Analysis of the LST and Vegetation Indices relationship using Landsat-8 data in Duhok Governorate, Iraq
DOI:
https://doi.org/10.23851/mjs.v32i4.1012Keywords:
LST, NDVI, GRVI, Duhok, Iraq.Abstract
Vegetation cover is considered one of the most important factors that affect weather, climate, and the environment. This paper aims to study the correlation between land surface temperature and the Vegetation Indices using Landsat data in Duhok Governorate, Iraq. Landsat-8 images were taken for December, April, July, and October in 2019. Geographic Information System ArcGIS 10.2 package has been used to calculate the results. The Normalized difference vegetation index NDVI, Green ratio vegetation index (GRVI), and land surface temperature (LST) have been computed. The results showed that were a strong positive relationship between vegetation indices during winter, spring, summer, and fall seasons. The correlation coefficient values ranged from (0.9) in winter, (0.96) in spring, (0.95) in summer and (0.89) in autumn seasons. Also, the results showed a strong inverse correlation among LST and NDVI, GRVI indices during winter, spring, summer, and autumn seasons. The strongest correlation between land surface temperature and the Vegetation Indices was in the Spring Season. These correlations can be used to study vegetation health, drought.
Downloads
References
M. Mora, F. Avila, M. Carrasco-Benavides, G. Maldonado, J. Olguín-Cáceres, and S. Fuentes, "Automated computation of leaf area index from fruit trees using improved image processing algorithms applied to canopy cover digital photograpies," Computers and Electronics in Agriculture, vol. 123, pp. 195-202, 2016.
Martynenko, K. Shotton, T. Astatkie, G. Petrash, C. Fowler, W. Neily, et al., "Thermal imaging of soybean response to drought stress: the effect of Ascophyllum nodosum seaweed extract," Springerplus, vol. 5, pp. 1-14, 2016.
M. Campos-Taberner, F. J. García-Haro, R. Confalonieri, B. Martínez, Á. Moreno, S. Sánchez-Ruiz, et al., "Multitemporal monitoring of plant area index in the Valencia rice district with PocketLAI," Remote Sensing, vol. 8, p. 202, 2016.
L. Chang, S. Peng-Sen, and L. Shi-Rong, "A review of plant spectral reflectance response to water physiological changes," Chinese Journal of Plant Ecology, vol. 40, pp. 80-91, 2016.
Merlone, H. Al‐Dashti, N. Faisal, R. S. Cerveny, S. AlSarmi, P. Bessemoulin, et al., "Temperature extreme records: World Meteorological Organization metrological and meteorological evaluation of the 54.0 C observations in Mitribah, Kuwait and Turbat, Pakistan in 2016/2017," International Journal of Climatology, vol. 39, pp. 5154-5169, 2019.
J. Xue and B. Su, "Significant remote sensing vegetation indices: A review of developments and applications," Journal of Sensors, vol. 2017, 2017.
B. Alahmad, L. P. Tomasso, A. Al-Hemoud, P. James, and P. Koutrakis, "Spatial Distribution of Land Surface Temperatures in Kuwait: Urban Heat and Cool Islands," International Journal of Environmental Research and Public Health, vol. 17, p. 2993, 2020.
Rasul, H. Balzter, and C. Smith, "Diurnal and seasonal variation of surface urban cool and heat islands in the semi-arid city of Erbil, Iraq," Climate, vol. 4, p. 42, 2016.
K. Deilami, M. Kamruzzaman, and Y. Liu, "Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures," International journal of applied earth observation and geoinformation, vol. 67, pp. 30-42, 2018.
A. Gasparrini, Y. Guo, M. Hashizume, E. Lavigne, A. Zanobetti, J. Schwartz, et al., "Mortality risk attributable to high and low ambient temperature: a multicountry observational study," The Lancet, vol. 386, pp. 369-375, 2015
C. Wang, S. W. Myint, Z. Wang, and J. Song, "Spatio-temporal modeling of the urban heat island in the Phoenix metropolitan area: Land use change implications," Remote Sensing, vol. 8, p. 185, 2016.
Y. T. Mustafa and H. N. Habeeb, "Landsat LDCM Imagery for Estimating and Mapping Burned Forest Areas Caused By Jet Attacks in Duhok Governorate, Kurdistan Region-Iraq," Journal of University of Duhok, vol. 19, pp. 683-690, 2016
J. Rouse, R. Hass, J. Schell, and D. Deering, "Monitoring vegetation systems in the great plains with ERTS. Third Earth Resour. Technol. Satell. Symp. 1, 309-317," ed, 1973.
A. Huete, K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira, "Overview of the radiometric and biophysical performance of the MODIS vegetation indices," Remote sensing of environment, vol. 83, pp. 195-213, 2002.
J. R. Townshend, T. E. Goff, and C. J. Tucker, "Multitemporal dimensionality of images of normalized difference vegetation index at continental scales," IEEE Transactions on Geoscience and Remote sensing, pp. 888-895, 1985.
R. P. Sripada, "Determining in-season nitrogen requirements for corn using aerial color-infrared photography," 2005.
R. P. Sripada, R. W. Heiniger, J. G. White, and A. D. Meijer, "Aerial color infrared photography for determining early in‐season nitrogen requirements in corn," Agronomy Journal, vol. 98, pp. 968-977, 2006.
G. Chander, B. L. Markham, and D. L. Helder, "Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors," Remote sensing of environment, vol. 113, pp. 893-903, 2009.
Q. Weng, D. Lu, and J. Schubring, "Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies," Remote sensing of Environment, vol. 89, pp. 467-483, 2004.
D. A. Artis and W. H. Carnahan, "Survey of emissivity variability in thermography of urban areas," Remote sensing of Environment, vol. 12, pp. 313-329, 1982.
J. A. Sobrino, J. C. Jiménez-Muñoz, and L. Paolini, "Land surface temperature retrieval from LANDSAT TM 5," Remote Sensing of environment, vol. 90, pp. 434-440, 2004.
T. N. Carlson and D. A. Ripley, "On the relation between NDVI, fractional vegetation cover, and leaf area index," Remote sensing of Environment, vol. 62, pp. 241-252, 1997.
Downloads
Key Dates
Received
Accepted
Published
Issue
Section
License
Copyright (c) 2021 Al-Mustansiriyah Journal of Science
This work is licensed under a Creative Commons Attribution 4.0 International License.
(Starting May 5, 2024) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.