883
Views
36
CrossRef citations to date
0
Altmetric
Articles

Analysis of remotely-sensed ecological indexes' influence on urban thermal environment dynamic using an integrated ecological index: a case study of Xi’an, China

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 3421-3447 | Received 07 Sep 2017, Accepted 06 Sep 2018, Published online: 20 Nov 2018

References

  • Amiri, R., Q. Weng, A. Alimohammadi, and S. K. Alavipanah. 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 113: 2606–2617. doi:10.1016/j.rse.2009.07.021.
  • Avdan, U., and G. Jovanovska. 2016. “Algorithm for Automated Mapping of Land Surface Temperature Using Landsat 8 Satellite Data.” Journal of Sensors 2016 (2): 1–8. doi:10.1155/2016/1480307.
  • Bakhtiar, F., and T. Blaschke. 2013. “Land Suitability Analysis for Tabriz County, Iran: A Multi-Criteria Evaluation Approach using GIS”. Journal of Environmental Planning & Management 56 (1): 1–23. doi:10.1080/09640568.2011.646964.
  • Bektaş, B. F. 2014. “Determining the Impact of Urban Components on Land Surface Temperature of Istanbul by Using Remote Sensing Indices.” Environmental Monitoring & Assessment 186 (2): 859–872. doi:10.1007/s10661-013-3427-5.
  • Benmecheta, A., A. Abdellaoui, and A. Hamou. 2013. “A Comparative Study of Land Surface Temperature Retrieval Methods from Remote Sensing Data.” Canadian Journal of Remote Sensing 39 (1): 59–73. doi:10.5589/m13-008.
  • Chen, Z., C. Gong, J. Wu, and S. Yu. 2012. “The Influence of Socioeconomic and Topographic Factors on Nocturnal Urban Heat Islands: A Case Study in Shenzhen, China.” International Journal of Remote Sensing 33 (12): 3834–3849. doi:10.1080/01431161.2011.635717.
  • Deng, C., and C. Wu. 2013. “Examining the Impacts of Urban Biophysical Compositions on Surface Urban Heat Island: A Spectral Unmixing and Thermal Mixing Approach.” Remote Sensing of Environment 131: 262–274. doi:10.1016/j.rse.2012.12.020.
  • Ding, H., and W. Shi. 2013. “Land-Use/Land-Cover Change and Its Influence on Surface Temperature: A Case Study in Beijing City.” International Journal for Remote Sensing 34 (15): 5503–5517. doi:10.1080/01431161.2013.792966.
  • Du, S., Z. Xiong, Y. Wang, and L. Guo. 2016. “Quantifying the Multilevel Effects of Landscape Composition and Configuration on Land Surface Temperature.” Remote Sensing of Environment 178: 84–92. doi:10.1016/j.rse.2016.02.063.
  • Guo, G., Z. Wu, R. Xiao, Y. Chen, X. Liu, and X. Zhang. 2015. “Impacts of Urban Biophysical Composition on Land Surface Temperature in Urban Heat Island Clusters.” Landscape and Urban Planning 135: 1–10. doi:10.1016/j.landurbplan.2014.11.007.
  • Gupta, K., P. Kumar, S. K. Pathan, and K. P. Sharma. 2012. “Urban Neighborhood Green Index: A Measure of Green Spaces in Urban Green.” Landscape & Urban Planning 105 (3): 325–335. doi:10.1016/j.landurbplan.2012.01.003.
  • Hu, C., and P. Tang. 2012. “Automatic Algorithm for Relative Radiometric Normalisation of Data Obtained from Landsat TM and HJ-1A/B Charge-Coupled Device Sensors.” Journal Applied Remote Sensing 6 (16): 063509. doi:10.1117/1.jrs.6.063509.
  • Huete, A. R. 1988. “A Soil-Adjusted Vegetation Index (SAVI).” Remote Sensing of Environment 25 (3): 295–309. doi:10.1016/0034-4257(88)90106-X.
  • Ishola, K. A., E. C. Okogbue, and O. E. Adeyeri. 2016. “Dynamics of Surface Urban Biophysical Compositions and Its Impact on Land Surface Thermal Field.” Modeling Earth Systems and Environment 2 (4): 1–20. doi:10.1007/s40808-016-0265-9.
  • Jacobson, C. R. 2011. “Identification and Quantification of the Hydrological Impacts of Imperviousness in Urban Catchments: A Review.” Journal of Environmental Manage-Ment 92 (6): 1438. doi:10.1016/j.jenvman.2011.01.018.
  • Jiménez-Muñoz, J. C., J. Cristóbal, J. A. Sobrino, G. Soria, M. Ninyerola, and X. Pons. 2008. “Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval from Landsat Thermal-Infrared Data.” IEEE Transactions on Geoscience and Remote Sensing 47 (1): 339–349. doi:10.1109/TGRS.2008.2007125.
  • Jiménez-Muñoz, J. C., and J. A. Sobrino. 2003. “A Generalized Single-Channel Method for Retrieving Land Surface Temperature from Remote Sensing Data.” Journal of Geophysical Research Atmospheres 108: D22. doi:10.1029/2003JD003480.
  • Jiménez-Muñoz, J. C., J. A. Sobrino, D. Skoković, C. Mattar, and J. Cristóbal. 2014. “Land Surface Temperature Retrieval Methods from Landsat-8 Thermal Infrared Sensor Data.” IEEE Geoscience and Remote Sensing Letters 11 (10): 1840–1843. doi:10.1109/LGRS.2014.2312032.
  • Lever, J., M. Krzywinski, and N. Altman. 2017. “Points of Significance: Principal Component Analysis.” Nature Methods 14 (7): 641–642. doi:10.1038/nmeth.4346.
  • Li, J., C. Song, L. Cao, F. Zhu, X. Meng, and J. Wu. 2011. “Impacts of Landscape Structure on Surface Urban Heat Islands: A Case Study of Shanghai, China.” Remote Sensing of Environment 115 (12): 3249–3263. doi:10.1016/j.rse.2011.07.008.
  • Liu, H., and Q. Weng. 2008. “Seasonal Variations in the Relationship between Landscape Pattern and Land Surface Temperature in Indianapolis, USA.” Environmental Monitoring and Assessment 144 (1–3): 199–219. doi:10.1007/s10661-007-9979-5.
  • Lu, D., K. Song, S. Zang, M. Jia, J. Du, and C. Ren. 2015. “The Effect of Urban Expansion on Urban Surface Temperature in Shenyang, China: An Analysis with Landsat Imagery.” Environmental Modeling and Assessment 20 (3): 197–210. doi:10.1007/s10666-014-9426-2.
  • Maimaitiyiming, M., A. Ghulam, T. Tiyip, F. Pla, P. Latorre-Carmona, Ü. Halik, M. Sawut, and M. Caetano. 2014. “Effects of Green Space Spatial Pattern on Land Surface Temperature: Implications for Sustainable Urban Planning and Climate Change Adaptation.” ISPRS Journal of Photogrammetry & Remote Sensing 89 (3): 59–66. doi:10.1016/j.isprsjprs.2013.12.010.
  • Mao, W., X. Wang, J. Cai, and M. Zhu. 2016. “Multi-Dimensional Histogram-Based Information Capacity Analysis of Urban Heat Island Effect Using Landsat 8 Data.” Remote Sensing Letters 7 (10): 925–934. doi:10.1080/2150704X.2016.1182656.
  • Montgomery, D. C., E. A. Peck, and G. G. Vining. 2012. Introduction to Linear Regression Analysis, 5th. John Wiley &Sons: New York, NY, USA. 1–450. 1118780574
  • Mutiibwa, D., S. Strachan, and T. Albright. 2016. “Land Surface Temperature and Surface Air Temperature in Complex Terrain.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (10): 1–13. doi:10.1109/JSTARS.2015.2468594.
  • Ogashawara, I., and V. D. S. B. Bastos. 2012. “A Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover.” Remote Sensing 4 (11): 3596–3618. doi:10.3390/rs4113596.
  • Peng, J., P. Xie, Y. Liu, and J. Ma. 2016. “Urban Thermal Environment Dynamics and Associated Landscape Pattern Factors: A Case Study in the Beijing Metropolitan Region.” Remote Sensing of Environment 173: 145–155. doi:10.1016/j.rse.2015.11.027.
  • Peng, J., Z. Liu, Y. Liu, J. Wu, and Y. Han. 2012. “Trend Analysis of Vegetation Dynamics in Qinghai-Tibet Plateau Using Hurst Exponent.” Ecological Indicators 14 (1): 28–39. doi:10.1016/j.ecolind.2011.08.011.
  • Prasad, P. R., N. Nagabhatla, C. S. Reddy, S. Gupta, K. S. Rajan, and S. H. Raza. 2010. “Assessing Forest Canopy Closure in a Geospatial Medium to Address Management Concerns for Tropical Islands-Southeast Asia.” Environmental Monitoring and Assess-Ment 160 (1–4): 541–553. doi:10.1007/s10661-008-0717-4.
  • Rajasekar, U., and Q. Weng. 2009. “Application of Association Rule Mining for Exploring the Relationship between Urban Land Surface Temperature and Biophysical/Social Parameters.” Photogrammetric Engineering and Remote Sensing 75 (4): 385–396. doi:10.14358/PERS.75.4.385.
  • Running, S. W., Q. Mu, M. Zhao, and A. Moreno. 2017. “User’s Guide MODIS Global Terrestrial Evapotranspiration (ET) Product (NASA MOD16A2/A3).” NASA Earth Observing System MODIS Land Algorithm. Version 1.5, For Collection 6, July 24, 35p.
  • Sheng, Y., X. Liu, X. Yang, Q. Xin, C. Deng, and X. Li. 2017. “Quantifying the Spatial and Temporal Relationship between Air and Land Surface Temperatures of Different Land-Cover Types in Southeastern China.” International Journal of Remote Sensing 4 (1114): 1114–1136. doi:10.1080/01431161.2017.1280629.
  • Simó, G., V. Garcíasantos, M. Jiménez, D. Martínezvillagrasa, R. Picos, and V. Caselle. 2016. “Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values.” Remote Sensing 8 (10): 849. doi:10.3390/rs8100849.
  • Sobrino, J. A., J. C. Jiménez-Muñoz, and L. Paolini. 2004. “Land Surface Temperature Retrieval from Landsat TM 5.” Remote Sensing of Environment 90 (4): 434–440. doi:10.1016/j.rse.2004.02.003.
  • Streutker, D. R. 2002. “A Remote Sensing Study of the Urban Heat Island of Houston, Texas.” International Journal of Remote Sensing 23 (13): 2595–2608. doi:10.1080/01431160110115023.
  • Stroppiana, D., M. Antoninetti, and P. A. Brivio. 2014. “Seasonality of MODIS LST over Southern Italy and Correlation with Land Cover, Topography and Solar Radiation.” European Journal of Remote Sensing 47 (47): 133–152. doi:10.5721/EuJRS20144709.
  • Van, N. O., K. Kawamura, D. P. Trong, Z. Gong, and E. Suwandana. 2015. “Temporal Change and Its Spatial Variety on Land Surface Temperature and Land Use Changes in the Red River Delta, Vietnam, Using MODIS Time-Series Imagery.” Environmental Monitoring & Assessment 187 (7): 1–11. doi:10.1007/s10661-015-4691-3.
  • Vlassova, L., F. Perezcabello, H. Nieto, P. Martín, D. Riaño, and D. L. R. Juan. 2014. “Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling.” Remote Sensing 6 (5): 4345–4368. doi:10.3390/rs6054345.
  • Wang, A. S., and L. He. 2014. “Practical Split-Window Algorithm for Retrieving Land Surface Temperature over Agricultural Areas from Aster Data.” Journal of Applied Remote Sensing 8 (8): 5230–5237. doi:10.1117/1.JRS.8.083582.
  • Wang, F., Z. Qin, C. Song, L. Tu, A. Karnieli, and S. Zhao. 2015. “An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data.” Remote Sensing 7 (4): 4268–4289. doi:10.3390/rs70404268.
  • Weng, Q., D. Lu, and J. Schubring. 2004. “Estimation of Land Surface Temperature-Vegetation Abundance Relationship for Urban Heat Island Studies.” Remote Sensing of Environment 89 (4): 467–483. doi:10.1016/j.rse.2003.11.005.
  • Weng, Q., H. Liu, B. Liang, and D. Lu. 2008. “The Spatial Variations of Urban Land Surface Temperatures: Pertinent Factors, Zoning Effect, and Seasonal Variability.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1 (12): 154–166. doi:10.1109/JSTARS.2008.917869.
  • Xiong, Y., S. Huang, F. Chen, H. Ye, C. Wang, and C. Zhu. 2012. “The Impacts of Rapid Urbanization on the Thermal Environment: A Remote Sensing Study of Guangzhou, South China.” Remote Sensing 4 (7): 2033–2056. doi:10.3390/rs4072033.
  • Xu, H. 2006. “Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery.” International Journal of Remote Sensing 27 (14): 3025–3033. doi:10.1080/01431160600589179.
  • Xu, H., D. Lin, and F. Tang. 2013. “The Impact of Impervious Surface Development on Land Surface Temperature in a Subtropical City: Xiamen, China.” International Journal of Climatology 33 (8): 873–1883. doi:10.1002/joc.3554.
  • Xue, Y., and A. P. Cracknell. 1995. “Advanced Thermal Inertia Modeling.” International Journal of Remote Sensing 16 (3): 431–446. doi:10.1080/01431169508954411.
  • Xue, Y., G. Y. Cai, Y. N. Guan, A. P. Cracknell, and J. K. Tang. 2005. “Iterative Self-Consistent Approach for Earth Surface Temperature Determination.” International Journal of Remote Sensing 26 (1): 185–192. doi:10.1080/01431160412331269689.
  • Yu, X., X. Guo, and Z. Wu. 2014. “Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method.” Remote Sensing 6 (10): 9829–9852. doi:10.3390/rs6109829.
  • Yuan, F., and M. E. Bauer. 2007. “Comparison of Impervious Surface Area and Normalized Difference Vegetation Index as Indicators of Surface Urban Heat Island Effects in Landsat Imagery.” Remote Sensing of Environment 106 (3): 375–386. doi:10.1016/j.rse.2006.09.003.
  • Zha, Y., J. Gao, and S. Ni. 2003. “Use of Normalised Difference Built-Up Index in Automatically Mapping Urban Areas from TM Imagery.” International Journal of Remote Sensing 24 (3): 583–594. doi:10.1080/01431160304987.
  • Zhan, W., Y. Chen, J. Zhou, J. Wang, W. Liu, and J. Voogt. 2013. “Disaggregation of Remotely Sensed Land Surface Temperature: Literature Survey, Taxonomy, Issues, and Caveats.” Remote Sensing of Environment 131 (8): 119–139. doi:10.1016/j.rse.2012.12.014.
  • Zhang, K., R. Wang, C. Shen, and L. Da. 2010. “Temporal and Spatial Characteristics of the Urban Heat Island during Rapid Urbanisation in Shanghai, China.” Environmental Monitoring and Assessment 169 (1–4): 101–112. doi:10.1007/s10661-009-1154-8.
  • Zhang, Y., H. Balzter, B. Liu, and Y. Chen. 2016. “Analysing the Impacts of Urbanisation 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. doi:10.1109/JSTARS.-2016.2608390.
  • Zhao, S., D. Zhou, C. Zhu, W. Qu, J. Zhao, Y. Sun, D. Huang, W. Wu, and S. Liu. 2015. “Rates and Patterns of Urban Expansion in China’s 32 Major Cities over the past Three Decades.” Landscape Ecology 30 (8): 1541–1559. doi:10.1007/s10980-015-0211-7.
  • Zhao, W., X. Zhu, G. Jiang, and Z. Gao. 2018. “Seasonal Variation and Land-use/land-cover Type Impacts on The Correlation of Urban Heat Island Intensity and Difference Vegetation Index with Satellite Data in Xi’an,china.” Wuhan University Journal of Natural Sciences 23 (5): 387–395. doi: 10.1007/s11859-018-1338-6.
  • Zhou, D., L. Zhang, D. Li, D. Huang, and C. Zhu. 2016. “Climate-Vegetation Control on the Diurnal and Seasonal Variations of Surface Urban Heat Islands in China.” Environmental Research Letters 11 (7): 074009. doi:10.1088/1748-9326/11/7/074009.
  • Zhou, W., G. Huang, and M. L. Cadenasso. 2011. “Does Spatial Configuration Matter? Understanding the Effects of Land Cover Pattern on Land Surface Temperature in Urban Landscapes.” Landscape & Urban Planning 102 (1): 54–63. doi:10.1016/j.Landurbplan.2012.01.003.
  • Zhou, W., Y. Qian, X. Li, W. Li, and L. Han. 2014. “Relationships between Land Cover and the Surface Urban Heat Island: Seasonal Variability and Effects of Spatial and Thematic Resolution of Land Cover Data on Predicting Land Surface Temperatures.” Landscape Ecology 29 (1): 153–167. doi:10.1007/s10980-013-9950-5.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.