12. Allison, E.W. (1989).Monitoring drought affected vegetation with AVHRR Digest International Geoscience and Remote Sensing Symposium, 4:1965-1967
13. Amina1,B., Khaled, M. Djamel, A. (2019),Thermal Disturbances and their Impact on Vegetation Productivity in Natural Reserve of Beni Salah (North East of Algeria) from 1986 to 2015, Journal of Environmental Biosciences ,2019, 8, 1:81-91
14. Arizona", Geo Journal. Springer Netherlands, Volume 22,120-131 component analysis (GPCA), In IEEE Conference on Computer Vision and Pattern Recognition, Volume I, pp. 621–628..
15. Gan, T., (1998), Hydro climatic trend and possible climatic warming in the Canadian prairies, Water Resource Research, 34 (11): 3009-3015.
16. Hirsch; Robert M, James R; Slack, (1984), A nonparametric trend test for seasonal data with serial dependence. Water Resources Research, 727-732.
17. Kassa, A.(1990). Drought risk monitoring for Sudan using NDVI, 1982-1993. A Dissertation submitted to the University College London
18. Kogan, F.N.(1993).United States droughts of late 1980's as seen by NOAA polar orbiting satellites. International Geoscience and Remote Sensing Symposium, 1:197-199
19. Lamchin ,M., Kyun Lee, W., Jeon, S., Wangyel Wang, S., Lim, C., Song, C., Sung, M., (2019),Corrigendum to “Mann-Kendall Monotonic Trend Test and Correlation Analysis using Spatio-temporal Dataset: the case of Asia using vegetation greenness and climate factors., J. of MethodsX 6 (2019) 1379–1383
20. Mbatha , N and Xulu, S., (2018)., Time Series Analysis of MODIS-Derived NDVI for the HluhluweiMfolozi Park, South Africa: Impact of Recent Intense Drought., peer-reviewed journal, pp1-21
21. Nasanbat, E., Sharav ,S., Sanjaa,T., Lkhamjav, O., Magsar, E., Tuvdendorj B., (2018) , FREQUENCY ANALYSIS OF MODIS NDVI TIME SERIES FOR DETERMINING HOTSPOT OF LAND DEGRADATION IN MONGOLIA, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences., XLII-3, :PP1299-1304
22. Zandi1,R., Entezari2, A., Khosravian ,M.,(2018), The Evaluation of Spatial Variations of Vegetation and Surface Temperature by Using Remote Sensing (Case Study: Fars Province,( (2017-1967)), Journal of Hydrosciences and Environment 2(4): PP 10-18