Skip to main content
SpringerLink
Log in

Analysis of Image Transformation and Land Use/Land Cover for Temperature Trends on Landsat Imagery

  • Chapter
  • First Online:
Thematic Cartography for the Society

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

The global climate change phenomenon has become a big issue, one aspect of which is change in temperature (temperature trend) in urban areas. Temperature trend can be investigated using a remote sensing data approach through multiple extractions based on transformations such as NDVI and NDBI. This transformation could represent land cover types quantitatively so the relationship between different indices, such as NDVI, NDBI, and the temperature can be seen. Processing shows that the distribution and trend of temperatures in a Landsat 5 TM thermal band for periods 1992 and 2009 has risen by an average temperature of 0.99 °C, an indicator of the temperature trend in Yogyakarta city. The results of the relationship between brightness temperature and land use/cover pattern (LUCP) is seen in the results of the transformation of NDVI and NDBI correlated with brightness temperature values. The correlation value for temperature and those two parameters suggests that the NDBI transformation is the most dominant factor affecting the increase in temperature, with a regression coefficient reaching 0.5184, and that larger built up areas will create hotter temperatures.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Betchel B, Zaksek K, Hoshyaripour G (2012) Downscaling land surface temperature in an urban area: a case study for Hamburg, Germany. Journal of Remote Sensing 4: 3184-3200

    Google Scholar 

  • BPS (2012) Daerah Dalam Angka Kota Yogyakarta Tahun 2012. BPS, Yogyakarta Chander G, Markham B (2003) Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges. IEEE Transactions on Geoscience and Remote Sensing 41: 2674-2677

    Google Scholar 

  • Chen Y, Wang J, Li X (2002) A study on urban thermal field in summer based on satellite remote sensing. Journal of Remote Sensing for Land and Resources 4: 55–59

    Google Scholar 

  • Chen, Xhiao-Ling, Zhao HM, Li PX, Yin ZY (2005) Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment 104: 133-146

    Google Scholar 

  • Cox JR, Hodges R, Rozenweig C, Solecki WD (2005) Skin of the Big Apple: Characterizing the Surface Heat Island of New York City and Integration with MM5 Climate Model. Paper presented at EPA Conference Call, 26 January 2005

    Google Scholar 

  • Daldjoeni N (1986) Pokok-pokok Klimatologi. Penerbit Alumni, Bandung Danoedoro P (1996) Pengolahan Citra Digital. Faculty of Geography Universitas Gadjah Mada, Yogyakarta

    Google Scholar 

  • Danoedoro P (2012) Pengantar Penginderaan Jauh Digital. Andi Press, Yogyakarta Deosthali V (2000) Impact of rapid urban growth on heat and moisture islands in Pune City, India. Atmospheric Environment 34: 2745-2754

    Google Scholar 

  • Friedl M A, Broadley CE (1997) Decision tree classification of land cover from remotely sensed data. Remote sensing of environment 61: 399-409

    Google Scholar 

  • Gallo K P, Owen TW (1998) Assessment of urban heat island: a multi sensor perspective for the Dallas Ft Worth USA region. Geocarto International 13: 35-41

    Google Scholar 

  • Hawkins TW, Brazel AJ, Stefanov WL, Bigler W, Saffell EM (2004) The role of rural variability in urban heat island determination for Phoenix, Arizona. Journal of Applied Meteorology 43: 476-486

    Google Scholar 

  • Kopec RJ (1970) Further Observations of The Urban Heat Island in A Small City. Bulletin of the American Meteorological Society 51: 602–606

    Google Scholar 

  • Lillesand TM, Kiefer RW (1997) Remote Sensing and Image Interpretation 4th Editions. John Wiley and Son, New York

    Google Scholar 

  • Lin CY, Chen WC, Chang PL, Sheng YF (2011) Impact of the urban heat island effect on precipitation over a complex geographic environment in Northern Taiwan. Journal of Application Meteorology Climatology 50: 339-353

    Google Scholar 

  • Liu L, Zhang Y (2011) Urban heat island analysis using the Landsat TM Data and ASTER data: A case study in Hong Kong. Journal of Remote Sensing 2011 3: 1535-1552

    Google Scholar 

  • Owen TW, Carlson TN, Gillies RR (1998) An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. International Journal of Remote Sensing 19: 1663-1681

    Google Scholar 

  • Purevdorj TS, Tateishi R, Ishiyama T, Honda Y (1998) Relationship between percent vegetation cover and vegetation indices. International Journal of Remote Sensing 19(18): 3519-3535

    Google Scholar 

  • Rao PK (1972) Remote sensing of urban “heat islands” from an environmental satellite. Bulletin of the American Meteorological Society 53: 647-648

    Google Scholar 

  • Saaroni H, Eyal BD, Arieh B, Oded P (2000) Spatial distribution and microscale characteristics of the urban heat island in Tel-Aviv. Landscape and Urban Planning 48: 1-18

    Google Scholar 

  • Streutker DR (2002) A remote sensing study of the urban heat island of Houston, Texas. International Journal of Remote Sensing 23(13): 2595-2608

    Google Scholar 

  • Streutker DR (2003) Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment 85: 282-289

    Google Scholar 

  • Sutanto (1994a) Penginderaan Jauh Jilid I. Gadjah Mada University Press, Yogyakarta Sutanto (1994b) Penginderaan Jauh Jilid II. Gadjah Mada University Press, Yogyakarta

    Google Scholar 

  • Tian Q, Min X (1998) Advances in study on Vegetation indices. Advance in Earth Sciences 13(4): 327-333

    Google Scholar 

  • Weng Q (2001) A remote sensing-GIS evaluation of urban expansion and its impact on surface temperature in Zhujiang Delta, China. International Journal of Remote Sensing 22(10): 1999-2014

    Google Scholar 

  • Wang J, Rich PM, Price KP, Kettle WD (2004) Relations between NDVI and tree productivity in the central Great Plains. International Journal of Remote Sensing 25(16): 3127-3138

    Google Scholar 

  • Zha Y, Gao J, Ni S (2003) Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing 24(3): 583-594

    Google Scholar 

  • Zhao-ming Z, Guo-jin H, Rong-bo X, Wei W (2006) Land Surface Temperature Retrieval of Beijing City using MODIS and TM Data. Proceeding of Geoscience and Remote Sensing Symposium, 2006. IEEE International Conference. Beijing, China, July 31 2006-Aug. 4: 1094 – 1096

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Cartographyy and Remote Sensing, Faculty of Geography, Universitas Gadjah Mada, Bulaksumur, Yogyakarta, Indonesia

    Iswari Nur Hidayati, Khalifah Insan Nur Rahmi, Gerry Kristian, Vidya Nahdhiyatul Fikiyah & Diyah Puspitaningrum

Authors
  1. Iswari Nur Hidayati
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Khalifah Insan Nur Rahmi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gerry Kristian
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vidya Nahdhiyatul Fikiyah
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Diyah Puspitaningrum
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Iswari Nur Hidayati .

Editor information

Editors and Affiliations

  1. Department of Photogrammetry and Cartography, University of Architecture, Civil Engineering and Geodesy, Sofia, Sofiya, Bulgaria

    Temenoujka Bandrova

  2. Department of Geography, Masaryk University, Brno, Czech Republic

    Milan Konecny

  3. GISt, OTB Research Institute for the Built Environment, Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Sisi Zlatanova

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Hidayati, I.N., Rahmi, K.I.N., Kristian, G., Fikiyah, V.N., Puspitaningrum, D. (2014). Analysis of Image Transformation and Land Use/Land Cover for Temperature Trends on Landsat Imagery. In: Bandrova, T., Konecny, M., Zlatanova, S. (eds) Thematic Cartography for the Society. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-08180-9_20

Download citation

Publish with us

Policies and ethics

Search

Navigation