Skip to main content

Advertisement

Log in

Modeling changes trend of time series of land surface temperature (LST) using satellite remote sensing productions (case study: Sistan plain in east of Iran)

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

To assess the long-term variations in the trend of the mean monthly land surface temperature, LST products from the MODIS sensor on Terra satellite (MOD11A1) were employed. A total of 1365 daily images of LST MODIS were provided from the Land Processes Distributed Active Archive Center for April (450 images), May (465 images), and June (450 images) months. Then the mean monthly land surface temperature (LST) was estimated separately using daily land surface temperature (LST) time series for 3 months, April, May, and June, as well as for the total statistical period studied. A total number of 30,080 pixels were investigated within the studied area according to spatial resolution 1 in 1 km each image. Finally, the long-term variations trend of the mean monthly land surface temperature was evaluated using Sen’s slope estimator and classic linear regression on a pixel basis. According to the results, there was no significant difference in both models about the estimation of long-term variations trend of the mean monthly LST and they had the same performance. The results of this research also showed that the highest increasing trends in LST was observed in the north of the plain, which may be due to the drying up of Hamoun triple wetlands. However, the highest decreasing trends in LST was observed in the northeast, southwest, and west of the study area, which may be attributed to the expansion of agricultural lands and gardens in the northeastern part of the plain (along the main branch of Hirmand River) and digging of small wells in the southwest and west of the plain by indigenous peoples as well as the use of supply water for farming.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Aires F, Prigent C, Rossow WB, Rothstein M (2001) A new neural network approach including first guess for retrieval of atmospheric water vapor, cloud liquid water path, surface temperature, and emissivities over land from satellite microwave observations. J Geophys Res 106:814887–814907

    Article  Google Scholar 

  • Alec Sithole CTFM (2009) Climate variability and change over southern Africa: impacts and challenges. Afr J Ecol 47(s1):17–20

    Article  Google Scholar 

  • Amiri R, Weng QH, Alimohammadi A, Alavipanah SK (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 Sens Environ 113(12):2606–2617

    Article  Google Scholar 

  • Anding D, Kauth R (1970) Estimation of sea surface temperature from space. Remote Sens Environ 1(4):217–220

    Article  Google Scholar 

  • Becker F, Li ZL (1990) Towards a local split window method over land surfaces. Int J Remote Sens 11:369–393

    Article  Google Scholar 

  • Chedin A, Scott NA, Wahiche C, Moulinier P (1985) The improved initialization inversion method a high resolution physical method for temperature retrievals from satellites of the TIROS-N series. J Clim Appl Meteorol 24:128–143

    Article  Google Scholar 

  • Czajkowski KP, Mulhern T, Goward SN, Cihlar J, Dubayah RO, Prince SD (1997) Biospheric environmental monitoring at BOREAS with AVHRR observations. J Geophys Res Atmos 102:29651–29662

    Article  Google Scholar 

  • Daneshmand H, Mahmoudi P (2017) Estimation and assessment of temporal stability of periodicities of droughts in Iran. Water Resour Manag 31(11):3413–3426

    Article  Google Scholar 

  • Dickinson RE (1996) Land surface processes and climate modeling. B A Meteorol Soc 76:1445–1448

    Article  Google Scholar 

  • Draper NR, Smith H (1998) Applied regression analysis, 3rd edition. New York: John Wiley, 724 pp. 

  • Fatemi M, Narangifard M (2019) Monitoring LULC changes and its impact on the LST and NDVI in District 1 of Shiraz City. Arab J Geosci. https://doi.org/10.1007/s1251

  • Frey CM, Kuenzer C (2015) Analysing a 13 years MODIS land surface temperature time series in the Mekong basin. In: Kuenzer C, Dech S, Wagner W (eds) remote sensing time series. remote sensing and digital image processing, 22: 119-140, Springer, Cham. 

  • Goulden ML, Miller SD (2006) Nocturnal cold air drainage and pooling in a tropical forest. J Geophys Res-Atmos 111(8):1–13

    Google Scholar 

  • Idso SB, Jackson RD, Reginato RJ (1978) Extending the degree day concept of phenomenological development to include water stress effects. Ecology 59:431–433

    Article  Google Scholar 

  • Sen PK (1968) Estimates of the regression coefficient based on Kendall's tau. J Am Stat Assoc 63(324):1379–1389

    Article  Google Scholar 

  • Jackson RD, Idso SB, Reginato RJ, Pinter PJ (1981) Canopy temperature as a crop water stress indicator. Water Resour Res 17:1133–1138

    Article  Google Scholar 

  • Jimenez-Munoz JC, Sobrino JA (2003) A generalized single-channel method for retrieving land surface temperature from remote sensing data. J Geophys Res 108:4688–4695

    Article  Google Scholar 

  • Karimi Firozjaei M, Kiavrz Mogadam M (2017) Investigating the relationship between temperature, net radiation flux by biophysical properties and lanuse using LandSat 8 satellite imagery. J RS GIS Nat Resour 7(4):79–96 (In Persian)

    Google Scholar 

  • Katpatal YB, Kute A, Satapathy R (2009) Surface- and air-temperature studies in relation to land use/land cover of Nagpur urban area using Landsat 5 TM data. J Urban Plan D-ASCE 134(3):110–118

    Article  Google Scholar 

  • Kerr YH, Lagouarde JP, Nerry F, Ottlé C (2004) Land surface temperature retrieval techniques and applications: case of the AVHRR in thermal remote sensing in land surface processes. Remote Sens Environ 85:33–109

    Google Scholar 

  • Kneizys F X, Shettle E P, Gallery W O, Chetwynds J H, Abreu L W, Selby J E A, Clougs S A, Fenn R W (1983) Atmospheric transmittance/radiance computer code LOWTRAN 6 technical report AFGL-TR-83-0187. Optical Physics Division US Air force Geophysics laboratory Hancecom Air force base Massachusettes. USA

  • Kuenzer C, Dech S (2013) Theoretical Background of Thermal Infrared Remote Sensing. In: Kuenzer C, Dech S (eds) Thermal infrared remote sensing. remote sensing and digital image processing, 17: 1-26, Springer, Dordrecht. 

  • McMillin LM (1975) Estimation of sea surface temperatures from two infrared window measurements with different absorption. J Geophys Res 80(36):5113–5117

    Article  Google Scholar 

  • Moran MS, Clarke TR, Inoue Y, Vidal A (1994) Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sens Environ 46:246–263

    Article  Google Scholar 

  • Nichol J (1996) High-resolution surface temperature patterns related to urban morphology in a tropical city: a satellite-based study. J Appl Meteorol 35(1):135–146

    Article  Google Scholar 

  • Pongratz J, Bounoua L (2006) The impact of land cover change on surface energy and water balance in Mato Grosso. Brazil. Earth Interact 10:1–17

    Article  Google Scholar 

  • Prabhakara C, Dalu G, Kunde VG (1974) Estimation of sea surface temperature from remote sensing in the 11- to 13-μm window region. J Geophys 79(33):5039–5044

    Article  Google Scholar 

  •  Prata F (2002) Land surface temperature measurement from space - AATSR algorithm theoretical basis document. CSIRO Atmospheric Research, Aspendale, Australia.

  • Price JC (1984) Land surface temperature measurements from the split window channels of the NOAA 7 AVHRR. J Geophys Res 89:7231–7237

    Article  Google Scholar 

  • Prihodko L, Goward SN (1997) Estimation of air temperature from remotely sensed surface observations. Remote Sens Environ 60:335–346

    Article  Google Scholar 

  • Qin Z, Karnieli A, Berliner P (2001) A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. Int J Remote Sens 22:3719–3746

    Article  Google Scholar 

  • Raynolds M, Comiso J, Walker D, Verbyla D (2008) Relationship between satellite-derived land surface temperatures, Arctic vegetation types, and NDVI. Remote Sens Environ 112:1884–1894

    Article  Google Scholar 

  • Raziei T, Daneshkar Arasteh P, Saghafian B (2005) Annual rainfall trend analysis in arid and semi-arid regions of central and eastern Iran. J Water Wastewater 16(54):73–81 (In Persian)

  • Rhee J, Jungho I, Gregory JC (2010) Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data. Remote Sens Environ 114:2875–2887

    Article  Google Scholar 

  • Saraf AK, Chaudhary S (2005) Thermal remote sensing technique in the study of pre-earthquake thermal anomalies. J Indian Geophys Union 9(3):197–207

    Google Scholar 

  • Saunders PM (1967) Aerial measurement of sea surface temperature in the infrared. J Geophys 72(16):4109–4117

    Article  Google Scholar 

  • Scott NA, Chedin A (1981) A fast line by line method for atmospheric absorption computations: the automatized atmospheric absorption atlas. J Appl Meteorol 20:802–812

    Article  Google Scholar 

  • Shah D (2013) Thermal Infrared Remote Sensing Over Land Surface Retrieval and Applications of Land Surface Tempeature. PhD thesis Department of Physic, Sardar Patel Univercity, Gujarat, India

  • Shah DB, Pandya MR, Trivedi HJ, Jani AR (2012) Estimation of minimum and maximum air temperature using MODIS data over Gujarat. J Agrometeorol 14(2):111–118

    Google Scholar 

  • Sirois A (1998) A brief and biased overview of time series analysis or how to find that evasive trend. In: Proceedings of the workshop on advanced statistical methods and their application to air quality data sets, Report WMO TD NO 956, World Meteorological Organization, Geneva, Switzerland. 

  • Sobrino JA, Jimenez-Munoz JC (2005) Land surface temperature retrieval from thermal infrared data: an assessment in the context of the surface processes and ecosystem changes through response analysis (SPECTRA) mission. J Geophys Res 110:1–13

    Article  Google Scholar 

  • Sobrino JA, Li ZL, Stoll MP, Becker F (1996) Multi-channel and multi-angle algorithms for estimating sea and land surface temperature with ATSR data. Int J Remote Sens 17:2089–2114

    Article  Google Scholar 

  • Sow M, Mbow C, Christelle H, Fensholt R, Sambou B (2013) Estimation of herbaceous fuel moisture content using vegetation indices and land surface temperature from MODIS data. Remote Sens 5:2617–2638

    Article  Google Scholar 

  • Stisen S, Sandholt I, Norgaard A, Fensholt R, Eklundh L (2007) Estimation of diurnal air temperature using MSG SEVIRI data in West Africa. Remote Sens Environ 110:262–274

    Article  Google Scholar 

  • Streutker DR (2002) A remote sensing study of urban heat island of Houston Texas. Int J Remote Sens 23(13):2595–2608

    Article  Google Scholar 

  • Sun D, Pinker RT (2003) Estimation of land surface temperature from a Geostationary Operational Environmental Satellite (GOES-8). J Geophys Res 108:4326

    Article  Google Scholar 

  • Tan SY (2007) The influence of temperature and precipitation climate regimes on vegetation dynamics in the US Great Plains: a satellite bioclimatology case study. Int J Remote Sens 28(22):4947–4966

    Article  Google Scholar 

  • Theil H (1950) A rank-invariant method of linear and polynomial regression analysis. Ind Math 12:85–91

    Google Scholar 

  • Townshend JRG, Justice CO, Skole D, Malingreau JP, Cihlar J, Teillet P (1994) The 1 km resolution global data set needs of the International Geosphere Biosphere Programme. Int J Remote Sens 15:3417–3441

    Article  Google Scholar 

  • Van Beek E, Meijer K (2006) The Sistan Wetlands Ecosystem: Functioning and responses. In Integrated Water Resources Management Study of the Sistan Closed Inland Delta Iran; Annex, D., Ed.; WL|Delft Hydraulics: Delft, Netherlands. 

  • Wan Z, Dozier J (1996) A generalized split-window algorithm for retrieving land surface temperature from space. IEEE Trans Geosci Remote Sens 34:892–905

    Article  Google Scholar 

  • Wan Z, Zhang Y, Zhang Q, Li ZL (2002) Validation of the land-surface temperature products retrieved from Terra moderate resolution imaging spectroradiometer data. Remote Sens Environ 83(1):163–180

    Article  Google Scholar 

  • Wan Z, Zhang Y, Zhang Q, Li ZL (2004) Quality assessment and validation of the MODIS global land surface temperature. Int J Remote Sens 25(1):261–274

    Article  Google Scholar 

  • Weng Q, Lu D, Schubring J (2004) Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sens Environ 89(4):467–483

    Article  Google Scholar 

  • Xiong Y, Qiu G (2011) Estimation of evapotranspiration using remotely sensed land surface temperature and the revised three-temperature model. Int J Remote Sens 32(20):5853–5874

    Article  Google Scholar 

  • Yue S, Pilon P (2004) A comparison of the power of the t-test, Mann-Kendall and bootstrap tests for trend detection. J Hydrol Sci 49(1):21–37

    Article  Google Scholar 

  • Yue S, Pilon P, Cavadias G (2004) Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. J Hydrol 259(4):254–271

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peyman Mahmoudi.

Additional information

Responsible Editor: Domenico M. Doronzo

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Firoozi, F., Mahmoudi, P., Jahanshahi, S.M.A. et al. Modeling changes trend of time series of land surface temperature (LST) using satellite remote sensing productions (case study: Sistan plain in east of Iran). Arab J Geosci 13, 367 (2020). https://doi.org/10.1007/s12517-020-05314-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-020-05314-w

Keywords

Navigation