عنوان مقاله [English]
In this study the relationship between annual Standard Precipitation Index (SPI) and, remotely sensed indices of Enhanced Vegetation Index (EVI) and Normalized Differencing Vegetation Index (NDVI) have been studied. MODIS images of Terra satellites for the period of 2000 to 2012, during the growing season of pastures across Golestan province alongwith rainfall data of five meteorological stations in Golestan rangelands from their establishment till 1993 were collected. Pearson correlation coefficient was used to assess the relationship between rainfall data and vegetations indices. Correlation coefficient between (SPI) drought index and EVI and NDVI indices was 0.75 and 0.78 respectively at 5% level of significance. Bedsides, correlation between the NDVI and EVI indices in detection of the vegetation changes were 0.98. In general, the results of this study showed that in regions with inadequate rainfall data, remote sensing products can be used for drought and vegetation cover dynamic monitoring.
Alavipanah, S, K. 2012. Fundamental of modern remote sensing and interpretation of satellite images and aerial photos. University of Tehran press. 3th edition, 783 Pages. (In Farsi).
Alavipanah, S. K. 2014. Application of remote sensing in the earth sciences (soil). University of Tehran press. 4th edition, 479 Pages. (In Farsi).
Allen, R. G., Tasumi, M., Trezza, R., Waters, R., Bastiaanssen, W. 2002. SEBAL (Surface Energy Balance Algorithms for Land). Advance Training and Users Manual–Idaho Implementation, version, 1.
Allison, E. W. 1989. Monitoring drought affected vegetation with AVHRR Digest. International geoscience and remote sensing symposium, 4: 1965-1967.
Baren, M. A. 1985. Hydrological aspects of droughts. UNESCO/WMO, London.
Bazrafshan, O., Mohseni Saravi, M., Malekian, A. Moeini, A. 2011. A study on drought characteristics of Golestan Province using Standardized Precipitation Index (SPI). Iranian journal of Range and Desert Reseach, 18(3): 395-407. ( in Farsi)
Bhuiyn, C., Singh, R. P., Kogan, F. N. 2006. Monitoring drough dynamics in the Aravali region (india). International Journal of Applied Earth Observation and Geoinformation, 8(4): 289-302.
Darvishzadeh, R., Matkan, A., Hosseiniasl, A., Ebrahimi Khusefi, M. 2012. Estimation of vegetation fraction in the Central arid region of Iran using satellite images (Case study: Sheitoor basin, Bafgh). Arid Biome Scientific and Research Journal, 2(1): 25-38. (In Farsi)
Ebrahimzadeh. S., Bazrafshan J., Ghorbani, Kh. 2013. Comparative Study Between Satellite and Ground-based Drought Indices Using Change Vector Analysis Technique (Case Study of Kermanshah Province). Journal of Water and Soil, 27(5): 1034-1045. ( in Farsi)
Heim, R. R. 2002. A Review of Twentieth-century Drought Indices Used in United States. Bulletin of the American Meteorological Society, 84: 1149-1165.
Ji, L., Peters, A. J. 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment, 87: 85-98.
Kogan, F. 1993. United states droughts of late 1980's as seen by NOAA polar orbiting satellites. Paper presented at the Geoscience and Remote Sensing Symposium, 1993. IGARSS'93. Better Understanding of Earth Environment., International.
Khosravi, H., Haydari, E., Shekoohizadegan, S., Zareie, S. 2017. Assessment the Effect of Drought on Vegetation in Desert Area using Landsat Data. The Egyptian Journal of Remote Sensing and Space Science, 20: S3-S12.
Li B., Tang H., Chen D. 2009. Drought Monitoring Using the Modified Temperature/Vegetation Dryness Index, 2nd International Congress on Image and Signal Processing, 17-19 October, China.
McKee, T. B, Doesken, N. J, Kleist, J. 1993. The relationship of drought frequency and duration to time scales. In: Eighth conference on applied climatology, 17–22 January, Anaheim, CA: 179– 184.
Mirmosavi, S. H., Karimi, H. 2014. Investigation of drought effect on vegetation cover using MODIS satellite images (case study: Kordestan province). Geography and Development Iranian Journal, 11(31): 57-76. ( In Farsi)
Mosaedi , A., Khalili Zade, M., Mohammadi, A. 2008. Drought monitoring in Golestan Province. Journal of Agricultural Sciences and Natural Resources, 15(2): 176-182. (In Farsi).
Mosaedi, A., Sharifan, H., Shahabi, M. 2007. Risk Management by identification of microclimates in Golestan province, Applied research report, Iran Meteorological Organization, 171 Pages.
Piri, H., Rahdari, V., Maleki, S. 2014. Study and compare performance of four meteorological drought index in the risk management droughts in Sistan and Baluchestan province. Journal of Irrigation and Water Engineering, 3(11): 96-114. (In Farsi).
Rahimzadeh-Bajgiran, P., Omasa, K., Shimizu, Y. 2012. Comparative evaluation of the Vegetation Dryness) Index (VDI), the Temperature Vegetation Dryness Index (TVDI) and the improved TVDI (iTVDI) for water stress detection in semi-arid regions of Iran. ISPRS Journal of Photogrammetry and Remote Sensing, 68: 1-12.
Rhee, J., Im, J., Carbone, G. J. 2010. Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data. Remote Sensing of Environment, 114(12): 2875-2887.
Safari Shad, M., Ildoromi, A. R., Akhzari., D. 2017. Drought Monitoring Using Vegetation Indices and MODIS Data (Case Study: Isfahan Province, Iran). Journal of Rangeland Science, 7(2): 148-159.
Thenkabail, P. S. 2004. The use of remote sensing data for drought assessment and monitoring in Southwest Asia (Vol. 85). International Water Management Institute (IWMI), Colombo, Sri Lanka.
Wilhite, D. A. 2000. Drought as a natural hazard. In: Wilhite, D. A (Editor), Drought: A Global Assessment, Routledge, London.