Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Abbas I.I., 2008. Use of satellite remote sensing and geographic information systems to monitor land degradation along Ondo Coastal Zone (Nigeria). Balwois, Orid, Macedonia 27: 1–13. AbbasI.I. 2008 Use of satellite remote sensing and geographic information systems to monitor land degradation along Ondo Coastal Zone (Nigeria) Balwois, Orid, Macedonia 27 1 13 Search in Google Scholar

Abbas I.I., Fasona M.J., 2012. Remote sensing and geographic information techniques: Veritable tools for land degradation assessment. American Journal of Geographic Information System 1(1): 1–6. AbbasI.I. FasonaM.J. 2012 Remote sensing and geographic information techniques: Veritable tools for land degradation assessment American Journal of Geographic Information System 1 1 1 6 10.5923/j.ajgis.20120101.01 Search in Google Scholar

Aboelnour M., Engel B., 2018. Application of remote sensing techniques and geographic information systems to analyze land surface temperature in response to land use/land cover change in Greater Cairo Region, Egypt. Journal of Geographic Information System 10: 57–88. DOI 10.4236/jgis.2018.101003. AboelnourM. EngelB. 2018 Application of remote sensing techniques and geographic information systems to analyze land surface temperature in response to land use/land cover change in Greater Cairo Region, Egypt Journal of Geographic Information System 10 57 88 10.4236/jgis.2018.101003 Open DOISearch in Google Scholar

Adegboye K., 2013. Fashola highlights importance of greenery at 2013 tree planting campaign—Vanguard News. Vanguard Newspaper. Online: https://www.vanguard-ngr.com/2013/07/fashola-highlights-importance-of-greenery-at-2013-tree-planting-campaign/ (accessed 20 August 2020). AdegboyeK. 2013 Fashola highlights importance of greenery at 2013 tree planting campaign—Vanguard News Vanguard Newspaper. Online: https://www.vanguard-ngr.com/2013/07/fashola-highlights-importance-of-greenery-at-2013-tree-planting-campaign/ (accessed 20 August 2020). Search in Google Scholar

Adegun O., Odunuga S., Appia Y., 2015. Dynamics in the landscape and ecological services in system I drainage area of Lagos. Ghana Journal of Geography 7(1): 75–96. AdegunO. OdunugaS. AppiaY. 2015 Dynamics in the landscape and ecological services in system I drainage area of Lagos Ghana Journal of Geography 7 1 75 96 Search in Google Scholar

Ajibola M., Adeleke A.M., Ogungbemi A., 2016. An assessment of wetland loss in Lagos Metropolis, Nigeria. Developing Country Studies 6(7): 1–7. AjibolaM. AdelekeA.M. OgungbemiA. 2016 An assessment of wetland loss in Lagos Metropolis, Nigeria Developing Country Studies 6 7 1 7 Search in Google Scholar

Ajibola M., Adewale B., Ijasan K., 2012. Effects of urbanisation on Lagos wetlands. International Journal of Business and Social Science 3(17): 310–318. AjibolaM. AdewaleB. IjasanK. 2012 Effects of urbanisation on Lagos wetlands International Journal of Business and Social Science 3 17 310 318 Search in Google Scholar

Akpootu D.O., Iliyasu M.I., Mustapha W., Aruna S., Yusuf S.O., 2017. The influence of meteorological parameters on atmospheric visibility over Ikeja, Nigeria. Archives of Current Research International 9(3): 1–12, Article no. ACRI.36010 AkpootuD.O. IliyasuM.I. MustaphaW. ArunaS. YusufS.O. 2017 The influence of meteorological parameters on atmospheric visibility over Ikeja, Nigeria Archives of Current Research International 9 3 1 12 Article no. ACRI.36010 10.9734/ACRI/2017/36010 Search in Google Scholar

Anderson J.R., 1971. Land use classification schemes used in selected recent geographic applications of remote sensing. Photogrammetric Engineering 37(4): 379–387. AndersonJ.R. 1971 Land use classification schemes used in selected recent geographic applications of remote sensing Photogrammetric Engineering 37 4 379 387 Search in Google Scholar

Aribisala J.O., Ogundipe O.M., Akinkurolere O.O., 2016. The study of climate change. British Journal of Applied Science and Technology 13(6): 1–7. AribisalaJ.O. OgundipeO.M. AkinkurolereO.O. 2016 The study of climate change British Journal of Applied Science and Technology 13 6 1 7 10.9734/BJAST/2016/22389 Search in Google Scholar

Boegh E., Soegaard H., Broge N., Hasager C.B., Jensen N.O., Schelde K., et al., 2002. Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sensing of Environment 81: 179–193. BoeghE. SoegaardH. BrogeN. HasagerC.B. JensenN.O. ScheldeK. 2002 Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture Remote Sensing of Environment 81 179 193 10.1016/S0034-4257(01)00342-X Search in Google Scholar

Bolstad P., Lillesand T.M., 1991. Rapid maximum likelihood classification. Photogrammetric Engineering and Remote Sensing 57(1): 67–74. BolstadP. LillesandT.M. 1991 Rapid maximum likelihood classification Photogrammetric Engineering and Remote Sensing 57 1 67 74 Search in Google Scholar

Brendel A.S., Ferrelli F., Piccolo M.C., Perillo G.M.E., 2019. Assessment of the effectiveness of supervised and unsupervised methods: Maximizing land-cover classification accuracy with spectral indices data. Journal of Applied Remote Sensing 13(1): 014503. DOI 10.1117/1.JRS.13.014503. BrendelA.S. FerrelliF. PiccoloM.C. PerilloG.M.E. 2019 Assessment of the effectiveness of supervised and unsupervised methods: Maximizing land-cover classification accuracy with spectral indices data Journal of Applied Remote Sensing 13 1 014503 10.1117/1.JRS.13.014503 Open DOISearch in Google Scholar

Butuc B.R., Moldovean G., 2011. Environmental impact scenario of an azimuthal tracked PV platform based on CO2 emissions reduction. Environmental Engineering and Management Journal 10: 271–276. ButucB.R. MoldoveanG. 2011 Environmental impact scenario of an azimuthal tracked PV platform based on CO2 emissions reduction Environmental Engineering and Management Journal 10 271 276 10.30638/eemj.2011.040 Search in Google Scholar

Chen P., Fedosejevs G., Tiscareño-LóPez M., Arnold, J. G., 2006b. Assessment of MODIS-EVI, MODIS-NDVI and vegetation-NDVI composite data using agricultural measurements: An example at corn fields in Western Mexico. Environmental Monitoring and Assessment 119: 69–82. DOI 10.1007/s10661-005-9006-7. ChenP. FedosejevsG. Tiscareño-LóPezM. ArnoldJ. G. 2006b Assessment of MODIS-EVI, MODIS-NDVI and vegetation-NDVI composite data using agricultural measurements: An example at corn fields in Western Mexico Environmental Monitoring and Assessment 119 69 82 10.1007/s10661-005-9006-716362566 Open DOISearch in Google Scholar

Chen X-L., Zhao H-M., Li P.-X., Yin Z.-Y., 2006a. Remote sensing image based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment 104: 133–146. ChenX-L. ZhaoH-M. LiP.-X. YinZ.-Y. 2006a Remote sensing image based analysis of the relationship between urban heat island and land use/cover changes Remote Sensing of Environment 104 133 146 10.1016/j.rse.2005.11.016 Search in Google Scholar

David A.R., 2008. A re-interpretation of Landsat TM data on Chernobyl. International Journal of Remote Sensing 10(8): 1423–1427. DavidA.R. 2008 A re-interpretation of Landsat TM data on Chernobyl International Journal of Remote Sensing 10 8 1423 1427 10.1080/01431168908903976 Search in Google Scholar

Deng Y., Wang S., Bai X., Tian Y., Wu L., Xiao J., Chen F., Qian Q., 2018. Relationship among land surface temperature and LUCC, NDVI in typical karst area. Scientific Reports 8(1): 1–12. DOI 10.1038/s41598-017-19088-x. DengY. WangS. BaiX. TianY. WuL. XiaoJ. ChenF. QianQ. 2018 Relationship among land surface temperature and LUCC, NDVI in typical karst area Scientific Reports 8 1 1 12 10.1038/s41598-017-19088-x Open DOISearch in Google Scholar

Dewan A.M., Corner, R.J., 2012. The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity. In: IGARSS, Munich, Germany, 22–27 July 2012; pp. 6337–6339. DewanA.M. CornerR.J. 2012 The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity In: IGARSS Munich, Germany 22–27 July 2012 6337 6339 10.1109/IGARSS.2012.6352709 Search in Google Scholar

Farina A., 2012. Exploring the relationship between land surface temperature and vegetation abundance for urban heat island mitigation in Seville, Spain. M.Sc. Thesis, Lund University. FarinaA. 2012 Exploring the relationship between land surface temperature and vegetation abundance for urban heat island mitigation in Seville, Spain M.Sc. Thesis, Lund University Search in Google Scholar

Fasona M., Omojola A., Odunuga S., Tejuoso O., Amogu N., 2005. An appraisal of sustainable water management solutions for large cities in developing countries through GIS: The case of Lagos, Nigeria. In: Proceeding of the Symposium S2 Held during the 7th IAHS Scientific Assembly, Foz do Iguacu, Brazil, 3–9 April 2005; pp. 49–57. FasonaM. OmojolaA. OdunugaS. TejuosoO. AmoguN. 2005 An appraisal of sustainable water management solutions for large cities in developing countries through GIS: The case of Lagos, Nigeria In: Proceeding of the Symposium S2 Held during the 7th IAHS Scientific Assembly Foz do Iguacu, Brazil 3–9 April 2005 49 57 Search in Google Scholar

Ferreira L.S., Duarte D.H.S., 2019. Exploring the relationship between urban form, land surface temperature and vegetation indices in a subtropical megacity. Urban Climate 27: 105–123. FerreiraL.S. DuarteD.H.S. 2019 Exploring the relationship between urban form, land surface temperature and vegetation indices in a subtropical megacity Urban Climate 27 105 123 10.1016/j.uclim.2018.11.002 Search in Google Scholar

Ferrelli F., Bustos M., Huamantinco-Cisneros M., Piccolo M., 2015. Utilization of satellite images to study the thermal distribution in different soil covers in Bahia Blanca city (Argentina). Revista de Teledetección 44: 31–42. FerrelliF. BustosM. Huamantinco-CisnerosM. PiccoloM. 2015 Utilization of satellite images to study the thermal distribution in different soil covers in Bahia Blanca city (Argentina) Revista de Teledetección 44 31 42 10.4995/raet.2015.4018 Search in Google Scholar

Ferrelli F., Cisneros M.A.H., Delgado A.L., Piccolo M.C., 2018. Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina. Documents d’Analisi Geografica 2018, 64/1: 25–47. DOI 10.5565/rev/dag.355 FerrelliF. CisnerosM.A.H. DelgadoA.L. PiccoloM.C. 2018 Spatial and temporal analysis of the LST-NDVI relationship for the study of land cover changes and their contribution to urban planning in Monte Hermoso, Argentina Documents d’Analisi Geografica 2018 64 1 25 47 10.5565/rev/dag.355 Open DOISearch in Google Scholar

Gao X., Huete A.R., Didan K., 2003. Multisensor comparisons and validation of MODIS vegetation indices at the semiarid Jornada experimental range. IEEE Transactions on Geoscience and Remote Sensing 41: 2368–2381. GaoX. HueteA.R. DidanK. 2003 Multisensor comparisons and validation of MODIS vegetation indices at the semiarid Jornada experimental range IEEE Transactions on Geoscience and Remote Sensing 41 2368 2381 10.1109/TGRS.2003.813840 Search in Google Scholar

Gao X., Huete A.R., Ni W., Miura T., 2000. Optical–biophysical relationships of vegetation spectra without background contamination. Remote Sensing of Environment, 74: 609–620. GaoX. HueteA.R. NiW. MiuraT. 2000 Optical–biophysical relationships of vegetation spectra without background contamination Remote Sensing of Environment 74 609 620 10.1016/S0034-4257(00)00150-4 Search in Google Scholar

Ghulam A., 2010. Calculating surface temperature using landsat thermal imagery. Online: https://serc.carleton.edu/files/NAGTWorkshops/gis/activities2/student_handout_calculating_te.pdf (accessed 25 March 2016). GhulamA. 2010 Calculating surface temperature using landsat thermal imagery Online: https://serc.carleton.edu/files/NAGTWorkshops/gis/activities2/student_handout_calculating_te.pdf (accessed 25 March 2016). Search in Google Scholar

Gilbert R.O., 1987. Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold Company Inc., New York. GilbertR.O. 1987 Statistical methods for environmental pollution monitoring Van Nostrand Reinhold Company Inc. New York Search in Google Scholar

Gocic M., Trajkovic S., 2013. Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia. Global and Planetary Change 100: 172–182. GocicM. TrajkovicS. 2013 Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia Global and Planetary Change 100 172 182 10.1016/j.gloplacha.2012.10.014 Search in Google Scholar

Green E., Mumby P., Edwards A., Clark C., 1996. A review of remote sensing for the assessment and management of tropical coastal resources. Coastal Management 24(1): 1–40. GreenE. MumbyP. EdwardsA. ClarkC. 1996 A review of remote sensing for the assessment and management of tropical coastal resources Coastal Management 24 1 1 40 10.1080/08920759609362279 Search in Google Scholar

Guha S., Govil H., Dey A., Gill N., 2020. 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. DOI 10.1080/00167223.2020.1752272. GuhaS. GovilH. DeyA. GillN. 2020 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 10.1080/00167223.2020.1752272 Open DOISearch in Google Scholar

Gutman G., Huang C., Chander G., Noojipady P., Masek J. G., 2013. Assessment of the NASA-USGS global land survey (GLS) datasets. Remote Sensing of Environment 134: 249–265. GutmanG. HuangC. ChanderG. NoojipadyP. MasekJ. G. 2013 Assessment of the NASA-USGS global land survey (GLS) datasets Remote Sensing of Environment 134 249 265 10.1016/j.rse.2013.02.026 Search in Google Scholar

Hamed K.H., 2008. Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis. Journal of Hydrology 349(3–4): 350–363. DOI 10.1016/j.jhydrol.2007.11.009 HamedK.H. 2008 Trend detection in hydrologic data: The Mann–Kendall trend test under the scaling hypothesis Journal of Hydrology 349 3–4 350 363 10.1016/j.jhydrol.2007.11.009 Open DOISearch in Google Scholar

Hamoodi M.N., Corner R., Dewan A., 2019. Thermophysical behaviour of LULC surfaces and their effect on the urban thermal environment. Journal of Spatial Science 64(1): 111–130. DOI 10.1080/14498596.2017.1386598 HamoodiM.N. CornerR. DewanA. 2019 Thermophysical behaviour of LULC surfaces and their effect on the urban thermal environment Journal of Spatial Science 64 1 111 130 10.1080/14498596.2017.1386598 Open DOISearch in Google Scholar

Hasmadi M., Pakhriazad H.Z., Shahrin M.F., 2009. Evaluating supervised and unsupervised techniques for land cover mapping using remote sensing data. Geografia: Malaysian Journal of Society and Space 5(1): 1–10. HasmadiM. PakhriazadH.Z. ShahrinM.F. 2009 Evaluating supervised and unsupervised techniques for land cover mapping using remote sensing data Geografia: Malaysian Journal of Society and Space 5 1 1 10 Search in Google Scholar

Hoek van Dijke A.J., Mallick K., Teuling A.J., Schlerf M., Machwitz M., Hassler S.K., Blume T., Herold M., 2019. Does the normalized difference vegetation index explain spatial and temporal variability in sap velocity in temperate forest ecosystems? Hydrology and Earth System Sciences 23: 2077–2091. DOI 10.5194/hess-23-2077-2019. Hoek van DijkeA.J. MallickK. TeulingA.J. SchlerfM. MachwitzM. HasslerS.K. BlumeT. HeroldM. 2019 Does the normalized difference vegetation index explain spatial and temporal variability in sap velocity in temperate forest ecosystems? Hydrology and Earth System Sciences 23 2077 2091 10.5194/hess-23-2077-2019 Open DOISearch in Google Scholar

Hou G.L., Zhang H.Y., Wang Y.Q., Qiao Z.H., Zhang, Z.X., 2010. Retrieval and spatial distribution of land surface temperature in the middle part of Jilin province based on MODIS data. Scientia Geographica Sinica 30, 421–427. HouG.L. ZhangH.Y. WangY.Q. QiaoZ.H. ZhangZ.X. 2010 Retrieval and spatial distribution of land surface temperature in the middle part of Jilin province based on MODIS data Scientia Geographica Sinica 30 421 427 Search in Google Scholar

Huete A.R., 1988. A soil adjusted vegetation index (SAVI). Remote Sensing of Environment 25, 295–309. HueteA.R. 1988 A soil adjusted vegetation index (SAVI) Remote Sensing of Environment 25 295 309 10.1016/0034-4257(88)90106-X Search in Google Scholar

Huete A.R., Didan K., Miura T., Rodriguez E.P., Gao X., Ferreira L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS Vegetation indices’. Remote Sensing of Environment 83: 195–213. HueteA.R. DidanK. MiuraT. RodriguezE.P. GaoX. FerreiraL.G. 2002 Overview of the radiometric and biophysical performance of the MODIS Vegetation indices’ Remote Sensing of Environment 83 195 213 10.1016/S0034-4257(02)00096-2 Search in Google Scholar

Huete A.R., Justice C., Van Leeuwen W., 1999. MODIS vegetation index (MOD13). Algorithm Theoretical Basis Document. Version 3. HueteA.R. JusticeC. Van LeeuwenW. 1999 MODIS vegetation index (MOD13) Algorithm Theoretical Basis Document. Version 3. Search in Google Scholar

James G.K., Adegoke J.O., Saba E., Nwilo P., Akinyede, J., 2007. Satellite-based assessment of the extent and changes in the mangrove ecosystem of the Niger Delta. Marine Geodesy 30(3), 249–267. JamesG.K. AdegokeJ.O. SabaE. NwiloP. AkinyedeJ. 2007 Satellite-based assessment of the extent and changes in the mangrove ecosystem of the Niger Delta Marine Geodesy 30 3 249 267 10.1080/01490410701438224 Search in Google Scholar

Jeevalakshmi D., Narayana Reddy S., Manikiam B., 2017. Land surface temperature retrieval from Landsat data using Emissivity Estimation. International Journal of Applied Engineering Research 12(20): 9679–9687. JeevalakshmiD. Narayana ReddyS. ManikiamB. 2017 Land surface temperature retrieval from Landsat data using Emissivity Estimation International Journal of Applied Engineering Research 12 20 9679 9687 Search in Google Scholar

Ji C., Liu Q., Sun D., Wang S., Lin P., Li X., 2001. Monitoring urban expansion with remote sensing in China. International Journal of Remote Sensing 22(8): 1441–1455. JiC. LiuQ. SunD. WangS. LinP. LiX. 2001 Monitoring urban expansion with remote sensing in China International Journal of Remote Sensing 22 8 1441 1455 10.1080/01431160117207 Search in Google Scholar

Jimenez-Munoz J.C., Sobrino J.A., 2003. A generalized single-channel method for retrieving land surface temperature from remote sensing data. Journal of Geophysical Research 108, DOI 10.1029/2003JD003480. Jimenez-MunozJ.C. SobrinoJ.A. 2003 A generalized single-channel method for retrieving land surface temperature from remote sensing data Journal of Geophysical Research 108 10.1029/2003JD003480 Open DOISearch in Google Scholar

Kaufmann R.K., Seto K.C., Shneider A., Liu Z., Zhou L., Wang W., 2007. Climate response to rapid urban growth: Evidence of human-induced precipitation deficit. Journal of Climate 20: 2299–2306. DOI 10.1175/JCLI4109.1 KaufmannR.K. SetoK.C. ShneiderA. LiuZ. ZhouL. WangW. 2007 Climate response to rapid urban growth: Evidence of human-induced precipitation deficit Journal of Climate 20 2299 2306 10.1175/JCLI4109.1 Open DOISearch in Google Scholar

Kindscher K., Fraser A., Jakubauskas M., Debinski D., 1997. Identifying wetland meadows in Grand Teton National Park using remote sensing and average wetland values. Wetlands Ecology and Management 5(4): 265–273. DOI 10.1023/A:1008265324575. KindscherK. FraserA. JakubauskasM. DebinskiD. 1997 Identifying wetland meadows in Grand Teton National Park using remote sensing and average wetland values Wetlands Ecology and Management 5 4 265 273 10.1023/A:1008265324575 Open DOISearch in Google Scholar

Kolios S., Stylios C.D., 2013. Identification of land cover/land use changes in the greater area of the Preveza peninsula in Greece using Landsat satellite data. Applied Geography 40: 150–160. KoliosS. StyliosC.D. 2013 Identification of land cover/land use changes in the greater area of the Preveza peninsula in Greece using Landsat satellite data Applied Geography 40 150 160 10.1016/j.apgeog.2013.02.005 Search in Google Scholar

Li W.F., Cao Q.W., Kun L., Wu J.S., 2017. Linking potential heat source and sink to urban heat island: Heterogeneous effects of landscape pattern on land surface temperature. Science of the Total Environment 586: 457–465. LiW.F. CaoQ.W. KunL. WuJ.S. 2017 Linking potential heat source and sink to urban heat island: Heterogeneous effects of landscape pattern on land surface temperature Science of the Total Environment 586 457 465 10.1016/j.scitotenv.2017.01.191 Search in Google Scholar

Li Z., Li X., Wei D., Xu X., Wang H., 2010. An assessment of correlation on MODIS-NDVI and EVI with natural vegetation coverage in Northern Hebei Province, China. Procedia Environmental Sciences 2: 964–969. LiZ. LiX. WeiD. XuX. WangH. 2010 An assessment of correlation on MODIS-NDVI and EVI with natural vegetation coverage in Northern Hebei Province, China Procedia Environmental Sciences 2 964 969 10.1016/j.proenv.2010.10.108 Search in Google Scholar

Luque S., 2000. Evaluating temporal changes using multi-spectral scanner and thematic Mapper data on the landscape of a natural reserve: The New Jersey Pine Barrens, a case study. International Journal of Remote Sensing 21(13–14): 2589–2610. LuqueS. 2000 Evaluating temporal changes using multi-spectral scanner and thematic Mapper data on the landscape of a natural reserve: The New Jersey Pine Barrens, a case study International Journal of Remote Sensing 21 13–14 2589 2610 10.1080/01431160050110197 Search in Google Scholar

Luyssaert S., Ciais P., Piao S.L., Schulze E.D., Jung M., Zaehle S., et al., 2010. The European Carbon Balance: Part 3: Forests. Global Change Biology 2010. DOI 10.1111/j.1365-2486.2009.02056.x. LuyssaertS. CiaisP. PiaoS.L. SchulzeE.D. JungM. ZaehleS. 2010 The European Carbon Balance: Part 3: Forests Global Change Biology 2010. 10.1111/j.1365-2486.2009.02056.x Open DOISearch in Google Scholar

Malik M.S., Shukla J.P., Mishra S., 2019. Relationship of LST, NDBI and NDVI using Landsat-8 data in Kandaihimmat Watershed, Hoshangabad, India. Indian Journal of Geo Marine Sciences 48(1): 25–31. MalikM.S. ShuklaJ.P. MishraS. 2019 Relationship of LST, NDBI and NDVI using Landsat-8 data in Kandaihimmat Watershed, Hoshangabad, India Indian Journal of Geo Marine Sciences 48 1 25 31 Search in Google Scholar

Masek J.G., Vermote E.F., Saleous N.E., Wolfe R., Hall F.G., Huemmrich K.F., Gao F., Kutler J., Lim T.-K., 2006. A Landsat surface reflectance data set for North America, 1990-100. IEEE Geoscience and Remote Sensing Letters 3: 68–72. MasekJ.G. VermoteE.F. SaleousN.E. WolfeR. HallF.G. HuemmrichK.F. GaoF. KutlerJ. LimT.-K. 2006 A Landsat surface reflectance data set for North America, 1990-100 IEEE Geoscience and Remote Sensing Letters 3 68 72 10.1109/LGRS.2005.857030 Search in Google Scholar

Matsushita B., Yang W., Chen J., Onda Y., Qiu G., 2007. Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to topographic effects: A case study in high-density Cypress forest. Sensors 2007(7): 2636–2651. MatsushitaB. YangW. ChenJ. OndaY. QiuG. 2007 Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to topographic effects: A case study in high-density Cypress forest Sensors 2007 7 2636 2651 10.3390/s7112636 Search in Google Scholar

Meera G.G., Parthiban S., Nagaraj T., Christy A., 2015. NDVI: Vegetation change detection using remote sensing and GIS – A case study of Vellore District. 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015). Procedia Computer Science 57(2015): 1199–1210. DOI 10.1016/j.procs.2015.07.415. MeeraG.G. ParthibanS. NagarajT. ChristyA. 2015 NDVI: Vegetation change detection using remote sensing and GIS – A case study of Vellore District. 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015) Procedia Computer Science 57 2015 1199 1210 10.1016/j.procs.2015.07.415 Open DOISearch in Google Scholar

Mildrexler D.J., Zhao M., Heinsch F.A., Running S.W., 2007. A new satellite-based methodology for continental-scale disturbance detection. Ecological Applications 17(1): 235–250. MildrexlerD.J. ZhaoM. HeinschF.A. RunningS.W. 2007 A new satellite-based methodology for continental-scale disturbance detection Ecological Applications 17 1 235 250 10.1890/1051-0761(2007)017[0235:ANSMFC]2.0.CO;2 Search in Google Scholar

Mildrexler D.J., Zhao M., Running S.W., 2009. Testing a MODIS global disturbance index across North America. Remote Sensing of Environment 113(10): 2103–2117. MildrexlerD.J. ZhaoM. RunningS.W. 2009 Testing a MODIS global disturbance index across North America Remote Sensing of Environment 113 10 2103 2117 10.1016/j.rse.2009.05.016 Search in Google Scholar

Mukherjee F., Singh D., 2020. Assessing land use–land cover change and its impact on land surface temperature using LANDSAT data: A comparison of two urban areas in India. Earth Systems and Environment 4, 385–407. DOI 10.1007/s41748-020-00155-9. MukherjeeF. SinghD. 2020 Assessing land use–land cover change and its impact on land surface temperature using LANDSAT data: A comparison of two urban areas in India Earth Systems and Environment 4 385 407 10.1007/s41748-020-00155-9 Open DOISearch in Google Scholar

Mushtaq A.G., Asima, N., 2016. Determining the Vegetation Indices (NDVI) from landsat 8 satellite data. Article DOI 10.21474/IJAR01/1348. International Journal of Advance Research 4(8): 1459–1463. DOI 10.21474/IJAR01/1348 MushtaqA.G. AsimaN. 2016 Determining the Vegetation Indices (NDVI) from landsat 8 satellite data Article 10.21474/IJAR01/1348 International Journal of Advance Research 4 8 1459 1463 10.21474/IJAR01/1348 Open DOISearch in Google Scholar

Ngie A., Abutaleb K., Ahmed F., Taiwo O.J., Darwish A.A., Ahmed M., 2016. An estimation of land surface temperatures from landsat ETM+ images for Durban, South Africa. Rwanda Journal 1(1): 17p. DOI: 10.4314/rj.v1i2S.2D. NgieA. AbutalebK. AhmedF. TaiwoO.J. DarwishA.A. AhmedM. 2016 An estimation of land surface temperatures from landsat ETM+ images for Durban, South Africa Rwanda Journal 1 1 17p 10.4314/rj.v1i2S.2D Open DOISearch in Google Scholar

Nwilo P.C., Ayodele E.G., Okolie C.J., Orji M.J., Marve M.F., Oyelade E.A., et al., 2020. An assessment of seasonal variations in the CREF CORS at the University of Lagos. Geomatics, Landmanagement and Landscape No. 1, 2020: 63–77. DOI 10.15576/GLL/2020.1.63. NwiloP.C. AyodeleE.G. OkolieC.J. OrjiM.J. MarveM.F. OyeladeE.A. 2020 An assessment of seasonal variations in the CREF CORS at the University of Lagos Geomatics, Landmanagement and Landscape 1 2020: 63 77 10.15576/GLL/2020.1.63 Open DOISearch in Google Scholar

Nwilo P.C., Olayinka D.N., Atagbaza A.O., Adzandeh A.E., 2012. Determination of Land Surface Temperature (LST) and potential urban heat Island effect in parts of Lagos state using satellite imageries. FUTY Journal of the Environment 7(1): 19–33. DOI 10.4314/fje.v7i1.2. NwiloP.C. OlayinkaD.N. AtagbazaA.O. AdzandehA.E. 2012 Determination of Land Surface Temperature (LST) and potential urban heat Island effect in parts of Lagos state using satellite imageries FUTY Journal of the Environment 7 1 19 33 10.4314/fje.v7i1.2 Open DOISearch in Google Scholar

Obiefuna J.N., Nwilo P.C., Atagbaza A.O., Okolie C.J., 2013a. Spatial Changes in the Wetlands of Lagos/Lekki Lagoons of Lagos, Nigeria. Journal of Sustainable Development 6(7): 123–133. DOI 10.5539/jsd.v6n7p123. ObiefunaJ.N. NwiloP.C. AtagbazaA.O. OkolieC.J. 2013a Spatial Changes in the Wetlands of Lagos/Lekki Lagoons of Lagos, Nigeria Journal of Sustainable Development 6 7 123 133 10.5539/jsd.v6n7p123 Open DOISearch in Google Scholar

Obiefuna J.N., Nwilo P.C., Atagbaza A.O., Okolie C.J., 2013b. Land Cover Dynamics Associated with the Spatial Changes in the Wetlands of Lagos/Lekki Lagoon System of Lagos, Nigeria. Journal of Coastal Research 29(3): 671–679. DOI 10.2112/JCOASTRES-D-12-00038.1. ObiefunaJ.N. NwiloP.C. AtagbazaA.O. OkolieC.J. 2013b Land Cover Dynamics Associated with the Spatial Changes in the Wetlands of Lagos/Lekki Lagoon System of Lagos, Nigeria Journal of Coastal Research 29 3 671 679 10.2112/JCOASTRES-D-12-00038.1 Open DOISearch in Google Scholar

Obiefuna J.N., Nwilo P.C., Okolie C.J., Emmanuel E.I., Daramola O.E., 2018. Dynamics of land surface temperature in response to land cover changes in Lagos metropolis. Nigerian Journal of Environmental Sciences and Technology 2(2): 148–159. DOI 10.36263/nijest.2018.02.0074. ObiefunaJ.N. NwiloP.C. OkolieC.J. EmmanuelE.I. DaramolaO.E. 2018 Dynamics of land surface temperature in response to land cover changes in Lagos metropolis Nigerian Journal of Environmental Sciences and Technology 2 2 148 159 10.36263/nijest.2018.02.0074 Open DOISearch in Google Scholar

Odindi J.O., Bangamwabo V., Mutanga O., 2015. Assessing the value of urban green spaces in mitigating multi-seasonal urban heat using MODIS Land Surface Temperature (LST) and landsat 8 data. International Journal of Environmental Research 9(1): 9–18. OdindiJ.O. BangamwaboV. MutangaO. 2015 Assessing the value of urban green spaces in mitigating multi-seasonal urban heat using MODIS Land Surface Temperature (LST) and landsat 8 data International Journal of Environmental Research 9 1 9 18 Search in Google Scholar

Odindi J.O., Mutanga O., Abdel-Rahman E.M., Adam E., Bangamwabo V., 2017. Determination of urban land-cover types and their implication on thermal characteristics in three South African coastal metropolitans using remotely sensed data. South African Geographical Journal 99: 52–67. OdindiJ.O. MutangaO. Abdel-RahmanE.M. AdamE. BangamwaboV. 2017 Determination of urban land-cover types and their implication on thermal characteristics in three South African coastal metropolitans using remotely sensed data South African Geographical Journal 99 52 67 10.1080/03736245.2015.1117015 Search in Google Scholar

Odunuga S., Oyebande L., 2007. Change detection and hydrological implications in the Lower Ogun flood plain, SW Nigeria. Remote Sensing for Environmental Monitoring and Change Detection, IAHS-AISH Publications 316: 91–99. OdunugaS. OyebandeL. 2007 Change detection and hydrological implications in the Lower Ogun flood plain, SW Nigeria Remote Sensing for Environmental Monitoring and Change Detection, IAHS-AISH Publications 316 91 99 Search in Google Scholar

Oguz H., 2013. LST calculator: A program for retrieving land surface temperature from Landsat TM/ETM+ imagery. Environmental Engineering and Management Journal 12(3): 549–555. OguzH. 2013 LST calculator: A program for retrieving land surface temperature from Landsat TM/ETM+ imagery Environmental Engineering and Management Journal 12 3 549 555 10.30638/eemj.2013.067 Search in Google Scholar

Ojeh V.N., Balogun A.A., Okhimamhe A.A., 2016. Urban-rural temperature differences in Lagos. Climate 4: 29. DOI 10.3390/cli4020029. OjehV.N. BalogunA.A. OkhimamheA.A. 2016 Urban-rural temperature differences in Lagos Climate 4 29 10.3390/cli4020029 Open DOISearch in Google Scholar

Panda U., Mohanty, P., 2008. Monitoring and modelling of Chilika environment using remote sensing data. Proceedings of Taal 2007: The 12th World Lake Conference: 617–638. PandaU. MohantyP. 2008 Monitoring and modelling of Chilika environment using remote sensing data Proceedings of Taal 2007: The 12th World Lake Conference 617 638 Search in Google Scholar

Panigrahi S., Acharya B.C., Panigrahy R.C., Nayak B.K., Banarjee K., Sarkar S.K., 2007. Anthropogenic impact on water quality of Chilika lagoon RAMSAR site: A statistical approach. Wetlands Ecology and Management 15(2): 113–126. PanigrahiS. AcharyaB.C. PanigrahyR.C. NayakB.K. BanarjeeK. SarkarS.K. 2007 Anthropogenic impact on water quality of Chilika lagoon RAMSAR site: A statistical approach Wetlands Ecology and Management 15 2 113 126 10.1007/s11273-006-9017-3 Search in Google Scholar

Phompila C., Lewis M., Ostendorf B., Clarke K., 2015. MODIS EVI and LST temporal response for discrimination of tropical land covers. Remote Sensing 7(5): 6026–6040. PhompilaC. LewisM. OstendorfB. ClarkeK. 2015 MODIS EVI and LST temporal response for discrimination of tropical land covers Remote Sensing 7 5 6026 6040 10.3390/rs70506026 Search in Google Scholar

Qiu J., Yang J., Wang Y., Su H., 2018. A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: A case study in Southern China. International Journal of Remote Sensing 39(8): 2105–2118. DOI 10.1080/01431161.2017.1420929. QiuJ. YangJ. WangY. SuH. 2018 A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: A case study in Southern China International Journal of Remote Sensing 39 8 2105 2118 10.1080/01431161.2017.1420929 Open DOISearch in Google Scholar

Rankine C., Sánchez-Azofeifa G.A., AntonioGuzmán J., Espirito-Santo M.M., Sharp I., 2017. Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers. Environmental Research Letters 12(2017): 105007. DOI 10.1088/1748-9326/aa838c RankineC. Sánchez-AzofeifaG.A. AntonioGuzmánJ. Espirito-SantoM.M. SharpI. 2017 Comparing MODIS and near-surface vegetation indexes for monitoring tropical dry forest phenology along a successional gradient using optical phenology towers Environmental Research Letters 12 2017 105007 10.1088/1748-9326/aa838c Open DOISearch in Google Scholar

Roth M., 2008. Urban climate considerations for the development of sustainable cities. In: Proceedings for Recent Findings on Planning and Designing Sustainable Cities, Singapore, November 2008. National University of Singapore. RothM. 2008 Urban climate considerations for the development of sustainable cities In: Proceedings for Recent Findings on Planning and Designing Sustainable Cities, Singapore November 2008 National University of Singapore Search in Google Scholar

Salau O.R., Fasuba A., Aduloju K.A., Adesakin G.E., Fatigun A.T., 2016. Effects of changes in ENSO on temperature and rainfall distribution in Nigeria. Climate 2016, 4(1): 1–12. DOI 10.3390/cli4010005. SalauO.R. FasubaA. AdulojuK.A. AdesakinG.E. FatigunA.T. 2016 Effects of changes in ENSO on temperature and rainfall distribution in Nigeria Climate 2016, 4 1 1 12 10.3390/cli4010005 Open DOISearch in Google Scholar

Schott J.R., Volchok W.J., 1985. Thematic Mapper thermal infrared calibration. Photogrammetric Engineering and Remote Sensing 51: 1351–1357. SchottJ.R. VolchokW.J. 1985 Thematic Mapper thermal infrared calibration Photogrammetric Engineering and Remote Sensing 51 1351 1357 Search in Google Scholar

Semeraro T., Luvisi A., Lillo A.O., Aretano R., Buccolieri R., Marwan N., 2020. Recurrence analysis of vegetation indices for highlighting the ecosystem response to drought events: An application to the Amazon forest. Remote Sensing 12: 907. DOI 10.3390/rs12060907 SemeraroT. LuvisiA. LilloA.O. AretanoR. BuccolieriR. MarwanN. 2020 Recurrence analysis of vegetation indices for highlighting the ecosystem response to drought events: An application to the Amazon forest Remote Sensing 12 907 10.3390/rs12060907 Open DOISearch in Google Scholar

Sen P.K., 1968. Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association 63(324): 1379–1389. SenP.K. 1968 Estimates of the regression coefficient based on Kendall's tau Journal of the American Statistical Association 63 324 1379 1389 10.1080/01621459.1968.10480934 Search in Google Scholar

Sharma A., Boroevich K.A., Shigemizu D., Kamatani Y., Kubo M., Tsunoda T., 2017. Hierarchical maximum likelihood clustering approach. IEEE Transactions on Biomedical Engineering 64(1): 112–122. SharmaA. BoroevichK.A. ShigemizuD. KamataniY. KuboM. TsunodaT. 2017 Hierarchical maximum likelihood clustering approach IEEE Transactions on Biomedical Engineering 64 1 112 122 10.1109/TBME.2016.254221227046867 Search in Google Scholar

Sharma M., Gupta R., Kumar D., Kapoor R., 2011. Efficacious approach for satellite image classification. Journal of Electrical and Electronics Engineering Research 3(8): 143–150. SharmaM. GuptaR. KumarD. KapoorR. 2011 Efficacious approach for satellite image classification Journal of Electrical and Electronics Engineering Research 3 8 143 150 Search in Google Scholar

Sobrino J.A., Julien Y., 2013. Trend analysis of global MODIS-Terra vegetation indices and land surface temperature between 2000 and 2011. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6(5): 2139–2145. SobrinoJ.A. JulienY. 2013 Trend analysis of global MODIS-Terra vegetation indices and land surface temperature between 2000 and 2011 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 5 2139 2145 10.1109/JSTARS.2013.2239607 Search in Google Scholar

Soladoye O., Oromakinde O.O., 2013. Assessment of Tree Planting Efforts in Lagos Island Local Government Area of Lagos State, Nigeria. Environment and Natural Resources Research 3(4): 12–18. DOI 10.5539/enrr.v3n4p12. SoladoyeO. OromakindeO.O. 2013 Assessment of Tree Planting Efforts in Lagos Island Local Government Area of Lagos State, Nigeria Environment and Natural Resources Research 3 4 12 18 10.5539/enrr.v3n4p12 Open DOISearch in Google Scholar

Streutker D.R., 2003. Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment 85(3): 282–289. StreutkerD.R. 2003 Satellite-measured growth of the urban heat island of Houston, Texas Remote Sensing of Environment 85 3 282 289 10.1016/S0034-4257(03)00007-5 Search in Google Scholar

Sun H., Sun X., Wang H., Li Y., Li X., 2011. Automatic target detection in high-resolution remote sensing images using spatial sparse coding bag-of-words model. IEEE Geoscience and Remote Sensing Letters 9(1): 109–113. SunH. SunX. WangH. LiY. LiX. 2011 Automatic target detection in high-resolution remote sensing images using spatial sparse coding bag-of-words model IEEE Geoscience and Remote Sensing Letters 9 1 109 113 10.1109/LGRS.2011.2161569 Search in Google Scholar

Tarawally M., Wenbo X., Weiming H., Terence D.M., 2018. Comparative analysis of responses of land surface temperature to long-term land use/cover changes between a coastal and Inland City: A case of freetown and Bo town in Sierra Leone. Remote Sensing 10: 112, 18p. DOI 10.3390/rs10010112. TarawallyM. WenboX. WeimingH. TerenceD.M. 2018 Comparative analysis of responses of land surface temperature to long-term land use/cover changes between a coastal and Inland City: A case of freetown and Bo town in Sierra Leone Remote Sensing 10 112 18p 10.3390/rs10010112 Open DOISearch in Google Scholar

Tatem A.J., Nayar A., Hay S.I., 2006. Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring. International Journal of Remote Sensing 27(14): 3073–3078. TatemA.J. NayarA. HayS.I. 2006 Scene selection and the use of NASA's global orthorectified Landsat dataset for land cover and land use change monitoring International Journal of Remote Sensing 27 14 3073 3078 10.1080/01431160600589195318972521994469 Search in Google Scholar

Tran D.X., Pla F., Latorre-Carmona P., Myint S.W., Caetano M., Kieu H.V., 2017. Characterizing the relationship between land use land cover change and land surface temperature. ISPRS Journal of Photogrammetry and Remote Sensing 124: 119–132. DOI 10.1016/j.isprsjprs.2017.01.001. TranD.X. PlaF. Latorre-CarmonaP. MyintS.W. CaetanoM. KieuH.V. 2017 Characterizing the relationship between land use land cover change and land surface temperature ISPRS Journal of Photogrammetry and Remote Sensing 124 119 132 10.1016/j.isprsjprs.2017.01.001 Open DOISearch in Google Scholar

Ullah S., Tahir A.A., Akbar T.A., Hassan Q.K., Dewan A., Khan A.J., et al., 2019. Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the Lower Himalayan Region. Sustainability 11: 5492. DOI 10.3390/su11195492. UllahS. TahirA.A. AkbarT.A. HassanQ.K. DewanA. KhanA.J. 2019 Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the Lower Himalayan Region Sustainability 11 5492 10.3390/su11195492 Open DOISearch in Google Scholar

USGS [United States Geological Survey], 2015. Landsat 8 (L8) Data Users Handbook, Version 1.0. LSDS-1574. Department of the Interior, U.S. Geological Survey. USGS [United States Geological Survey] 2015 Landsat 8 (L8) Data Users Handbook, Version 1.0 LSDS-1574. Department of the Interior, U.S. Geological Survey Search in Google Scholar

USGS [United States Geological Survey], 2019. Landsat 8 Surface Reflectance Code (LASRC) Product Guide. Version 2.0. Online: https://www.usgs.gov/media/files/land-sat-8-collection-1-land-surface-reflectance-code-product-guide (accessed 20 August 2020). USGS [United States Geological Survey] 2019 Landsat 8 Surface Reflectance Code (LASRC) Product Guide Version 2.0. Online: https://www.usgs.gov/media/files/land-sat-8-collection-1-land-surface-reflectance-code-product-guide (accessed 20 August 2020). Search in Google Scholar

USGS [United States Geological Survey], 2020. Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA) on-demand interface user guide. Release 3.0.0. Version 4.0 USGS [United States Geological Survey] 2020 Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA) on-demand interface user guide Release 3.0.0. Version 4.0 Search in Google Scholar

Uyeda K.A., Stow D.A., Roberts D.A., Riggan P.J., 2017. Combining ground-based measurements and MODIS-based spectral vegetation indices to track biomass accumulation in post-fire chaparral. International Journal of Remote Sensing 38(3): 728–741. DOI 10.1080/01431161.2016.1271477. UyedaK.A. StowD.A. RobertsD.A. RigganP.J. 2017 Combining ground-based measurements and MODIS-based spectral vegetation indices to track biomass accumulation in post-fire chaparral International Journal of Remote Sensing 38 3 728 741 10.1080/01431161.2016.1271477 Open DOISearch in Google Scholar

Vermote E., Justice C., Claverie M., Franch B., 2016. Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product. Remote Sensing of Environment 185: 46–56. VermoteE. JusticeC. ClaverieM. FranchB. 2016 Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product Remote Sensing of Environment 185 46 56 10.1016/j.rse.2016.04.008699966632020955 Search in Google Scholar

Weng Q., 2003. Fractal analysis of satellite-detected urban heat island effect. Photogrammetric Engineering and Remote Sensing 69(5): 555–566. WengQ. 2003 Fractal analysis of satellite-detected urban heat island effect Photogrammetric Engineering and Remote Sensing 69 5 555 566 10.14358/PERS.69.5.555 Search in Google Scholar

Weng Q., Lu D., Schubring J., 2004. Estimation of land surface temperature – vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment 89(4): 467–483. WengQ. LuD. SchubringJ. 2004 Estimation of land surface temperature – vegetation abundance relationship for urban heat island studies Remote Sensing of Environment 89 4 467 483 10.1016/j.rse.2003.11.005 Search in Google Scholar

Wilson J.S., Clay M., Martin E., Stuckey D., Vedder-Risch K., 2003. Evaluating environmental influences of zoning in urban ecosystems with remote sensing. Remote Sensing of Environment 86(3): 303–321. WilsonJ.S. ClayM. MartinE. StuckeyD. Vedder-RischK. 2003 Evaluating environmental influences of zoning in urban ecosystems with remote sensing Remote Sensing of Environment 86 3 303 321 10.1016/S0034-4257(03)00084-1 Search in Google Scholar

WWO [World Weather Online], 2020. Lagos monthly climate averages. Online: www.worldweatheronline.com/lagos-weather-averages/lagos/ng.aspx (accessed 1 August 2020). WWO [World Weather Online] 2020 Lagos monthly climate averages Online: www.worldweatheronline.com/lagos-weather-averages/lagos/ng.aspx (accessed 1 August 2020). Search in Google Scholar

Xian G., Crane, M., 2006. An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data. Remote Sensing of Environment 104(2): 147–156. XianG. CraneM. 2006 An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data Remote Sensing of Environment 104 2 147 156 10.1016/j.rse.2005.09.023 Search in Google Scholar

Xiao R., Ouyang Z., Zheng H., Li W., Schienke E.W., Wang X., 2007. Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. Journal of Environmental Sciences 19(2): 250–256. XiaoR. OuyangZ. ZhengH. LiW. SchienkeE.W. WangX. 2007 Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China Journal of Environmental Sciences 19 2 250 256 10.1016/S1001-0742(07)60041-2 Search in Google Scholar

Xiao X., Zhang Q., Braswell B., Urbanski S., Boles S., Wofsy S., Moore III B., Ojima D., 2004. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sensing of Environment 91(2): 256–270. XiaoX. ZhangQ. BraswellB. UrbanskiS. BolesS. WofsyS. MooreB.III OjimaD. 2004 Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data Remote Sensing of Environment 91 2 256 270 10.1016/j.rse.2004.03.010 Search in Google Scholar

Yuan X., Wang W., Cui J., Meng F., Kurban A., De Maeyer P., 2017. Vegetation changes and land surface feedbacks drive shifts in local temperatures over Central Asia. Scientific Reports 7(1): 1–8. YuanX. WangW. CuiJ. MengF. KurbanA. De MaeyerP. 2017 Vegetation changes and land surface feedbacks drive shifts in local temperatures over Central Asia Scientific Reports 7 1 1 8 10.1038/s41598-017-03432-2546829028607427 Search in Google Scholar

Yue W., Xu J., Tan W., Xu L., 2007. The relationship between land surface temperature and NDVI with remote sensing: Application to Shanghai Landsat 7 ETM+ data’. International Journal of Remote Sensing 28(15): 3205–3226. YueW. XuJ. TanW. XuL. 2007 The relationship between land surface temperature and NDVI with remote sensing: Application to Shanghai Landsat 7 ETM+ data’ International Journal of Remote Sensing 28 15 3205 3226 10.1080/01431160500306906 Search in Google Scholar

Zaharaddeen I., Ibrahim I.B., Zachariah A., 2016. Estimation of land surface temperature of Kaduna metropolis, Nigeria using Landsat images. Science World Journal 11(3): 36–42. ZaharaddeenI. IbrahimI.B. ZachariahA. 2016 Estimation of land surface temperature of Kaduna metropolis, Nigeria using Landsat images Science World Journal 11 3 36 42 Search in Google Scholar

Zareie S., Khosravi H., Nasiri A., 2016. Derivation of land surface temperature from landsat thematic mapper (TM) sensor data and analysing relation between land use changes and surface temperature. Solid Earth Discussions: 1–15. DOI 10.5194/se-2016-22. ZareieS. KhosraviH. NasiriA. 2016 Derivation of land surface temperature from landsat thematic mapper (TM) sensor data and analysing relation between land use changes and surface temperature Solid Earth Discussions 1 15 10.5194/se-2016-22 Open DOISearch in Google Scholar

Zhang J., Wang Y., Li Y., 2006. A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band 6. Computers & Geosciences 32(10): 1796–1805. ZhangJ. WangY. LiY. 2006 A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band 6 Computers & Geosciences 32 10 1796 1805 10.1016/j.cageo.2006.05.001 Search in Google Scholar

Zhang Y., Balzter H., Liu B., Chen Y., 2016. Analyzing the impacts of urbanization and seasonal variation on land surface temperature based on subpixel fractional covers using landsat images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(4): 1344–1356. ZhangY. BalzterH. LiuB. ChenY. 2016 Analyzing the impacts of urbanization and seasonal variation on land surface temperature based on subpixel fractional covers using landsat images IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 4 1344 1356 10.1109/JSTARS.2016.2608390 Search in Google Scholar