Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 7, pp. 89-101

A study of the long-term dynamics of soil moisture in the Bac Binh district (Binh Thuan province, Vietnam) using Landsat multispectral images

L.H. Trinh 1 , V.R. Zablotskii 2 , K.H. Dao 1 
1 Le Quy Don Technical University, Hanoi, Vietnam
2 Moscow State University of Geodesy and Cartography, Moscow, Russia
Accepted: 12.10.2018
DOI: 10.21046/2070-7401-2018-15-7-89-101
Drought and desertification are considered one of the most damaging natural disasters in Vietnam, which affects the economy, environment, human well-being and threatens food security. The paper presents results of soil moisture evaluation from LANDSAT multi-temporal and multispectral images of Bac Binh district, Binh Thuan province, Vietnam. Soil moisture assessment was carried out by using temperature vegetation dryness index (TVDI) calculated basing on land surface temperature and normalized difference vegetation index NDVI. The linear relationships between soil moisture determined from the results of meteorological observations and TVDI, NDVI indices and land surface temperature have significant correlation coefficients. It is shown that remote sensing techniques which have advantages over traditional methods can be effectively applied for soil moisture in the agricultural territories of Vietnam. Finally, an analysis of the results obtained for the period 2002–2017 indicates the presence of progressive desertification, which is the consequence of global climate change and anthropogenic impact.
Keywords: remote sensing, soil moisture, drought, desertification, thermal infared image, Landsat, TVDI
Full text

References:

  1. Bondur V. G., Gorokhovskii K. Yu., Ignatiev V. Yu., Murynin A. B., Gaponova E. V., Metod prognozirovaniya urozhainosti po kosmicheskim nablyudeniyam za dinamikoi razvitiya vegetatsii (Method of yield forecasting based on space observations over vegetation dynamics), Izvestiya Vuzov. Geodeziya i aerofotos″emka, 2013, No. 6, pp. 61–68.
  2. Grishchenko M. Yu., Primenenie teplovykh snimkov sistemy ETM+ dlya izucheniya teplovogo ostrova Moskvy (ETM+ thermal infrared imagery application for Moscow urban heat island study), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 4, pp. 95–101.
  3. Zverev A. T., Trinh L. H., Monitoring vlazhnosti pochvy po dannym mnogozonal’noi sʺemki Landsat (Monitoring soil moisture using multispectral image Landsat), Issledovanie Zemli iz kosmosa, 2015, No. 6, pp. 62–67.
  4. Marchukov V. S., Trinh L. H., Monitoring poverkhnostnoi temperatury vo V’etname po dannym mnogozonal’noi sʺemki KA LANDSAT (Monitoring land surface temperature in Vietnam using LANDSAT thermal infrared image), Izvestiya Vuzov. Geodeziya i aerofotos”emka, 2013, Vol. 6, pp. 41–43.
  5. Savin I. Yu., Bartalev S. A., Loupian E. A., Tolpin V. A., Medvedeva M. A., Plotnikov D. E., Sputnikovyi monitoring vozdeistviya zasukhi na rastitel’nost’ (na primere zasukhi 2010 goda v Rossii) (Satellite monitoring of vegetation affected by drought (using drought 2010 in Russia as an example)), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 1, pp. 150–162.
  6. Bao Y., Gama G., Gang B., Alatengtuya Y., Husiletu Y., Monitoring of drought disaster in Xilin Guole grassland using TVDI model, Intelligent Systems and Decision Making for Risk Analysis and Crisis Response: Proc. 4th Intern. Conf. Risk Analysis and Crisis Response, Istanbul, Turkey, 27–29 Aug. 2013, 2013, pp. 299–310.
  7. 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.
  8. Goward S., Hope A., Evapotranspiration from combined reflected solar and emitted terrestrial radiantion: preliminary FIFE results from AVHRR data, Advance in Space Research, 1989, Vol. 9, pp. 239–249.
  9. Haas J., Soil moisture modeling using TWI and satellite imagery in the Stockholm region, Master’s of Science Thesis in Geoinformatics, Stockholm, Sweden, 2010, 103 p.
  10. Karnieli A., Agam N., Pinker R. T., Anderson M., Imhoff M. L., Gutman G. G., Panov N., Goldberg A., Use of NDVI and land surface temperature for drought assessment: merits and limitations, J. Climate, 2009, Vol. 23, pp. 618–633.
  11. Lambin T. R., Ehrlich D., The surface temperature-vegetation index space for land cover and land cover change analysis, Intern. J. Remote Sensing, 1996, Vol. 17(3), pp. 163–187.
  12. Mira M., Valor E., Boluda R., Caselles V., Coll C., Influence of the soil moisture effect on the thermal infrared emissivity, Tethys, 2007, Vol. 4, pp. 2–9.
  13. Rahimzadeh-Bajgiran P., Omasa K., Shimizu Y., Comparative evaluation of the vegetation dryness index (VDI), the temperature vegetation dryness index (TVDI) and the improve TVDI (iTVDI) for water stress detection in semi-arid regions of Iran, ISPRS J. Photogrammetric and Remote Sensing, 2012, Vol. 68, pp. 1–12.
  14. Sandholt I., Rasmussen K., Anderson J., A simple interpretation of the surface temperature/vegetation index space for assessment of the surface moisture status, Remote Sensing of Environment, 2002, Vol. 79, pp. 213–224.
  15. Sam L., Vuong N. D., The selection to research formula of drought index and applying to calculate droughty frequency in Ninh Thuan province, Science and Technology Collection of The Vietnam Southern Institute of Water Resources Research, 2008, pp. 186–195.
  16. Trinh L. H., Application of LANDSAT thermal infrared data to study soil moisture using temperature vegetation dryness index, Vietnam J. Earth Sciences, 2014, Vol. 36(03), pp. 262–270.
  17. Valor E., Caselles V., Mapping land surface emissivity from NDVI. Application to European African and South American areas, Remote Sensing of Environment, 1996, Vol. 57, pp. 167–184.
  18. Van de Griend A. A., Owen M., On the relationship between thermal emissivity and the normalized difference vegetation index for natural surface, Intern. J. Remote Sensing, 1993, Vol. 14, pp. 1119–1131.
  19. Vinh P. Q., Huong P. T. T., Assessing agricultural drought for Binh Thuan province under climate change scenario, Vietnam J. Earth Sciences, 2012, Vol. 34(4), pp. 513–523.
  20. Yuan L., Heping T., Hua W., Dynamic drought monitoring in Guangxi using revised temperature vegetation dryness index, Wuhan University J. Natural Sciences, 2007, Vol. 12(4), pp. 663–668.
  21. Wan Z., Wang P., Li X., Using MODIS land surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA, Intern. J. Remote Sensing, 2004, Vol. 25(1), pp. 61–72.