ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 6, pp. 59-68

Application of remote sensing in determining land surface emissivity using LANDSAT multispectral imagery (case study: Bac Binh district, Binh Thuan province, Vietnam)

L.H. Trinh 1 , E.A. Terekhin 2 , D.T. Vu 3 
1 Le Quy Don Technical University, Hanoi, Vietnam
2 Belgorod State National Research University, Federal and Regional Centre for Aerospace Monitoring, Belgorod, Russia
3 Hanoi University of Natural Resources and Environment, Hanoi, Vietnam
Emissivity is a characteristic of a surface which determines its ability to emit or give off heat by radiation. Land surface emissivity can be determined by standard radiation thermometer or using satellite imagery. This article presents the results of a remote sensing application to determine land surface emissivity in Bac Binh district, Binh Thuan province (Vietnam) based on normalized difference vegetation index (NDVI) using red (0,63–0,69 µm) and near infrared (0,77–0,90 µm) channels of LANDSAT multispectral image. The study was performed using a method based on the correlation between NDVI and emissivity coefficient. NDVI values are calculated by using LANDSAT multispectral images after radiometric and atmospheric correction of the data. This study used 120 training samples to calculate NDVI for pure soil and pure vegetation cover areas. On the basis of obtained materials, the vegetation cover dynamics for 2002–2014 was analyzed, including the spatial and temporal dynamics of forest. The results obtained in this study can be used in determining land surface temperature, analyzing vegetation cover dynamics and drought monitoring.
Keywords: remote sensing, land surface emissivity, NDVI, multispectral image, Landsat
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  1. Marchukov V.S., Le Hung Trinh, Metody vyyavleniya dinamiki tropicheskoy rastitel'nosti V'yetnama putem avtomatizirovannogo deshifrirovaniya vremennykh ryadov mnogozonal'nykh snimkov (The methods of identification of the Vietnamese tropical vegetation dynamics using automated interpretation of the multi-spectral images), Issledovanie Zemli iz Kosmosa, 2011, Vol. 3, pp. 75–85.
  2. Marchukov V.S., Le Hung Trinh, Monitoring poverkhnostnoy temperatury vo V'yetname po dannym mnogozonal'noy s"yemki KA LANDSAT (Monitoring land surface temperature using LANDSAT thermal infrared image), Izvestiya Vuzov “Geodesy and Aerophotography”, 2013, Vol. 6, pp. 41–43.
  3. Alipour T., Sarajian M.R. Esmaeily A. Land surface temperature estimation from thermal band of LANDSAT sensor, case study: Alashtar city, The international archives of the Photogrammetry, remote sensing and spatial information sciences, 2008, Vol. XXXVIII-4/C7, 6 p.
  4. Carlson T.N., Ripley D.A. On the relation between NDVI, fractional vegetation covers and leaf area index, Remote sensing of Environment, 1997, Vol. 62, pp. 241–252.
  5. Chavez P.S. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data, Remote Sensing of Environment, 1988, Vol. 2, pp. 459–479.
  6. Chavez P.S. Image-based atmospheric corrections–revisited and improved, Photogrammetric Engineering and Remote Sensing, 1996, Vol. 62, No. 9, pp. 1025–1036.
  7. Gillespie A.R., Rokugawa S., Hook S.J., Matsunaga T., Kahle A. Temperature/Emissivity separation algorithm theoretical basis document, version 2.4, 1999, ATND–AST–05–08, Prepared under NASA contract NAS5 – 31372.
  8. Lu Yuan, Tao Heping, Wu Hua. Dynamic drought monitoring in Guangxi using revised temperature vegetation dryness index. Wuhan University journal of Natural sciences, 2007, Vol. 12, No.4, pp. 663–668.
  9. Sundara Kumar K., Udaya Bhaskar P., Padmakumari K. Estimation of land surface temperature to study urban heat island effect using LANDSAT ETM+ image, International journal of Engineering Science and technology, 2012, Vol. 4, No. 2, pp. 771–778.
  10. Tran H., Yasuoka Y. MODIS data acquisition, processing and scientific ultilization framework at the Institute of Industrial Science, University of Tokyo, In Proceeding of the 22nd Asian conference on Remote sensing, Singapore, 2001, Vol. 1, pp. 488–492.
  11. Tran Thi Van, Hoang Thai Lan, Le Van Trung. Thermal remote sensing method in sudy on urban surface temperature distribution, Vietnam Journal of Earth Sciences, 2009, Vol. 31(02), pp. 168–177.
  12. Trinh Le Hung. Studies of land surface temperature distribution using LANDSAT multispectral image, Vietnam Journal of Earth Sciences, 2014, Vol. 36(01), pp. 82–89.
  13. Valor E., Caselles V. Mapping land surface emissivity from NDVI. Application to European African and South American areas, Remote sensing of Environment, 1996, 57, pp. 167–184.
  14. Van de Griend A.A., Owen M. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surface, International journal of remote sensing, 1993, Vol. 14, pp. 1119–1131.
  15. Yuan F., Bauer M. E. 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, 2007, Vol. 106, pp. 375–386.