Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series
Yıl: 2022 Cilt: 7 Sayı: 1 Sayfa Aralığı: 9 - 16 Metin Dili: İngilizce DOI: 10.26833/ijeg.833260 İndeks Tarihi: 25-08-2022
Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series
Öz: The present study analyzes the seasonal variability of the relationship between the land surface temperature (LST) and normalized difference bareness index (NDBaI) on different land use/land cover (LULC) in Raipur City, India by using sixty-five Landsat images of four seasons (pre-monsoon, monsoon, post-monsoon, and winter) of 1991-1992, 1995-1996, 1999-2000, 2004-2005, 2009-2010, 2014-2015, and 2018-2019. The mono-window algorithm was used to retrieve LST and Pearson's correlation coefficient was used to generate the LST-NDBaI relationship. The post-monsoon season builds the best correlation (0.59) among the four seasons. The water bodies builds a moderate to strong positive correlation (>0.50) in all the four seasons. On green vegetation, this correlation is moderate to strong positive (>0.54) in the three seasons, except the pre-monsoon season. The built-up area and bare land generate a moderate positive correlation (>0.34) in all the four seasons. Among the four seasons, the post-monsoon season builds the best correlation for all LULC types, whereas the pre-monsoon season has the least correlation. This research work is useful for environmental planning of other citieswith similar climatic conditions.
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- Ahmed B, Kamruzzaman M, Zhu X, Rahman M S & Choi K (2013). Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh. Remote Sensing, 5(11), 5969-5998. https://doi.org/10.3390/rs5115969
- Alexander C (2020). Normalised difference spectral indices and urban land cover as indicators of land surface temperature (LST). International Journal of Applied Earth Observation and Geoinformation, 86, 102013. https://doi.org/10.1016/j.jag.2019.102013
- Alibakhshi Z, Ahmadi M& Farajzadeh Asl M (2020). Modeling Biophysical Variables and Land Surface Temperature Using the GWR Model: Case Study— Tehran and Its Satellite Cities. Journal of Indian Society of Remote Sensing,48, 59–70. https://doi.org/10.1007/s12524-019-01062-x
- Ali J M, Marsh S H& Smith M J (2017). A comparison between London and Baghdad surface urban heat islands and possible engineering mitigation solutions. Sustainable Cities and Society, 29, 159- 168. https://doi.org/10.1016/j.scs.2016.12.010
- As-syakur A R, Adnyana I W S, Arthana I W & Nuarsa I W (2012). Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area. Remote Sensing, 4(10), 2957-2970. https://doi.org/10.3390/rs4102957
- Barsi J, Schott J, Hook S, Raqueno N, Markham B& Radocinski R (2014). Landsat-8 thermal infrared sensor (TIRS) vicarious radiometric calibration. Remote Sensing, 6(11), 11607-11626.
- Carlson T N& Ripley D A (1997). On the Relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index. Remote Sensing of Environment, 62, 241-252. https://doi.org/10.1016/S0034- 4257(97)00104-1
- Chen X L, Zhao H M, Li P X& Yi Z Y (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133–146. https://doi.org/10.1016/j.rse.2005.11.016
- Chen X& Zhang Y (2017). Impacts of urban surface characteristics on spatiotemporal pattern of land surface temperature in Kunming of China. Sustainable Cities and Society, 32, 87-99. https://doi.org/10.1016/j.scs.2017.03.013
- Essa W, Verbeiren B, Van der Kwast J, Van de Voorde T& Batelaan O (2012). Evaluation of the DisTrad thermal sharpening methodology for urban areas. International Journal of Applied Earth Observation and Geoinformation, 19, 163-172. https://doi.org/10.1016/j.jag.2012.05.010
- Guha S, Govil H, Dey A & Gill N (2020a). A case study on the relationship between land surface temperature and land surface indices in Raipur City, India. Geografisk Tidsskrift-Danish Journal of Geography, 120(1), 35-50. https://doi.org/10.1080/00167223.2020.1752272
- Guha S, Govil H, Gill N & Dey A (2020b). Analytical study on the relationship between land surface temperature and land use/land cover indices. Annals of GIS, 26(2), 201-216. https://doi.org/10.1080/19475683.2020.1754291
- Guha S, Govil H & Mukherjee S (2017). Dynamic analysis and ecological evaluation of urban heat islands in Raipur city, India. Journal of Applied Remote Sensing, 11(3), 036020. https://doi:10.1117/1.JRS.11.036020
- Guo G, Wu Z& Chen Y (2014). Estimation of subpixel land surface temperature using Landsat TM imagery: A case examination over a heterogeneous urban area. Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA), Changsha, p. 304-308. https://doi.org/10.1109/EORSA.2014.6927900
- Guo G, Wu Z, Xiao R, Chen Y, Liu X& Zhang X (2015). Impacts of urban biophysical composition on land surface temperature in urban heat island clusters. Landscape and Urban Planning, 135, 1-10. https://doi.org/10.1016/j.landurbplan.2014.11.007
- Hao X, Li W& Deng H (2016). The oasis effect and summer temperature rise in arid regions-case study in Tarim Basin. Scientific Reports, 6, 35418. https://doi.org/10.1038/srep35418
- Jain S, Sannigrahi S, Sen S, Bhatt S, Chakraborti S& Rahmat S (2020). Urban heat island intensity and its mitigation strategies in the fast-growing urban area. Journal of Urban Management, 9(1), 54-66. https://doi.org/10.1016/j.jum.2019.09.004
- Li J (2006). Estimating land surface temperature from Landsat-5 TM. Remote Sensing Technology and Application, 21, 322-326.
- Li Z N, Duan S B, Tang B H, Wu H, Ren H G& Yan G J (2016). Review of methods for land surface temperature derived from thermal infrared remotely sensed data. Journal of Remote Sensing, 20, 899–920.
- Macarof P, Bîrlica I C& Stătescu F (2017). Investigating the relationship between land surface temperature and urban indices using landsat-8: a case study of Iaşi. Lucrările Seminarului Geografic Dimitrie Cantemir, 45, 81-88. https://doi.org/10.15551/lsgdc.v45i0.07
- Mushore T D, Odindi J, Dube T& Mutanga O (2017). Prediction of future urban surface temperatures using medium resolution satellite data in Harare metropolitan city, Zimbabwe. Building and Environment, 122, 397-410. https://doi.org/10.1016/j.buildenv.2017.06.033
- Nimish G, Bharath H A& Lalitha A (2020). Exploring temperature indices by deriving relationship between land surface temperature and urban landscape. Remote Sensing Application: Society and Environment, 18, 100299. https://doi.org/10.1016/j.rsase.2020.100299
- Qin Z, Karnieli A& Barliner P (2001). A Mono-Window Algorithm for Retrieving Land Surface Temperature from Landsat TM Data and Its Application to the Israel-Egypt Border Region. International Journal of Remote Sensing, 22(18), 3719-3746. https://doi:10.1080/01431160010006971
- Sekertekin A, Kutoglu SH & Kaya S (2016). Evaluation of spatio-temporal variability in Land Surface Temperature: A case study of Zonguldak, Turkey. Environmental Monitoring and Assessment, 188, 30. https://doi.org/10.1007/s10661-015-5032-2
- Sharma R, Ghosh A& Joshi P K (2013). Mapping environmental impacts of rapid urbanization in the National Capital Region of India using remote sensing inputs. Geocarto International, 28(5), 420- 438. https://doi.org/10.1080/10106049.2012.715208
- Sharma R& Joshi P K (2016). Mapping environmental impacts of rapid urbanization in the National Capital Region of India using remote sensing inputs. Urban Climate, 15, 70-82. https://doi.org/10.1016/j.uclim.2016.01.004
- Sobrino J A, Raissouni N& Li Z (2001). A comparative study of land surface emissivity retrieval from NOAA data. Remote Sensing of Environment,75(2), 256– 266. https://doi.org/10.1016/S0034- 4257(00)00171-1
- Sobrino J A, Jimenez-Munoz J C & Paolini L (2004). Land surface temperature retrieval from Landsat TM5.Remote Sensing of Environment, 9, 434–440. https://doi:10.1016/j.rse.2004.02.003
- Sun Q, Tan J & Xu Y (2010). An ERDAS image processing method for retrieving LST and describing urban heat evolution: A case study in the Pearl River Delta Region in South China. Environmental Earth Science, 59, 1047-1055.
- Tomlinson C J, Chapman L, Trones J E& Baker C (2011). Remote sensing land surface temperature for meteorology and climatology: a review. Meteorological Application, 118, 296–306. https://doi.org/10.1002/met.287
- URL-1: hthttp://www.surveyofindia.gov.in
- URL-2: http://www.raipur.gov.in
- URL-3: https://www.earthexplorer.usgs.gov
- URL-4: http://www.imdraipur.gov.in
- Vlassova L, Perez-Cabello F, Nieto H, Martín P, Riaño D, & De La Riva J (2014). Assessment of methods for land surface temperature retrieval from Landsat-5 TM images applicable to multiscale tree-grass ecosystem modeling. Remote Sensing, 6(5), 4345-4368.
- Wukelic G E, Gibbons D E, Martucci L M&Foote H P (1989). Radiometric calibration of Landsat Thematic Mapper thermal band. Remote Sensing of Environment, 28, 339–347. https://doi.org/10.1016/0034-4257(89)90125-9
- Yang J& Que J (1996). The empirical expressions of the relation between precipitable water and ground water vapor pressure for some areas in China.Scientia Atmospherica Sinica, 20, 620-626.
- Zanter K (2019). Landsat 8 (L8) Data Users Handbook; EROS: Sioux Falls, SD, USA.
- Zhao H M & Chen X L (2005). Use of normalized difference bareness index in quickly mapping bare areas from TM/ETM+. Geoscience and Remote Sensing Symposium. 3 (25–29), p.1666−1668. https://doi.org/10.1109/IGARSS.2005.1526319
APA | Guha S, Govil H (2022). Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. , 9 - 16. 10.26833/ijeg.833260 |
Chicago | Guha Subhanil,Govil Himanshu Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. (2022): 9 - 16. 10.26833/ijeg.833260 |
MLA | Guha Subhanil,Govil Himanshu Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. , 2022, ss.9 - 16. 10.26833/ijeg.833260 |
AMA | Guha S,Govil H Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. . 2022; 9 - 16. 10.26833/ijeg.833260 |
Vancouver | Guha S,Govil H Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. . 2022; 9 - 16. 10.26833/ijeg.833260 |
IEEE | Guha S,Govil H "Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series." , ss.9 - 16, 2022. 10.26833/ijeg.833260 |
ISNAD | Guha, Subhanil - Govil, Himanshu. "Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series". (2022), 9-16. https://doi.org/10.26833/ijeg.833260 |
APA | Guha S, Govil H (2022). Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. International Journal of Engineering and Geosciences, 7(1), 9 - 16. 10.26833/ijeg.833260 |
Chicago | Guha Subhanil,Govil Himanshu Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. International Journal of Engineering and Geosciences 7, no.1 (2022): 9 - 16. 10.26833/ijeg.833260 |
MLA | Guha Subhanil,Govil Himanshu Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. International Journal of Engineering and Geosciences, vol.7, no.1, 2022, ss.9 - 16. 10.26833/ijeg.833260 |
AMA | Guha S,Govil H Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. International Journal of Engineering and Geosciences. 2022; 7(1): 9 - 16. 10.26833/ijeg.833260 |
Vancouver | Guha S,Govil H Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series. International Journal of Engineering and Geosciences. 2022; 7(1): 9 - 16. 10.26833/ijeg.833260 |
IEEE | Guha S,Govil H "Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series." International Journal of Engineering and Geosciences, 7, ss.9 - 16, 2022. 10.26833/ijeg.833260 |
ISNAD | Guha, Subhanil - Govil, Himanshu. "Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series". International Journal of Engineering and Geosciences 7/1 (2022), 9-16. https://doi.org/10.26833/ijeg.833260 |