Potential Role of Landsat Satellite Data for the Evaluation of Land Surface Temperature and Assessment of Urban Environment

Abstract

Chinese

Bankura district in West Bengal has experienced a rapid urban expansion over the last decade due to an accelerated economic growth. This article reports an investigation into the application of the integration of remote sensing and geographic information system (GIS) for detecting urban growth and assessing its impact on surface temperature in the region. Remote sensing techniques were used to carry out land use/cover change detection by using Landsat data and its effects on vegetation health and surface temperature. Urban growth patterns were analyzed by using a GIS-based modelling approach. The integration of remote sensing and GIS was further applied to examine the impact of urban growth on surface temperatures. The results revealed a notable and uneven urban growth in the study area. The study can be useful for conservation of natural environment and for sustainable development.

Keywords

Landsat LST NASA model NDVI urban environment urban heat island

References

Artis

D.A.

Carnahan

W.H.

(1982). Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12, 313–329.

Cassels

Sobrino

J.A.

Coll

(1992a). On the use of satellite thermal data for determining evapotranspiration in partially vegetated areas. International Journal of Remote Sensing, 13, 2669–2682.

Cassels

Sobrino

J.A.

Coll

(1992b). A physical model for interpreting the land surface temperature obtained by remote sensors over incomplete canopies. Remote Sensing of Environment, 39, 203–211.

Census of India. (1991 and 2001). Provisional Population Totals. New Delhi: Office of Registrar General of India, Government of India.

Che

Price

J.C.

(1992). Survey of radiometric calibration results and methods for visible and near infrared channels of NOAA-7, -9 and -11 AVHRRs. Remote Sensing of Environment, 50, 1–7.

Chen

X.L.

. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104(2), 133–146.

Clark

Suomalainen

Pellika

(2010). A comparison of methods for the retrieval of surface reflectance factor from multitemporal SPOT HRV, HRVIR, and HRG multispectral satellite imagery. Canadian Journal of Remote Sensing, 36, 397–411.

Das

Choudhury

M.R.

Nanda

(2013). Geospatial assessment of agricultural drought (a case study of Bankura District, West Bengal). International Journal of Agricultural Science and Research (IJASR), 3(2), 1–27.

Gillies

R.R.

Carlson

T.N.

(1995). Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models. Journal of Applied Meteorology, 34, 745–756.

10.

Gillies

R.R.

Carlson

T.N.

Cui

Kustas

W.P.

Humes

K.S.

(1997). A verification of the ‘triangle’ method for obtaining surface soil water content and energy uses from remote measurements of the Normalized DiVerence Vegetation index (NDVI) and surface radiant temperature. International Journal of Remote Sensing, 18, 3145–3166.

11.

Jiménez-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(D22).

12.

Kimes

D.J.

(1983). Remote sensing of row crop structure and component temperatures using directional radiometric temperatures and inversion techniques. Remote Sensing of Environment, 13, 33–55.

13.

Ganguly

Kuntal

Ravi Shankar

(2014). Geo-environmental appraisal for studying urban environment and associated biophysical parameters using remote sensing and GIS techniques. ISPRS Technical Commission VIII Symposium, 9–12 December 2014, Hyderabad, India. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(8), 717–724.

14.

Lillesand

T.M.

Kiefer

R.W.

Chipman

J.W.

(2008). Remote sensing and image interpretation. Hoboken, NJ: John Wiley and Sons, Inc.

15.

Weng

(2006). Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and biophysical descriptors in Indianapolis, Indiana, USA. 104(2), 157–167.

16.

Weng

(2009). Extraction of urban impervious surfaces from an IKONOS image. International Journal of Remote Sensing, 30(5), 1297–1311.

17.

Kuang

Huang

(2010). Coupling urbanization analyses for studying urban thermal environment and its interplay with biophysical parameters based on TM/ETM+ imagery. International Journal of Applied Earth Observation and Geoinformation, 12(2), 110–118.

18.

Markham

B.L.

Barker

J.K.

(1985). Spectral characteristics of the LANDSAT Thematic Mapper sensors. International Journal of Remote Sensing, 6(5), 697–716.

19.

Owen

T.W.

Carlson

T.N.

Gillies

R.R.

(1998). Remotely sensed surface parameters governing urban climate change. International Journal of Remote Sensing, 19, 1663–1681.

20.

Price

J.C.

(1987). Calibration of satellite radiometers and the comparison of vegetation indices. Remote Sensing of Environment, 21, 15–27.

21.

Qin

Karnieli

Berliner

(2001). A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel–Egypt border region. International Journal of Remote Sensing, 22(18), 3719–3746.

22.

Kato

Yamaguchi

(2005). Analysis of urban heat-island effect using ASTER and ETM+ data: Separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux. Remote Sensing of Environment, 99(1), 44–54.

23.

Sobrino

J.A.

Jimenez-Muoz

J.C.

Paolini

(2004). Land surface temperature retrieval from Landsat TM5. Remote Sensing of Environment, 90(4), 434–446.

24.

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.

25.

Streutker

D.R.

(2003). Satellite-measured growth of the urban heat island of Houston, Texas. Remote Sensing of Environment, 85(3), 282–289.

26.

Tooke

T.R.

Coops

N.C.

Christen

Voogt

J.A.

(2009). Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications. Remote Sensing of Environment, 113(2), 398–407.

27.

Tran

Uchihama

Ochi

Yasuoka

(2006). Assessment with satellite data of the urban heat island effects in Asian mega cities. International Journal of Applied Earth Observation and Geoinformation, 8(1), 34–48.

28.

Updike

Comp

(2010). Radiometric use of Worldview-2 imagery. Retrieved 16 May 2013, from http://www.gsdi.org/gsdiconf/gsdi13/papers/189.pdf

29.

Voogt

J.A.

Oke

T.R.

(2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370–384.

30.

Weng

Schubring

(2004). Estimation of land surface temperature—Vegetation abundance relationship for urban heat island studies. International Journal of Remote Sensing, 89(4), 467–483.

31.

Weng

(2009). Thermal Infrared Remote Sensing for Urban Climate and Environmental Studies: Methods, applications, and trends, ISPRS Journal of Photogrammetry and Remote Sensing, 64(4), 335–344.

32.

Wukelic

G.E.

Gibbons

D.E.

Martucci

L.M.

Foote

H.P.

(1989). Radiometric calibration of Landsat Thematic Mapper thermal band. Remote Sensing of Environment, 28, 339–347.

33.

Xian

Crane

(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.

34.

H.Q.

(2008a). A new remote sensing index for fastly extracting impervious surface information. Geomatics and Information Science of Wuhan University, 33, 1150–1153.

35.

H.Q.

(2008b). A new index for delineating built-up land features in satellite imagery. International Journal of Remote Sensing, 29(14), 4269–4276.

36.

Chen

(2004). Remote sensing of the urban heat island and its changes in Xiamen city of SE China. Journal of Environmental Sciences, 16(2), 276–281.

37.

Yang

Hequn

Liu

Yong

. (2005). A satellite remote sensing based assessment of urban heat island in Lanzhou city, northwest China. ISPRS Archives, 36(8), 1–6.

38.

Yuan

Bauer

M.E.

(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.

39.

Zhang

Y.S.

Odeh

Inakwu O.A.

Han

C.F.

(2009). Bitemporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. International Journal of Applied Earth Observation and Geoinformation, 11(4), 256–264.