skip to main content

Development of Desertification Indicators for Desertification Monitoring from Landsat Images Using Python Programming

*Lamyaa Gamal EL-Deen Taha  -  professor of surveying and photogrammetry, Egypt
Manar A. Basheer  -  National Authority for Remote Sensing and Space Science (NARSS), Egypt
Amany Morsi Mohamed  -  National Authority for Remote Sensing and Space Science (NARSS), Egypt

Citation Format:

Nowadays, desertification is one of the most serious environment socioeconomic issues and sand dune advances are a major threat that causes desertification. Wadi El-Rayan is one of the areas facing severe dune migration. Therefore, it's important to monitor desertification and study sand dune migration in this area. Image differencing for the years 2000 (Landsat ETM+) and 2019 (OLI images) and Bi-temporal layer stacking was performed. It was found that image differencing is a superior method to get changes of the study area compared to the visual method (Bi-temporal layer stacking). This research develops a quantitative technique for desertification assessment by developing indicators using Landsat images. Spatial distribution of the movement of sand dunes using some spectral indices (NDVI, BSI, LDI, and LST) was studied and a Python script was developed to calculate these indices. The results show that NDVI and BSI indices are the best indices in the identification and detection of vegetation. It was found that mobile sand dunes on the southern side of the lower Wadi El-Rayan Lake caused filling up of large part of the lower lake. The indices results show that sand movement decreased the size of the lower Wadi El-Rayan Lake and there are reclamation activities in the west of the lower lake. The results show that a good result could be achieved from the developed codes compared to ready-made software (ENVI 5).

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Instrument
Type Research Instrument
  Download (14KB)    Indexing metadata
Keywords: Desertification;Climate change;Monitoring; Sand dunes; Spectral indice;NDVI; BSI; LDI; Land degradation

Article Metrics:

  1. Afrasinei, G. M., Melis, M. T., Buttau, C., Arras, C., Zerrim, A., Guied, M., … Ghiglieri, G. (2017). Classification Methods for Detecting and Evaluating Changes in Desertification-Related Features in Arid and Semi-arid Environments. In Water and Land Security in Drylands (pp. 269–289). [">Crossref]

  2. Ahmed, I. S. (2015). Desertification in: Current status and trends. Conference Proceedings Kubuqi International Desert Forum, 41–53.

  3. Al-Adhami, R. M. A. (2001). The use of remote sensing in the study of the movement of sand dunes in the middle of the Sedimentary Plain. University of Baghdad.

  4. Al-Dabi, H., Koch, M., El-Baz, F., & Al-Sarawi, M. (1998). Mapping and monitoring of sand dune patterns in Northwest Kuwait using Landsat TM images. Sustainable Development of Arid Zones: Assessment and Monitoring of Desert Ecosystems, 1, 273–279.

  5. Anandababu, D., Purushothaman, B. M., & Suresh, B. S. (2018). Estimation of land surface temperature using Landsat 8 data. International Journal of Advance Research, 4(2), 177–186.

  6. Anyamba, A., & Tucker, C. J. (2005). Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981--2003. Journal of Arid Environments, 63(3), 596–614.

  7. BAI, X. (2017). Analysis of Desertification Situation Using Remote Sensing and GIS-A Case Study in Ongniud Banner, Horqin Sandy Land. 千葉大学= Chiba University.

  8. Bakr, N., & Afifi, A. A. (2019). Quantifying land use/land cover change and its potential impact on rice production in the Northern Nile Delta, Egypt. Remote Sensing Applications: Society and Environment, 13, 348–360. [">Crossref]

  9. Cui, L., & Wenbo, W. U. (2008). Research on Monitoring the Changes of Desertification Based on Remote Sensing. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7, 1009–1112.

  10. Dulaimi, I. (2015). The use of different natural vegetation index (NDVI) and some plant indicators for monitoring desertification and sand dunes in Baiji / Iraq. Tikrit Journal Science, 20(1), 109–120.

  11. El-Magd, I. A., Hassan, O., & Arafat, S. (2013). Quantification of Sand Dune Movements in the South Western Part of Egypt, Using Remotely Sensed Data and GIS. Journal of Geographic Information System, 05(05), 498–508. [">Crossref]

  12. Elhag, A. M. ., Adam, A. H. M., & Elsheikh, A. R. (2014). Desertification Assessment, using Remote Sensing, GIS and other techniques. Case study: Wadi Al Kanger, Sudan.

  13. Els, A., Merlo, S., & Knight, J. (2015). Comparison of two Satellite Imaging Platforms for Evaluating Sand Dune Migration in the Ubari Sand Sea (Libyan Fazzan). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, {XL}-7/W3, 1375–1380. [">Crossref]

  14.  Fadhil, A. M. (2013). Sand dunes monitoring using remote sensing and GIS techniques for some sites in Iraq. In H. Tan (Ed.), PIAGENG 2013: Intelligent Information, Control, and Communication Technology for Agricultural Engineering. [">Crossref]

  15. Gómez, D., Salvador, P., Sanz, J., Casanova, C., & Casanova, J. (2018). Detecting Areas Vulnerable to Sand Encroachment Using Remote Sensing and GIS Techniques in Nouakchott, Mauritania. Remote Sensing, 10(10), 1541. [">Crossref]

  16. Gonçalves, G., Duro, N., Sousa, E., Pinto, L., & Figueiredo, I. (2014). Detecting changes on coastal primary sand dunes using multi-temporal Landsat imagery. In L. Bruzzone, J. A. Benediktsson, & F. Bovolo (Eds.), SPIE Proceedings. [">Crossref]

  17. Helldén, U., & Tottrup, C. (2008). Regional desertification: A global synthesis. Global and Planetary Change, 64(3–4), 169–176.

  18. Hill, J., Sommer, S., Mehl, W., & Mégier, J. (1996). A conceptual framework for mapping and monitoring the degradation of Mediterranean ecosystems with remote sensing. The Use of Remote Sensing for Land Degradation and Desertification Monitoring in the Mediterranean Basin: State of the Art and Future Research. Environment and Climate Program, Report EUR, 16732, 23–43.

  19. Jensen, J R. (2005). Introductory Digital Image Processing: A Remote Sensing Perspective. Upper Saddle River, Prenice Hall, Inc. 525p.

  20. Jensen, John R. (2005). Digital image processing: a remote sensing perspective. Upper Saddle River, NJ: SPrentice Hall.

  21. Joseph, O., Gbenga, A. E., & Langyit, D. G. (2018). Desertification risk analysis and assessment in Northern Nigeria. Remote Sensing Applications: Society and Environment, 11, 70–82. [">Crossref]

  22. Kadim, L. S., Hussain, A. I., & Salih, S. A. (2009). Study of nature, origin, movement and extension of sand dunes by using sedimentological aspects and remote sensing techniques in Baiji area, North Iraq. Journal of Kirkuk University--Scientific Studies, 4(2), 23.

  23. Lamchin, M., Lee, J.-Y., Lee, W.-K., Lee, E. J., Kim, M., Lim, C.-H., … Kim, S.-R. (2016). Assessment of land cover change and desertification using remote sensing technology in a local region of Mongolia. Advances in Space Research, 57(1), 64–77. [">Crossref]

  24. Lamqadem, A., Saber, H., & Pradhan, B. (2018). Quantitative Assessment of Desertification in an Arid Oasis Using Remote Sensing Data and Spectral Index Techniques. Remote Sensing, 10(12), 1862. [">Crossref]

  25. Maxwell, T. A., & Haynes Jr, C. V. (1992). Remote sensing of sand transport in the Western Desert of Egypt. Geology of the Arab World.

  26. Metwally, S. A., Abouziena, H. F., Bedour, M. H., Leila, M. M., Farahat, E., & Habba, E. (2016). Biological method in stabilization of sand dunes using the ornamental plants and woody trees: review article. Journal of Innovations in Pharmaceuticals and Biological Sciences, 3(1), 36–53.

  27. Mohamed, I. N. L., & Verstraeten, G. (2012). Analyzing dune dynamics at the dune-field scale based on multi-temporal analysis of Landsat-TM images. Remote Sensing of Environment, 119, 105–117. [">Crossref]

  28. Munkhdulam, O., Avirmed, E., JONATHAN, C. H., & RENCHINMYADAG, T. (2018). Assessment of landscapeecological potential of Khovd province, Mongolia using satellite imagery and the spatial multicriteria decisionmaking method. Globa Scientific Journals. GSJ, 6.

  29. Suliman, A. A., & Farhood, A. F. (2015). Monitoring the movement of sand dunes in Thi-Qar governorate using some spectral indicies. International Journal of Scientific Engineering and Research, 5(4), 113–118.

  30. UNCCD United Nations Convention to Combat Desertification. (1994). Elaboration of an International Convention to Combat Desertification in Countries Experiencing Serious Drought and/or Desertification, Particularly in Africa.

  31. Valiente, J. A., Niclòs, R., Barberá, M. J., & Estrela, M. J. (2010). Analysis of differences between air--land surface temperatures to estimate land surface air temperature from MSG data. Spanish Ministerio De Ciencia E Innovación (CONSOLIDER-INGENIO 2010 CSD2007-00067).

  32. Xu, D., Kang, X., Qiu, D., Zhuang, D., & Pan, J. (2009). Quantitative Assessment of Desertification Using Landsat Data on a Regional Scale {textendash} A Case Study in the Ordos Plateau, China. Sensors, 9(3), 1738–1753. [">Crossref]

  33. Yao, Z. Y., Wang, T., Han, Z. W., Zhang, W. M., & Zhao, A. G. (2007). Migration of sand dunes on the northern Alxa Plateau, Inner Mongolia, China. Journal of Arid Environments, 70(1), 80–93. [">Crossref]

  34. Zhao, G., & Meng, Y. (2010). Remote sensing image based information extraction for land salinized degradation and its evolution. 2010 Sixth International Conference on Natural Computation. [">Crossref]

Last update:

No citation recorded.

Last update:

No citation recorded.