اداره کل حفاظت محیط زیست استان البرز، وضعیت محیط زیست استان البرز، تهدیدها، فرصتها و راهکارهای پیشنهادی. 1394، قابل دسترس از: http://alborz.doe.ir/portal/File/ShowFile.aspx?ID=0d70ec13-80c2-48f7-ac7a-3e3027f5c2e9
اداره کل هواشناسی استان البرز، نگرشی بر ویژگیهای اقلیمی استان البرز. 1394، قابل دسترس از: http://www.alborz-met.ir/Dorsapax/Data/Sub_0/File/pahnehbandy.p%20df.pdf
Alimohammadi, M., Alirezaei, S., & Kontak, D.J. (2015). Application of ASTER data for exploration of porphyry copper deposits: A case study of Daraloo–Sarmeshk area, southern part of the Kerman copper belt, Iran. Ore Geology Reviews, 70, 290-304
Baig, M.H.A., Zhang, L., Shuai, T., & Tong, Q. (2014). Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters, 5, 423-431
Banks, J., Brindley, H., Flamant, C., Garay, M., Hsu, N., Kalashnikova, O., Klüser, L., & Sayer, A. (2013). Intercomparison of satellite dust retrieval products over the west African Sahara during the Fennec campaign in June 2011. Remote Sensing of Environment, 136, 99-116
Basso, B., Cammarano, D., & De Vita, P. (2004). Remotely sensed vegetation indices: Theory and applications for crop management. Rivista Italiana di Agrometeorologia, 1, 36-53
Borrelli, P., Panagos, P., Ballabio, C., Lugato, E., Weynants, M., & Montanarella, L. (2014). TOWARDS A PAN‐EUROPEAN ASSESSMENT OF LAND SUSCEPTIBILITY TO WIND EROSION. Land Degradation & Development
Cao, H., Amiraslani, F., Liu, J., & Zhou, N. (2015a). Identification of dust storm source areas in West Asia using multiple environmental datasets. Science of the Total Environment, 502, 224-235
Cao, H., Liu, J., Wang, G., Yang, G., & Luo, L. (2015b). Identification of sand and dust storm source areas in Iran. Journal of Arid Land, 7, 567-578
Christopher, S.A., & Jones, T.A. (2010). Satellite and surface-based remote sensing of Saharan dust aerosols. Remote Sensing of Environment, 114, 1002-1007
Eastman, J.R. (2012). IDRISI Selva Tutorial. Idrisi Production, Clark Labs-Clark University, 45, 51-63
El-Askary, H.M., Sarkar, S., Kafatos, M., & El-Ghazawi, T.A. (2003). A multisensor approach to dust storm monitoring over the Nile Delta. IEEE Transactions on Geoscience and Remote Sensing, 41, 2386-2391
Ginoux, P., Chin, M., Tegen, I., Prospero, J.M., Holben, B., Dubovik, O., & Lin, S.J. (2001). Sources and distributions of dust aerosols simulated with the GOCART model. Journal of Geophysical Research: Atmospheres, 106, 20255-20273
Hansen, B., Schjønning, P., & Sibbesen, E. (1999). Roughness indices for estimation of depression storage capacity of tilled soil surfaces. Soil and Tillage Research, 52, 103-111
Hatfield, J.L., & Sauer, T.J. (2011). Soil management: building a stable base for agriculture. American Society of Agronomy.
Ichoku, C., Kaufman, Y.J., Remer, L.A., & Levy, R. (2004). Global aerosol remote sensing from MODIS. Advances in Space Research, 34, 820-827
IRAN, M.F., ARAB, K.M., & AKRAM, M. (2005). INVESTIGATION OF DUST ORIGINS AND CHARACTERISTICS OF THEIR SPREADING IN SISTAN'S STORMS, IRAN REGION, USING IMAGE PROCESSING
Jenness, J. (2013). DEM surface tools for ArcGIS. Jenness Enterprises, 1-96
Jin, S., & Sader, S.A. (2005). Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances. Remote Sensing of Environment, 94, 364-372
Kaźmierowski, C., Ceglarek, J., Królewicz, S., Cierniewski, J., Universityc, A.M., Jasiewicz, J., & Wyczałek, M. (2015). Soil surface roughness quantification using DEM obtained from UAV photogrammetry
Kneubühler, M., Koetz, B., Richter, R., Schaepman, M., & Itten, K. (2005). Geometric and radiometric pre-processing of CHRIS/PROBA data over mountainous terrain. In, Proc. 3rd CHRIS/PROBA Workshop, Frascati (I) (pp. 21-23)
Lancaster, N., & Baas, A. (1998). Influence of vegetation cover on sand transport by wind: field studies at Owens Lake, California. Earth Surface Processes and Landforms, 23, 69-82
Lee, J.A., Baddock, M.C., Mbuh, M.J., & Gill, T.E. (2012). Geomorphic and land cover characteristics of aeolian dust sources in West Texas and eastern New Mexico, USA. Aeolian Research, 3, 459-466
Leys, J.F., & Mctainsh, G.H. (1996). SEDIMENT FLUXES AND PARTICLE GRAIN‐SIZE CHARACTERISTICS OF WIND‐ERODED SEDIMENTS IN SOUTHEASTERN AUSTRALIA. Earth Surface Processes and Landforms, 21, 661-671
Liu, Q., Liu, G., Huang, C., Liu, S., & Zhao, J. (2014). A tasseled cap transformation for Landsat 8 OLI TOA reflectance images. In, Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International (pp. 541-544): IEEE
Long, X., Li, N., Tie, X., Cao, J., Zhao, S., Huang, R., Zhao, M., Li, G., & Feng, T. (2016). Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data. Science of the Total Environment, 541, 1603-1613
Malczewski, J. (1999). GIS and multicriteria decision analysis. John Wiley & Sons.
Malczewski, J., & Rinner, C. (2015). Multicriteria decision analysis in geographic information science. Springer.
Mashayekhan, A., & Honardoust, F. (2011). Multi-criteria evaluation model for desertification hazard zonation mapping using GIS (Study Area: Trouti Watershed, Golestan, Iran). Journal of Rangeland Science, 1, 331-339
Mezõsi, G., Blanka, V., Bata, T., Kovács, F., & Meyer, B. (2013). Estimation of regional differences in wind erosion sensitivity in Hungary. Natural Hazards and Earth System Sciences Discussions, 1, 4713-4750
Miller, R., Tegen, I., & Perlwitz, J. (2004). Surface radiative forcing by soil dust aerosols and the hydrologic cycle. Journal of Geophysical Research: Atmospheres, 109
Prospero, J.M., Ginoux, P., Torres, O., Nicholson, S.E., & Gill, T.E. (2002). Environmental characterization of global sources of atmospheric soil dust identified with the Nimbus 7 Total Ozone Mapping Spectrometer (TOMS) absorbing aerosol product. Reviews of Geophysics, 40
Raupach, M.R., & Lu, H. (2004). Representation of land-surface processes in aeolian transport models. Environmental Modelling & Software, 19, 93-112
Samadi, M., Boloorani, A.D., Alavipanah, S.K., Mohamadi, H., & Najafi, M.S. (2014). Global dust Detection Index (GDDI); a new remotely sensed methodology for dust storms detection. Journal of Environmental Health Science and Engineering, 12, 1
Schepanski, K., Tegen, I., & Macke, A. (2012). Comparison of satellite based observations of Saharan dust source areas. Remote Sensing of Environment, 123, 90-97
Shahraiyni, H.T., Karimi, K., Nokhandan, M.H., & Moghadas, N.H. (2015). Monitoring of dust storm and estimation of aerosol concentration in the Middle East using remotely sensed images. Arabian Journal of Geosciences, 8, 2095-2110
Tarekegn, T.H., Haile, A.T., Rientjes, T., Reggiani, P., & Alkema, D. (2010). Assessment of an ASTER-generated DEM for 2D hydrodynamic flood modeling. International Journal of Applied Earth Observation and Geoinformation, 12, 457-465
Waggoner, D.G., & Sokolik, I.N. (2010). Seasonal dynamics and regional features of MODIS-derived land surface characteristics in dust source regions of East Asia. Remote Sensing of Environment, 114, 2126-2136
Webb, N.P., McGowan, H.A., Phinn, S.R., & McTainsh, G.H. (2006). AUSLEM (Australian Land Erodibility Model): A tool for identifying wind erosion hazard in Australia. Geomorphology, 78, 179-200
Webb, N.P., & Strong, C.L. (2011). Soil credibility dynamics and its representation for wind erosion and dust emission models. Aeolian Research, 3, 165-179
Yero, S.A., Hainin, M.R., & Yacoob, H. (2012). DETERMINATION OF SURFACE ROUGHNESS INDEX OF VARIOUS BITUMINOUS PAVEMENTS. International Journal of Research and Reviews in Applied Sciences, 13
Zhang, B., Tsunekawa, A., & Tsubo, M. (2008). Contributions of sandy lands and stony deserts to long-distance dust emission in China and Mongolia during 2000–2006. Global and Planetary Change, 60, 487-504
Zhou, Y., Chang, X., Ye, S., Zheng, Z., & Lv, S. (2015). Analysis on regional vegetation changes in dust and sandstorms source area: a case study of Naiman Banner in the Horqin sandy region of Northern China. Environmental Earth Sciences, 73, 2013-2025
Zobeck, T., Parker, N., Haskell, S., & Guoding, K. (2000). Scaling up from field to region for wind erosion prediction using a field-scale wind erosion model and GIS. Agriculture, ecosystems & environment, 82, 247-259
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