Satellite based estimation of land cover change and soil degradation in Urgamal, Durvoljin, Erdenekhairkhan soums of Zavkhan province

Authors

  • Zambal Baljinnyam Centre for Hydrometeorology and Environmental mon itoring, Zavkhan, Mongolia
  • Sanjaa Tuya Department of Physics, School of Applied Science, Mongolian University Science and Technology, Ulaanbaatar, Mongolia https://orcid.org/0000-0001-8603-7792
  • Erdemjargal Purev-Erdene Institute of Geography and Geoecology, Ulaanbaatar, Mongolia
  • Avirmed Buyanbaatar School of Agroecology of the Mongolian Agricultural University, Ulaanbaatar, Mongolia

DOI:

https://doi.org/10.5564/jasea.v4i1.3221

Keywords:

Soil adjacent vegetation Index (SAVI), desert, semi-desert zone, land degradation

Abstract

In this research, climate change over the last 22 years (2000-2022) in Durvoljin, Ugramal and Erdenekhairkhan Sum areas of Zavkhan province was determined and desertification status was assessed using satellite data. In this research, the soil-adjusted vegetation index (SAVI) was calculated among the vegetation indi-ces. When SAVI is calculated using data from the red and NIR channels of the MODIS satellite data, SAVI values vary between -0.4 and +0.5 as a result of im-age processing. The spatial heterogeneity of the land surface of the study area was mapped by SAVI values from -0.4 to +0.02 for water, +0.02 to +0.08 for gravel and rock, +0.08 to +0.11 for sand, +0.11 to +0.16 for sparse soil, +0.16 from - to +0.23 with sparse vegetation, and between +0.23 and +0.5 with good vegetation in 6 categories. As a result of the study, SAVI proved to be more suitable for determining soil types in desert and semi-desert areas.

Abstract
36
PDF 27

References

National climate change program. Ulaanbaatar, Appendix to Resolution, 2 (2011), Ulaanbaatar, Mongolia.

Asian Development Bank, Grassland Sustainability in Mongolia: Herder Livelihoods and Climate Change, 2014.

S. Tuya, K. Kajiwara and Y. Honda, Estimation of Evapotranspiration in Mongolian Grassland using Landsat-ETM and NOAA-AVHRR, Proceedings of The Second International Workshop on Terrestrial Change in Mongolia, December 2-3, (2003) JAMSTEC Yokohama Institute for Earth Science, Yokohama, Japan, pp.19-22

S.Tuya, Satellite based evapotranspiration estimation in the steppe area of Mongolia, PhD thesis, 2016, Ulaanbaatar, Mongolia.

A.R Huete, A soil-adjusted vegetation index (SAVI), International journal of Remote Sensing of Environment, 25-3 (1988), pp. 295-309. https://doi.org/10.1016/0034-4257(88)90106-X

Genesis T. Yengoh , David Dent , Lennart Olsson , Anna E. Tengberg , Compton J. Tucker III, Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales, Springer, Briefs in Environmental Science, 2016.

Compton J. Tucker, Jorge E. Pinzon, Molly E. Brown, Daniel A. Slayback, Edwin W. Pak, Robert Mahoney, An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data, International Journal of Remote Sensing, 26-20 (2005), pp. 4485-4498. https://doi.org/10.1080/01431160500168686

Jun Yang, Jiayi Ren, Dongqi Sun, Xiangming Xiao, Jianhong (Cecilia) Xia, Cui Jin, Xueming Li, Understanding land surface temperature impact factors based on local climate zones, Journal of Sustainable Cities and Society, 69 (2021), https://doi.org/10.1016/j.scs.2021.102818

R. Oyun, S. Altanhuyag, S. Tuya, Monitoring of surface temperature daily dynamics using NOAA-AVHRR data, Proceedings of 13rd Asian Conference on Remote Sensing October 7-11, 1992, Ulaanbaatar, Mongolia.

S.Tuya, Net radiation estimation under arid and semi-arid areas in Bayan-Undur soum, Uvurkhangai aimag of Mongolia, with Landsat TM data, Proceedings of the International Conference on climate change on arid and semi-arid regions April 20, (2013), pp. 174-180

Downloads

Published

2023-12-28

How to Cite

[1]
Z. Baljinnyam, T. Sanjaa, E. Purev-Erdene, and A. Buyanbaatar, “Satellite based estimation of land cover change and soil degradation in Urgamal, Durvoljin, Erdenekhairkhan soums of Zavkhan province”, J. appl. sci. eng., A, vol. 4, no. 1, pp. 33–41, Dec. 2023.

Issue

Section

Articles