Evaluating the effectiveness of watershed projects on vegetation using ETM+ satellite images and Sentinel 2A sensor (case study of Hossein Abad Jiroft watershed)

Document Type : Original Article

Authors
Farshad Soleimani Sardoo 1
Hamid Noori 2
1 university of Jiroft, Academic Staff
2 malayer
10.22034/wmji.2024.712309
Abstract
Watershed projects are one of the most important executive activities to improve and restore pastures and watersheds. These activities are carried out in the context of the restoration of watersheds in order to increase the power of ecosystems and to increase the production and services of ecosystems. Increased in vegetation leads to an increase in carbon sequestration in the soil. Therefore, the evaluation of the effectiveness of watershed projects can therefore justify the allocation of the necessary funds for studies and field activities by policy makers and planners. This study aimed to investigate the effectiveness of watershed management projects in the Hossein Abad Jiroft area in terms of vegetation management. Landsat TM+ and Sentinel 2A satellite images were used in this study for the years 2010 and 2020. In this study, NDVI, RVI, DVI, and SAVI indices were used to highlight changes in vegetation over the 10-year period. The results show that the amount of vegetation indices has almost doubled after a 10-year period, indicating that watershed projects have been effective in increasing vegetation.
Keywords
Effectiveness
Hossein Abad Jiroft area
TM+ and Sentinel 2A satellite images
Vegetation indicators
Watershed projects
  1. Albalawi, K., and Kumar, L. 2013. Using remote sensing technology to detect, model and map desertification: a review. Journal of Food Agricalture Environmet, 11: 797 -791.
  2. Anyamba, A., and Tucker, C.J. 2012. Historical perspective of AVHRR NDVI and vegetation drought monitoring. Remote Sens Drought: Innovative Monit Approaches, NASA Publication.
  3. Bagherian Kalat, A., Lashkaripour, Gh., and Gafoori, M. 2021. Evaluating the Impacts of Implemented Watershed Management Project on Vegetal Cover and Sediment Yield in Kakhk Watershed Project. Journal of Enviroment Sciences Technology, 23(7): 51-63.
  4. Bai, Z.G., Dent, D.L., Olsson, L., and Schaepman, M.E. 2008. Global assessment of land degradation and improvement. Report 2008 /01, ISRIC, Wageningen.
  5. Cook, B.I., and Pau, S. 2013. A global assessment of long -term greening and browning trends in pasture lands using the GIMMS LAI 3g dataset. Journal of Remote Sensing, 5 (5): 2512 -2492.
  6. Eiumnoh, A., Bridges, E.M., Hannam, I.D., Oldeman, L.R., Penning, V.F.W.T., Scherr, S.J. and Sombatpanit, S. 2001. Tools for identification, assessment, and monitoring of land degradation. In Response to Land Degradation (Eds). Science Publishers, Inc: Enfield, NH, 249 -260.
  7. Gabriela M. A., Giorgio, G., Maria T.M., and Salvatore, V. 2003. Study of land degradation and desertification dynamics in North Africa and Central Europe areas using, Remote Sensing techniques, https://www.researchgate.net/ publication /277141633.
  8. Mushtak, T.J., and Ammar, S.D. 2015. Evaluation of Sandy Land Degradation Based on Geo - Information Techniques: a case Study South Part of Iraq. International Journal of Engineering Inventions, 5 (5): 39 -45.
  9. Reed, B.C., White, M.A., and Brown, J.F. 2003. Remote Sensing Phenology. In: Schwartz, M.D. (Ed), Phenology: An Integrative Science. Kluwer Academic Publishing, Dordrecht, the Netherlands.
  10. Reynolds, J. F. , Smith, D.M., Lambin, E.F., Turner, B.L., Mortimore, M., Batterbury S.P., Downing, T. E., Dowlatabadi, H., Fernandez, R.J., Herrick, J.E., Huber –Sannwald, E., Jiang, H., Leemans, R., Lynam, T., Maestre, F.T., Ayarza, M., and Walker, B. 2007. Global desertification: building a science for dryland development. Journal of Science, 316: 847 -851.
  11. Shalaby, A., and Tateishi, R. 2007. Remote sensing and GIS for mapping and monitoring land cover and land -use changes in the Northwestern coastal zone of Egypt. Journal of Applied Geography, 27 (1): 41 -28.
  12. Symeonakis, E., and Drake, N. 2004. Monitoring desertification and land degradation over sub - Saharan Africa. International Journal of Remote Sensing, 25 (3): 573 –592.
  13. Temesgen, G., Amare, B., and Abraham, M. 2014. Evaluations of Land Use/Land Cover Changes and Land Degradation in Dera District, Ethiopia: GIS and Remote Sensing Based Analysis, International Journal of Scientific Research in Environmental Sciences, 2(6):199-208.
  14. Townshend, J.R., Masek, J.G., Huang, C., Vermote, E.F., GAO, Channan, F., Sexton, Fengk M., Narasimhan R., and Kim, D. 2012. Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges. International Journal of Digital Earth, 5 (5): 397 -337.
  15. Verón, S.R., Paruelo, J.M., Oesterheld, M. 2006. Assessing desertification. Journal of Arid Environments, 66: 753 -763.
  16. Wessels, K.J., Prince, S.D., Frost, P.E., and Van Zyl, D. 2004. Assessing the effects of human - induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time -series. Remote Sensing of Environment, 91: 41 -67.
  17. Weston, A., and Johnson, T. 2016. Evaluating Global Land Degradation Using Ground -Based Measurements and Remote Sensing. Columbia University, 85-116.
  18. Yahaya, Z .I. 2017. Vegetation and Land Cover Change in the Context of Land Degradation in sub -Saharan West Africa, PhD thesis, University of Leicester, 1 -179 .
  19. Yahaya, Z., Ibrahim, H.B., Jörg, K., and Compton, J.T. 2015. Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI 3g, Soil Moisture and Rainfall in Sub -Saharan West Africa from 1982 to 2012, Jornal Remote Sens. 2015(7): 5471 -5494.