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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gesj</journal-id><journal-title-group><journal-title xml:lang="en">GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</journal-title><trans-title-group xml:lang="ru"><trans-title>GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2071-9388</issn><issn pub-type="epub">2542-1565</issn><publisher><publisher-name>Russian Geographical Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24057/2071-9388-2020-62</article-id><article-id custom-type="elpub" pub-id-type="custom">gesj-1543</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH PAPER</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Land Use/Land Cover Change With Impact On Land Surface Temperature: A Case Study Of Mkda Planning Area, West Bengal, India</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Fatema</surname><given-names>Samrin</given-names></name></name-alternatives><bio xml:lang="en"><p>Midnapore, 721102</p></bio><email xlink:type="simple">asamrin1@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Chakrabarty</surname><given-names>Dr. Abhisek</given-names></name></name-alternatives><bio xml:lang="en"><p>Midnapore, 721102</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Vidyasgar University, Remote Sensing &amp; GIS Department</institution><country>India</country></aff><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>31</day><month>12</month><year>2020</year></pub-date><volume>13</volume><issue>4</issue><fpage>43</fpage><lpage>53</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Fatema S., Chakrabarty D., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Fatema S., Chakrabarty D.</copyright-holder><copyright-holder xml:lang="en">Fatema S., Chakrabarty D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ges.rgo.ru/jour/article/view/1543">https://ges.rgo.ru/jour/article/view/1543</self-uri><abstract><p>The type of surface influences the temperature of a surface. If it is made of concrete or another hard material, the temperature will be higher. Hence it is essential to study the land surface temperature (LST) of urban areas. The LST is an important parameter in the estimation of radiation budgets and heat balance and is a controlling factor of dynamic climate changes. In this work, we made an effort to identify the LST of the Midnapore Kharagpur Development Authority planning region. Multi-temporal images acquired by Landsat 7 ETM+, Landsat 5 TM and Landsat 8 using OLI sensors on 3 May 2001, 7 May 2011 and 29 May 2019, respectively, were corrected for radiometric and geometric errors and processed to extract LULC classes and LST. Thermal remote sensing can be used to monitor the temperature and local climate of urban areas. This study has shown that the temperature varies across the surface according to land use. It was found that the urbanized area increased from 6.79% (40.39 sq. km) to 11.6% (69.2 sq. km) between 2001 and 2011 and from 11.6% (69.2 sq. km) to 17.22 % (102.79 sq. km) between 2011 and 2019. The LST study has shown that there has been a tremendous change in the spatial pattern of the temperature between 2001 and 2019. Whereas in 2001 the highest temperature did not exceed 34°C, by 2019 it had increased by nearly 8°C, reaching 41.29°C. So, the findings of this study are significant.</p></abstract><kwd-group xml:lang="en"><kwd>LULC</kwd><kwd>Change detection</kwd><kwd>LST</kwd><kwd>Thermal Remote sensing</kwd><kwd>GIS</kwd></kwd-group><funding-group><funding-statement xml:lang="en">The authors would like to thank the Department of Remote Sensing and GIS, Vidyasagar University for providing the necessary infrastructural facility to carry out the research.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Ahmad A. and Quegan S. (2016). Analysis of Maximum Likelihood Classification on Multispectral Data, (January 2012).</mixed-citation><mixed-citation xml:lang="en">Ahmad A. and Quegan S. (2016). Analysis of Maximum Likelihood Classification on Multispectral Data, (January 2012).</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Alavipanah S.K. et al. (2007). Land Surface Temperature in the Yardang Region of Lut Desert (Iran) Based on Field Measurements and Landsat Thermal Data, Journal Agriculture Science Technology, 9, 287-303.</mixed-citation><mixed-citation xml:lang="en">Alavipanah S.K. et al. (2007). Land Surface Temperature in the Yardang Region of Lut Desert (Iran) Based on Field Measurements and Landsat Thermal Data, Journal Agriculture Science Technology, 9, 287-303.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Amiri R. et al. (2009). Spatial-temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/ cover in the Tabriz urban area, Iran, Remote Sensing of Environment. Elsevier Inc., 113(12), 2606-2617, DOI: 10.1016/j.rse.2009.07.021.</mixed-citation><mixed-citation xml:lang="en">Amiri R. et al. (2009). Spatial-temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/ cover in the Tabriz urban area, Iran, Remote Sensing of Environment. Elsevier Inc., 113(12), 2606-2617, DOI: 10.1016/j.rse.2009.07.021.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Anandababu D., Purushothaman B. M. and Dr. S. Suresh Babu (2018). Estimation of Land Surface Temperature using LANDSAT 8 Data, INTERNATIONAL JOURNAL OF ADVANCE RESEARCH, IDEAS AND INNOVATIONS IN TECHNOLOGY, 4(2), 177-186.</mixed-citation><mixed-citation xml:lang="en">Anandababu D., Purushothaman B. M. and Dr. S. Suresh Babu (2018). Estimation of Land Surface Temperature using LANDSAT 8 Data, INTERNATIONAL JOURNAL OF ADVANCE RESEARCH, IDEAS AND INNOVATIONS IN TECHNOLOGY, 4(2), 177-186.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Baba I.I. (2016). ESTIMATION OF LAND SURFACE TEMPERATURE OF KADUNA METROPOLIS, NIGERIA USING LANDSAT IMAGES, 11(3), 36-42.</mixed-citation><mixed-citation xml:lang="en">Baba I.I. (2016). ESTIMATION OF LAND SURFACE TEMPERATURE OF KADUNA METROPOLIS, NIGERIA USING LANDSAT IMAGES, 11(3), 36-42.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Bokaie M. et al. (2016). Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran, Sustainable Cities and Society. Elsevier B.V., 23, 94-104, DOI: 10.1016/j.scs.2016.03.009.</mixed-citation><mixed-citation xml:lang="en">Bokaie M. et al. (2016). Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran, Sustainable Cities and Society. Elsevier B.V., 23, 94-104, DOI: 10.1016/j.scs.2016.03.009.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Buyadi S.N.A., Mohd W.M.N.W. and Misni A. (2013). Impact of Land Use Changes on the Surface Temperature Distribution of Area Surrounding the National Botanic Garden, Shah Alam, Procedia – Social and Behavioral Sciences. Elsevier B.V., 101, 516-525, DOI: 10.1016/j.sbspro.2013.07.225.</mixed-citation><mixed-citation xml:lang="en">Buyadi S.N.A., Mohd W.M.N.W. and Misni A. (2013). Impact of Land Use Changes on the Surface Temperature Distribution of Area Surrounding the National Botanic Garden, Shah Alam, Procedia – Social and Behavioral Sciences. Elsevier B.V., 101, 516-525, DOI: 10.1016/j.sbspro.2013.07.225.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Chen S.P., Zeng S. and Xie C.G. (2000). Remote sensing and GIS for urban growth analysis in China, Photogrammetric Engineering and Remote Sensing, 66(5), 593-598, DOI: 10.1007/978-94-007-4698-5.</mixed-citation><mixed-citation xml:lang="en">Chen S.P., Zeng S. and Xie C.G. (2000). Remote sensing and GIS for urban growth analysis in China, Photogrammetric Engineering and Remote Sensing, 66(5), 593-598, DOI: 10.1007/978-94-007-4698-5.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Congalton R.G. (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data, 46 (October 1990), 35-46.</mixed-citation><mixed-citation xml:lang="en">Congalton R.G. (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data, 46 (October 1990), 35-46.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Congalton R.G. (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data, 46(October 1990), 35-46.</mixed-citation><mixed-citation xml:lang="en">Congalton R.G. (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data, 46(October 1990), 35-46.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Fatema S. and Chakrabarty A. (2020). Accident Hotspot Identification on the Midnapore Kharagpur Development Authority Planning Area, (2), 169-174, DOI: 10.35940/ijrte.B3351.079220.</mixed-citation><mixed-citation xml:lang="en">Fatema S. and Chakrabarty A. (2020). Accident Hotspot Identification on the Midnapore Kharagpur Development Authority Planning Area, (2), 169-174, DOI: 10.35940/ijrte.B3351.079220.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Fu P. and Weng Q. (2016). A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery, Remote Sensing of Environment. Elsevier Inc., 175, 205-214, DOI: 10.1016/j.rse.2015.12.040.</mixed-citation><mixed-citation xml:lang="en">Fu P. and Weng Q. (2016). A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery, Remote Sensing of Environment. Elsevier Inc., 175, 205-214, DOI: 10.1016/j.rse.2015.12.040.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Ghulam A. and Louis S. (2010). Calculating surface temperature using Landsat thermal imagery, 1-9.</mixed-citation><mixed-citation xml:lang="en">Ghulam A. and Louis S. (2010). Calculating surface temperature using Landsat thermal imagery, 1-9.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Guha S., Govil H. and Diwan P. (2020). Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets, 2020(1).</mixed-citation><mixed-citation xml:lang="en">Guha S., Govil H. and Diwan P. (2020). Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets, 2020(1).</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Hussain M. et al. (2013). ISPRS Journal of Photogrammetry and Remote Sensing Change detection from remotely sensed images: From pixel-based to object-based approaches, ISPRS Journal of Photogrammetry and Remote Sensing. International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS), 80, 91-106, DOI: 10.1016/j.isprsjprs.2013.03.006.</mixed-citation><mixed-citation xml:lang="en">Hussain M. et al. (2013). ISPRS Journal of Photogrammetry and Remote Sensing Change detection from remotely sensed images: From pixel-based to object-based approaches, ISPRS Journal of Photogrammetry and Remote Sensing. International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS), 80, 91-106, DOI: 10.1016/j.isprsjprs.2013.03.006.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">James M.M. and Mundia C.N. (2014). Dynamism of land use changes on surface temperature in Kenya: a case study of Nairobi City. International Journal of Science and Research, 3(4), 38-41.</mixed-citation><mixed-citation xml:lang="en">James M.M. and Mundia C.N. (2014). Dynamism of land use changes on surface temperature in Kenya: a case study of Nairobi City. International Journal of Science and Research, 3(4), 38-41.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Jiang J. and Tian G. (2010). Analysis of the impact of Land use/Land cover change on Land Surface Temperature with Remote Sensing, Procedia Environmental Sciences, 2(5), 571-575, DOI: 10.1016/j.proenv.2010.10.062.</mixed-citation><mixed-citation xml:lang="en">Jiang J. and Tian G. (2010). Analysis of the impact of Land use/Land cover change on Land Surface Temperature with Remote Sensing, Procedia Environmental Sciences, 2(5), 571-575, DOI: 10.1016/j.proenv.2010.10.062.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Kayet N. et al. (2016). Spatial impact of land use / land cover change on surface temperature distribution in Saranda Forest, Jharkhand, Modeling Earth Systems and Environment. Springer International Publishing, 2(3), 1-10, DOI: 10.1007/s40808-016-0159-x.</mixed-citation><mixed-citation xml:lang="en">Kayet N. et al. (2016). Spatial impact of land use / land cover change on surface temperature distribution in Saranda Forest, Jharkhand, Modeling Earth Systems and Environment. Springer International Publishing, 2(3), 1-10, DOI: 10.1007/s40808-016-0159-x.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Kustas W. and Anderson M. (2009). Agricultural and Forest Meteorology Advances in thermal infrared remote sensing for land surface modeling, 149, 2071-2081, DOI: 10.1016/j.agrformet.2009.05.016.</mixed-citation><mixed-citation xml:lang="en">Kustas W. and Anderson M. (2009). Agricultural and Forest Meteorology Advances in thermal infrared remote sensing for land surface modeling, 149, 2071-2081, DOI: 10.1016/j.agrformet.2009.05.016.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Latif S. (2014). Land Surface Temperature Retrival of Landsat-8 Data Using Split Window Algorithm – A Case Study of Ranchi District, 2(4), 3840-3849.</mixed-citation><mixed-citation xml:lang="en">Latif S. (2014). Land Surface Temperature Retrival of Landsat-8 Data Using Split Window Algorithm – A Case Study of Ranchi District, 2(4), 3840-3849.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Li S. and Jiang G.M. (2018). Land Surface Temperature Retrieval from Landsat-8 Data with the Generalized Split-Window Algorithm, IEEE Access. IEEE, 6, 18149-18162, DOI: 10.1109/ACCESS.2018.2818741.</mixed-citation><mixed-citation xml:lang="en">Li S. and Jiang G.M. (2018). Land Surface Temperature Retrieval from Landsat-8 Data with the Generalized Split-Window Algorithm, IEEE Access. IEEE, 6, 18149-18162, DOI: 10.1109/ACCESS.2018.2818741.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Lillesand T., Kiefer R.W. and Chipman J. (2015). Remote sensing and image interpretation. John Wiley &amp; Sons.</mixed-citation><mixed-citation xml:lang="en">Lillesand T., Kiefer R.W. and Chipman J. (2015). Remote sensing and image interpretation. John Wiley &amp; Sons.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Lv Z. Q. and Zhou Q.G. (2011). Utility of Landsat image in the study of land cover and land surface temperature change, Procedia Environmental Sciences, 10(PART B), 1287-1292, DOI: 10.1016/j.proenv.2011.09.206.</mixed-citation><mixed-citation xml:lang="en">Lv Z. Q. and Zhou Q.G. (2011). Utility of Landsat image in the study of land cover and land surface temperature change, Procedia Environmental Sciences, 10(PART B), 1287-1292, DOI: 10.1016/j.proenv.2011.09.206.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Mallick J., Kant Y. and Bharath B.D. (2008). Estimation of land surface temperature over Delhi using Landsat-7 ETM +, (August).</mixed-citation><mixed-citation xml:lang="en">Mallick J., Kant Y. and Bharath B.D. (2008). Estimation of land surface temperature over Delhi using Landsat-7 ETM +, (August).</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Nguyen Q.K., et al. (2019). Land Surface Temperature Dynamics In Dry Season 2015-2016 According To Landsat 8 Data In The South-East Region of Vietnam, Geography, Environment, Sustainability, 12(1), 75-87, DOI: 10.24057/2071-9388-2018-06.</mixed-citation><mixed-citation xml:lang="en">Nguyen Q.K., et al. (2019). Land Surface Temperature Dynamics In Dry Season 2015-2016 According To Landsat 8 Data In The South-East Region of Vietnam, Geography, Environment, Sustainability, 12(1), 75-87, DOI: 10.24057/2071-9388-2018-06.</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Renssen H., et al. (2005). Simulating the Holocene climate evolution at northern high latitudes using a coupled atmosphere-sea iceocean-vegetation model, 23-43, DOI: 10.1007/s00382-004-0485-y.</mixed-citation><mixed-citation xml:lang="en">Renssen H., et al. (2005). Simulating the Holocene climate evolution at northern high latitudes using a coupled atmosphere-sea iceocean-vegetation model, 23-43, DOI: 10.1007/s00382-004-0485-y.</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Reuter D.C., et al. (2015). The thermal infrared sensor (tirs) on landsat 8: Design overview and pre-launch characterization, Remote Sensing, 7(1), 1135-1153, DOI: 10.3390/rs70101135.</mixed-citation><mixed-citation xml:lang="en">Reuter D.C., et al. (2015). The thermal infrared sensor (tirs) on landsat 8: Design overview and pre-launch characterization, Remote Sensing, 7(1), 1135-1153, DOI: 10.3390/rs70101135.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Rozenstein O., et al. (2014). Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm, 5768-5780, DOI: 10.3390/s140405768.</mixed-citation><mixed-citation xml:lang="en">Rozenstein O., et al. (2014). Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm, 5768-5780, DOI: 10.3390/s140405768.</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Saradjian M.R. and Jouybari-Moghaddam Y. (2019). Land Surface Emissivity and temperature retrieval from Landsat-8 satellite data using Support Vector Regression and weighted least squares approach, Remote Sensing Letters. Taylor &amp; Francis, 10(5), 439-448, DOI: 10.1080/2150704X.2019.1569273.</mixed-citation><mixed-citation xml:lang="en">Saradjian M.R. and Jouybari-Moghaddam Y. (2019). Land Surface Emissivity and temperature retrieval from Landsat-8 satellite data using Support Vector Regression and weighted least squares approach, Remote Sensing Letters. Taylor &amp; Francis, 10(5), 439-448, DOI: 10.1080/2150704X.2019.1569273.</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Satiprasad S. (2013). Monitoring urban Land use land cover change by Multi-Temporal remote sensing information in Howrah city, India, International Research Journal of Earth Sciences, 1(5), 1-6.</mixed-citation><mixed-citation xml:lang="en">Satiprasad S. (2013). Monitoring urban Land use land cover change by Multi-Temporal remote sensing information in Howrah city, India, International Research Journal of Earth Sciences, 1(5), 1-6.</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Southworth J. (2010). An assessment of Landsat TM band 6 thermal data for analysing land cover in tropical dry forest regions, 1161, DOI: 10.1080/0143116031000139917.</mixed-citation><mixed-citation xml:lang="en">Southworth J. (2010). An assessment of Landsat TM band 6 thermal data for analysing land cover in tropical dry forest regions, 1161, DOI: 10.1080/0143116031000139917.</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">USGS (2001). Landsat 7 Science Data Users handbooks.</mixed-citation><mixed-citation xml:lang="en">USGS (2001). Landsat 7 Science Data Users handbooks.</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Wan Z. and Li Z. L. (2010). Radiance – based validation of the V5 MODIS land – surface temperature product, 1161, DOI: 10.1080/01431160802036565.</mixed-citation><mixed-citation xml:lang="en">Wan Z. and Li Z. L. (2010). Radiance – based validation of the V5 MODIS land – surface temperature product, 1161, DOI: 10.1080/01431160802036565.</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">White-Newsome J.L., et al. (2013). Measurements: A Public Health Perspective, 121(8), 925-931.</mixed-citation><mixed-citation xml:lang="en">White-Newsome J.L., et al. (2013). Measurements: A Public Health Perspective, 121(8), 925-931.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
