1- Abdolmohammadi, Ildarmi, Heshmati, Shohreh, Alireza, Mosayeb, 2011, The effect of land use change on some physical and chemical characteristics of soil in the Halshi watershed of Kermanshah, Geography and Planning, Vol. 25, No. 75, 171-180 180. (In Persian).
https://doi.org/10.22034/gp.2021.10902
2- Abedini, Pasban, Babaei Olam, Musa, Amirhossein, Tayyebeh, 2014, Investigating the relationship between land use changes and land surface temperature using Google Earth Engine (GEE) (Case study: Pars Abad County), Geography and Human Relations, Volume 7, Issue 1, 445-459.(In Persian). 10.22034/GAHR.2024.461242.2164
3- Ahmadi, Ghorbani, Safarrad, Sobhani, Behrouz, Ardavan, Taher, Behrouz, 2015, Investigation of land surface temperature in relation to land use and cover using remote sensing data. Journal of Remote Sensing and Geographic Information Systems in Natural Resources, Year 6, Issue 1, 61-78. (In Persian). https://sid.ir/paper/189559/fa
4- Alademomi, A. S., Okolie, C. J., Daramola, O. E., Agboola, R. O., & Salami, T. J,2020, Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment. Quaestiones Geographicae, 39(3), 87-109. (In Persian).
5- Alimoradi, Khorani, Esmaeil Pour, Saman, Asadolle, Yahya, 2017, Vegetation dynamics in relation to temperature and precipitation in the rangelands of the Karun Basin in Khuzestan Province, Applied Research in Geographical Sciences, Year 17, No. 44, 155-177. (In Persian).
6- Asghari Saraskanroud, Emami, Sayyad, Hadi, 2019, Monitoring land surface temperature and investigating the relationship between land use and land surface temperature using OLI and ETM sensor images + case study (Ardabil city), Applied Research in Geographic Sciences, Year 19(53), 195-215. (In Persian). https://sid.ir/paper/102206/fa
https://doi.org/10.2478/quageo-2020-0025
7- Athick, A. M. A., Shankar, K., & Naqvi, H. R. (2019). Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window, split window algorithm and spectral radiance model. Data in brief, 15-27.
doi: 10.1016/j.dib.2019.104773.
8- Bahri, Khosravi, Ali, Younes, 2017, Application of spatial statistics tools available in ArcGIS software in environmental sciences, mapping engineering and spatial information, 9th volume, 9(3), 50-39. (In Persian). http://gej.issgeac.ir/article-1-244-fa.html.
9- Bishal Roy, E., & Bari, E. (2022). Examining the relationship between land surface temperature and landscape feature using spectral indices with Google Earth Engine. Heliyon, 8, e10668.
doi: 10.1016/j.heliyon. 2022.e10668
10- Darvishi, Rashidpour, Soleimani, Shadman, Mustafa, Karim, 2019, Investigating the relationship between land use changes and land surface temperature using satellite images, case study: Marivan County, Geography and Development, No. 54, 143-162. (In Persian).
10.22111/GDIJ.2019.4361
11- Diksha, Kumari, M., Kumari, R. (2023). Spatiotemporal characterization of land surface temperature in relation to land use/cover: A spatial autocorrelation approach. Journal of Landscape Ecology, 16(1). https://doi.org/10.2478
https://www.sid.ir/paper/102137/fa
12- Divsalar, Hashemi, Nyusha, Karbala Saleh, Mahmoud, Mahmoud, Sajjad, 2014, Evaluation of the trend of changes in land surface temperature and analysis of spatial correlation with land structural elements in the Rasht watershed, Gilan province, Applied Ecology, 11th year, Fall, 47-59. (In Persian). http://ijae.iut.ac.ir/article-1-1103-fa.html
13- Ebrahimy, H., Aghighi, H., Azadbakht, M., Amani, M., Mahdavi, S., Matkan, A. A,2021, Downscaling MODIS land surface temperature product using an adaptive random forest regression method and Google Earth Engine for a 19-year spatiotemporal trend analysis over Iran. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14.
10.1109/JSTARS.2021.3051422
14- Elsu, C., Alex, K., V. Ramesh, & H. Sridevi,2017, Quantification and understanding the observed changes in land cover patterns in Bangalore. International Journal of Civil Engineering and Technology, 8(4), 597–603. ID: IJCIET_08_04_067
15- Entezari, Amir Ahmadi, Ali Abadi, Khosraoian, Ebrahimi, Ali Reza, Abolghasem, Kazem, Maryam, Majid, 2016, Monitoring land surface temperature and assessing land use change trends (case study: Lake Parishan watershed), Hydromorphology, No. 8, 113-139. (In Persian).
16- Ermida, S. L., Soares, P., Mantas, V., Gottsche, F. M., & Trigo, I. F,2020, Google Earth Engine open-source code for land surface temperature estimation from the Landsat series. Remote Sensing, 12, 1471. https://doi.org/10.3390/rs12091471
https://journals.tabrizu.ac.ir/article_5769.
17- Esmaeili Pishbar, Masoumeh, (2013), Planning and management of water resources at the watershed level in the context of the requirement to meet the environmental needs of wetlands (case study of Maharlu-Bakhtegan Wetland watershed). Master’s thesis in Civil Engineering, River Engineering, Ali Moridi and Mojtaba Sorian, Faculty of Water and Environmental Engineering, Shahid Beheshti University, Shahid Abbaspour Technical and Engineering Campus. (In Persian).
18- Feizizadeh, Dideban, Gholamnia, Bakhtiar, Khalil, Khalil, 2016, Estimating Earth’s Surface Temperature Using Landsat 8 Satellite Images and Discrete Window Algorithm, Case Study of Mahabad Basin, Sepehr Geographic Information, Volume 25, Issue 98, 171-185. (In Persian). https://doi.org/10.22131/sepehr.2016.22145
19- Gao, B. C,1996, NDWI A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 40-58, 1429.
DOI:10.1016/S0034-4257(96)00067-3
20- Gaylan Rasul Faqe Ibrahim,2017, Urban land use/land cover changes and their effect on land surface temperature: Case study using Dohuk City in the Kurdistan region of Iraq. Climate, 5(1), 13. https://doi.org/10.3390/cli5010013
21- Gemitzi, A., Dalampakis, P., & Falalakis, G,2021, Detecting geothermal anomalies using Landsat 8 thermal infrared remotely sensed data. International Journal of Applied Earth Observation and Geoinformation, 80-96, 102283. https://doi.org/10.1016/j.jag.2020.102283
22- Gillies, R. R., & Carlson, T. N,1995, Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. Journal of Applied Meteorology, 34(4), 745–756. https://doi.org/10.1175/1520-0450(1995)034<0745: TRSOSS>2.0.CO;2
23- Hasanvandi, Ali, 2010, Environmental Issues in Rural Development, Sepehr Geographic Information, Volume 21, Number 82, 89-91. (In Persian). 1001.1.25883860.1391.21.82.14.8
24- Hashemi, Alavi Panah, Dinarvandi, Mahmoud, Seyed Kazem, Morteza, 2013, Evaluation of the spatial distribution of land surface temperature in the urban environment using thermal remote sensing, Environment. No. 1. 92 – 81. (In Persian). 10.22059/JES.2013.30392
25- Heidari, Khoshakhlaq ,Moradi Moghadam, Molaei Pardeh, Faramarz, Mohammad Amin, Mohammad Amin, Asghar, 2013, Simulation of changes in Maragheh temperature regime due to drying of Lake Urmia, Geography and Environmental Hazards, Issue 8, 1-18. (In Persian). https://geoeh.um.ac.ir/article_38886.html
26- How Jin Aik, L., Muhammad, S., & Lee, K. (2020). Remote sensing applications in water surface studies using NDWI. Hydrology Journal, 12(3), 1-9. https://doi.org/10.1016/j.hydres.2024.09.002
27- How Jin Aik, D., Ismail, M. H., & Muharam, F. M,2020, Land Use/Land Cover Changes and the Relationship with Land Surface Temperature Using Landsat and MODIS Imageries in Cameron Highlands, Malaysia. Land, 9(10), 360-372. https://doi.org/10.3390/land9100372
28- Jamei, Y., Seyedmahmoudian, M., Jamei, E., Horan, B., Mekhilef, S., Stojcevski, A,2022, Investigating the relationship between land use/land cover change and land surface temperature using Google Earth Engine: Case study: Melbourne, Australia. Sustainability, 14, 14868. https://doi.org/10.3390/su142214868
29- Kardvani, Parviz, (1993), Soil Conservation, Tehran University Press. (In Persian).
30- Khosravi, Y., Bahri, A., Tavakoli, A,2020, Investigating sea surface temperature (SST) and spatial changes in Gulf of Oman for the period of 2003 to 2005. Journal of the Earth and Space Physics, 45(4), 165–179. 10.22059/JESPHYS.2019.252382.1006976
31- Khosravi, Heidari, Tavakoli, Zamani, Younes, Mohammad Ali, Azadeh, Abbas Ali, 2017, Investigating the relationship between temporal changes in land surface temperature and spatial patterns of land use changes (case study of Zanjan city), Spatial Planning and Arrangement, Volume 21, Issue 3, 119-144. (In Persian). http://hsmsp.modares.ac.ir/article-21-4560-fa.html
32- Kumari, M, Sarma, K, & Sharma, R,2019, Using Moran’s I and GIS to study the spatial pattern of land surface temperature in relation to land use/cover around a thermal power plant in Singrauli district, Madhya Pradesh, India. Remote Sensing Applications: Society and Environment, 15, 100239. DOI:10.1016/j.rsase.2019.100239
33- Leon, N., Ullmann, T., Kneisel, C., Sobiech-Wolf, J., Baumhauer, R.,2019, Assessing spatiotemporal variations of Landsat land surface temperature and multispectral indices in the Arctic Mackenzie Delta region between 1985 and 2018. Remote Sensing, 11, 2329.
https://doi.org/10.3390/rs11192329
34- Masoudian, Seyed Abolfazl, 2019, Reflection of environmental changes in changes in the frequency distribution of land surface temperature, a case study of the Zayandeh Rood and Urmia basins, Natural Environmental Hazards, Volume 8, Issue 19, 264-275. (In Persian). 10.22111/JNEH.2019.28272.1485
35- McFeeters, S. K,1996, The use of the normalized difference water index (NDWI) in the delineation of open water features. Remote Sensing, 1429. 10.1080/01431169608948714
36- Mir Mousavi, Seyed Hossein, 1403, Analysis of drought effects on water level changes in Bakhtegan-Tashk-Maharlu lakes, Sepehr Geographic Information, Volume 33, Number 130. (In Persian). 10.22131/SEPEHR.2024.2004008.2983
37- Momeni, Mehdi, 2010, The role of humans in changes in the natural environment, Geographic Information Sepehr, Volume 19, Number 75, 16-21. (In Persian).
20.1001.1.25883860.1389.19.75.3.9
38- Moradi, Khosravi, Zehtabian, Khalighi-Sigarudi, Sarda, Ehsan, Hassan, Gholamreza, Shahram, Artemi, 2019, Assessing land degradation vulnerability using network analysis process and geographic information system (Case study: Maharloo-Bakhtegan watershed), Iranian Soil and Water Research, Volume 51, Issue 5. (In Persian). 10.22059/IJSWR.2020.293299.668410
39- Mozaffari, M., Hosseini, Z., & Feijani, E. (2022). Assessment of the role of meteorological and hydrological droughts in the desiccation of Bakhtegan and Tashk Lakes. Journal of Natural Environmental Hazards, 11(34), 79–100. https://doi.org/10.22111/jneh.2022.39448.1835
40- Nadian, Mirzaei, Soltani Mohammadi, Marzieh, Ruhollah, Saeed, 2018, Application of Moran’s Spatial Autocorrelation Index in Spatio-Temporal Analysis of PM2.5 Pollutants (Case Study: Tehran City), Environmental Health Engineering, Year 5, Issue 3. (In Persian).
10.29252/jehe.5.3.197
41- Nateghi, Nohegar, Ehsani, Bazrafshan, Saeedeh; Ahmad, Amirhoshang, Umm al-Baneen, 2017, Investigation of vegetation changes based on plant indices using remote sensing, rangeland and desert, Volume 24, Number 4, 790-778. (In Persian) . https://doi.org/10.22092/ijrdr.2017.114889
42- Neinavaz, E., Skidmore, A. K., Darvishzadeh, R. ,2020, Effects of prediction accuracy of the proportion of vegetation cover on land surface emissivity and temperature using the NDVI threshold method. International Journal of Applied Earth Observation and Geoinformation, 70-85, 101984. https://doi.org/10.1016/j.jag.2019.101984
43- Pahlavanzadeh, Janalipour, Abbaszadeh Tehrani, Noushin, Milad, Nadia, Farinaz, Fahranj, 2019, Improving the accuracy of land surface temperature extraction from Landsat satellite thermal bands using linear regression and ground observations, Geography and Environmental Planning, Volume 30, Issue 3, 59-78. (In Persian). 10.22108/GEP.2019.118336.1179
44- Pirestani, Shafaghi, Mohammad Reza, Mehdi, 2009, Investigating the environmental effects of dam construction, New Perspectives in Human Geography, Year 1, Issue 3, 2009, 39-50. (In Persian).
https://sid.ir/paper/177139/fa
45- Sadeghinia, Alijani, Ziaian, Khaledi, Alireza, Bahloul, Parviz, Shahriar, 2012, Application of spatial autocorrelation techniques in heat island analysis of Tehran city. Applied Research in Geographical Sciences, Year 13, Issue 30, 67-90. (In Persian). http://jgs.khu.ac.ir/article-1-1623-en.html
46- Salehi, Negahban, Jafarian Dehkordi, Ismail, Saeed, Zohreh, 2010, Study and investigation of the effects of urban development on the environment, Sepehr Geographic Information, Volume 19, Number 76, 28-33. (In Persian).20.1001.1.25883860.1389.19.76.5.3
47- Siqi, J., & Yuhong, W,2020, Effects of land use and land cover pattern on urban temperature variations: A case study in Hong Kong. Urban Climate, 20-34, 100693. https://doi.org/10.1016/j.uclim.2020.100693
48- Sobrino, J. A., Jiménez-Muñoz, J. C., Paolini, L,2004, Land surface temperature retrieval from Landsat TM 5. Remote Sensing of Environment, 90(4), 434–440.
https://doi.org/10.1016/j.rse.2004.02.003
49- Vanhellemont, Q ,2020, Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS. ISPRS Journal of Photogrammetry and Remote Sensing, 155-166, 390-402. https://doi.org/10.1016/j.isprsjprs.2020.06.007
50- Xue, J., Su, B, 2017, Significant remote sensing vegetation indices: A review of developments and applications. Journal of Sensors, 2017, 1–17. https://doi.org/10.1155/2017/1353691
51- Zandi, Salmani Moghadam, Rudaki, Rahman, Mohammad, Zohreh, 2013, Measuring the autocorrelation of land surface temperature with land use. Study sample: Isfahan city, Geography and Environmental Planning, Year 34, Serial 89, No. 1, 61-76. (In Persian).
10.22108/GEP.2022.132524.1488
52- Zareie, S., Khosravi, H., & Nasiri, A, 2016, Derivation of land surface temperature from Landsat Thematic Mapper (TM) sensor data and analyzing relation between land use changes and surface temperature. Solid Earth Discuss, 1-15. DOI:10.5194/se-2016-22
