yang disebut Thermal Infrared Sensor (TIRS) pada pita sensor 10 dan 11 yang dikombinasikan dengan NDVI. Hasil analisis NDVI menunjukkan bahwa daerah penelitian memiliki vegetasi dan permukaan berupa air atau awan yang lebih banyak memantulkan gelombang cahaya tampak dibandingkan gelombang infrared dengan nilai NDVI -0,75 - 0,88. Hasil analisis LST dapat diketahui bahwa suhu permukaan pada daerah tersebut memiliki nilai dalam rentang 15 °C – 31 °C. Area yang memiliki tingkat LST tinggi di antara tingkat LST yang rendah dapat diperkirakan sebagai area yang memiliki anomali. Hal ini bersesuaian dengan kerapatan vegetasi pada area tersebut yang tinggi sehingga seharusnya besar suhu permukaannya rendah bukan sebaliknya. Berdasarkan integrasi dengan data manifestasi di lapangan, maka dapat di pastikan bahwasanya terdapat beberapa anomali panas bumi pada arah tenggara dari Gunung Ciremai.

Religious Values and their Effect on the Perception of a Therapist in a Psychotherapy Analogue

1976 ◽  
Vol 4 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Carl D. Haugen ◽  
Keith J. Edwards
Keyword(s):  
Analysis Of Variance ◽  
Religious Orientation ◽  
Pearson Correlation ◽  
Value Orientation ◽  
Analysis Of Covariance ◽  
Control Group ◽  
Interpersonal Style ◽  
Positive Correlation ◽  
Dependent Variables ◽  
The Relationship

The purpose of the study was, first, to determine whether labeling a taped therapist in terms of the therapist's religious value orientation (Christian/non-Christian) and interpersonal style (warm/cold) would change religious subjects’ perceptions of the relationship. Second, it was to determine whether the strength of attraction of the religious value orientation was greater than the interpersonal style. Seventy-one Christian evangelical undergraduates were randomly assigned to five groups. Four groups were given different information with regard to a therapist's warmth and Christianity. The fifth group acted as a control. Following structuring, all subjects listened to the same tape of a simulated therapy session. At the conclusion, the subjects rated the tape using scales to measure the dependent variables of attraction, receptivity, persuasibility, and willingness to meet. A two by two and one by five analysis of covariance and analysis of variance were computed. The only significant results found were that the control group evidenced more persuasibility than the Christian/cold and non-Christian/cold groups. Examination of group means showed a trend in the direction hypothesized for attraction and receptivity. A Pearson correlation was computed to determine the relationship between perception of the therapist's religious orientation and the dependent variables and perception of the therapist's interpersonal style and the dependent variables. There was a positive correlation between rating the therapist as Christian and the dependent variables of attraction and receptivity, p<.05. There was also a positive correlation between rating the therapist as warm and attraction and receptivity, p<.05.

scholarly journals An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data

2015 ◽  
Vol 7 (4) ◽  
pp. 4268-4289 ◽  
Author(s):  
Fei Wang ◽  
Zhihao Qin ◽  
Caiying Song ◽  
Lili Tu ◽  
Arnon Karnieli ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Thermal Infrared ◽  
Sensor Data ◽  
Landsat 8 ◽  
Infrared Sensor ◽  
Temperature Retrieval

scholarly journals Geoprocessamento aplicado na análise dos efeitos da urbanização no campo térmico em Fortaleza, Ceará

2020 ◽  
Vol 9 (7) ◽  
pp. e57973731
Author(s):  
Eliezio Nascimento Barboza ◽  
Francisco das Chagas Bezerra Neto ◽  
Clarice Ribeiro Alves Caiana
Keyword(s):  
United States ◽  
Thermal Infrared ◽  
Geological Survey ◽  
United States Geological Survey ◽  
Landsat 8 ◽  
Infrared Sensor

O rápido e desordenado crescimento urbano gerou um meio geográfico artificial e de baixa salubridade ambiental, caracterizado pela expansão de áreas periféricas e centrais. As transformações no uso e ocupação do solo geram mudanças no balanço de energia e na atmosfera, resultando no aquecimento das cidades. Portanto, o objetivo desse artigo é analisar a Temperatura de Superfície Terrestre (TST) e relacionar com cobertura vegetal por meio do Índice de Vegetação por Diferença Normalizada (NDVI) no município de Fortaleza, Ceará. Inicialmente foram obitidas as imagens orbitais, sensores OLI, (Operational Land Imager) e TIRS10 (Thermal Infrared Sensor) do Landsat-8 em United States Geological Survey (USGS) – órbita 217 e ponto 62. As imagens escolhidas para esse estudo é de 02/08/2013 e 26/08/2016. Verificou-se a relação direta do vigor da biomassa (NDVI) e da urbanização com valores de temperatura de superfície e as ilhas de calor urbano. Os ambientes que apresentaram menores valores de NDVI, com exceção os corpos aquáticos, apresentaram maiores valores de temperatura, expondo a importância da vegetação no microclima.

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