مدل‌سازی میانگین وزنی قطر خاکدانه‌ها با استفاده از شاخص‌های پوشش گیاهی در کاربری‌های مرتع و جنگل

1.Alavi Panah, K. 2003. Application of remote sensing in GeoScience (Soil Science). Tehran University Press, 478p. (In Persian)

2.An, S.S., Darboux, F., and Cheng, M. 2013. Revegetation as an efficient means of increasing soil aggregate stability on the Loess Plateau (China). Geoderma, 209: 75-85.

3.Baret, E., Guyot, G., Begue, A., Morel, P., and Podaire, A. 1986. Etude de la complémentarité du moyen infrarouge avec le visible et le proche infrarouge pour le suivi de la végétation. Spectral Signatures of Objects in Remote Sensing. Pp: 409-412.

4.Boranam, S.L., and Yadav, S.K. 2018. NDVI-based vegetation changes and Seasonal variation In Semi-Arid region, Esri India User Conference, India.

5.Bronick, C.J., and Lal, R. 2005. Soil structure and management: a review. Geoderma, 124: 1. 3-22.

6.Caravaca, F., Lax, A., and Albaladejo, J. 2004. Aggregate stability and carbon characteristics of particle-size fractions in cultivated and forested soils of semiarid Spain. Soil and Tillage Research,
78: 1. 83-90.

7.Chamard, P., Courel, M.F., Ducousso, M., Guénégou, M.C., Le Rhun, J., Levasseur, J.E., and Togola, M. 1991. Utilisation des bandes spectrales du vert et du rougepour une meilleure évaluation des formations végétales actives. Télédétection et Cartographie, Pp: 203-209.

8.Deng, Z.Q., de Lima, J.L., and Jung, H.S. 2008. Sediment transport rate-based model for rainfall-induced soil erosion. Catena, 76: 1. 54-62.

9.Escadafal, R., and Huete, A.R. 1991. Étude des propriétés spectrales des sols arides appliquée à l'amélioration des indices de végétation obtenus par télédétection. CR Acad. Sci. Paris,312: 2. 1385-1391.

10.Fahmideh, S., Davari, M., Mosaddeghi, M.R., and Sharifi, Z. 2019. Performance evaluation of reflectance spectroscopy for estimation of soil organic carbon content in Zrebar lake watershed, Kurdistan province. Water Soil Cons. Res. J. 26: 6. 59-78. (In Persian)

11.Friedman, J.H. 1991. Multivariate adaptive regression splines. The annals of statistics, Pp: 1-67.

12.Hastie, T., Tibshirani, R., and Friedman, J. 2009. The elements of statistical learning: data mining, inference, and prediction. Springer Science & Business Media.

13.Hematzadeh, E., Barani, H., and Kabi, A. 2009. The role of vegetation management on surface runoff (Case study: Kechik catchment in north-east of Golestan Province). Water Soil Cons. Res. J. 16: 2. 19-33. (In Persian)

14.Hossieni Chamani, F., FarrokhianFiruzi, A., and Amerikhah, H. 2019. Pedotransfer Function (PTF) for Estimation Soil moisture using NDVI, land surface temperature (LST) and normalized moisture (NDMI) indices. Water and Soil Conservation Researches J. 26: 4. 239-254. (In Persian)

15.Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25: 295-309.

16.Jackson, R.D., Pinter, P.J., Paul, J., Reginato, R.J., Robert, J., and Idso, S.B. 1980. Hand-held radiometry. Agricultural Reviews and Manuals ARM-W-19. Oakland, California: U.S. Department of Agriculture, Science and Education Administration.

17.Jannat Alipour, M., Kiani, F., Alipour, K. 2016. Study the relation between crop management factor in USLE and vegetation indices in loss slope lands (Case study: Wheat land in Tushen watershed). Soil and Water Conservation Researches J. 23: 1. 307-311. (In Persian)

18.Kaufman, Y.J., and Tanre, D. 1992. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE transactions on Geoscience and Remote Sensing, 30: 2. 261-270.

19.Kauth, R.J., and Thomas, G.S. 1976. The tasselled cap--a graphic description of the spectral-temporal development of agricultural crops as seen by Landsat. In LARS symposia. (159p).

20.Kember, W.D., and Rosenau, R.C. 1986. Aggregate stability and size distribution. P 425-441. In: A. Klute (ed) Methods of Soil Analysis. Part 1. American Society of Agronomy Monograph 9. Madison, WI.

21.Khanifar, J., and Khademalrasoul, A. 2020. The relationship between Bedrock geometry and soil solum at a regional scale. Geomorphometry 2020, Pp: 135-138.

22.McNairn, H., and Protz, R. 1993. Mapping corn residue cover on agricultural fields in Oxford County, Ontario, using Thematic Mapper. Canadian J. Rem. Sens. 19: 2. 152-159.

23.Neufeldt, H., Ayarza, M.A., Resck, D.V., and Zech, W. 1999. Distribution of water-stable aggregates and aggregating agents in Cerrado Oxisols. Geoderma, 93: 1-2. 85-99.

24.Nunes, A.N., De Almeida, A.C., and Coelho, C.O. 2011. Impacts of land use and cover type on runoff and soil erosion in a marginal area of Portugal. Applied Geography, 31: 2. 687-699.

25.Pearson, R.L., and Miller, L.D. 1972. Remote mapping of standing crop biomass for estimation of the productivity of the shortgrass prairie. In Remote sensing of environment, VIII
(1355p).

26.Qi, J., Chehbouni, A., Huete, A.R., Kerr, Y.H., and Sorooshian, S. 1994. A modified soil adjusted vegetationindex. Remote Sensing of Environment. 47: 1-25.

27.Richardson, A.J., and Wiegand, C.L. 1977. Distinguishing vegetation from soil background information. Photogrammetric engineering and remote sensing, 43: 12. 1541-1552.

28.Rouse, J.W., Haas, R.W., Schell, J.A., Deering, D.W., and Harlan, J.C. 1974. Monitoring the vernal advancement and retro gradation (green ware effect) of natural vegetation, Greenbelt, MD, USA, NASA/GSFCT, Type 3, Final Report.

29.Sruthi, S., and Aslam, M.M. 2015. Agricultural drought analysis using the NDVI and land surface temperature data; a case study of Raichur district. Aquatic Procedia, 4: 1258-1264.

30.Ternan, J.L., Elmes, A., Williams, A.G., and Hartley, R. 1996. Aggregate stability of soils in central Spain and the role of land management. Earth Surface Processes and Landforms, 21: 2. 181-193.

31.Tisdall, J.M., and Oades, J. 1982. Organic matter and water‐stable aggregates in soils. Europ. J. Soil Sci. 33: 2. 141-163.

32.Walkley, A., and Black, I.A. 1934. An examination of the Degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science,
37: 1. 29-38.

33.Zhang, W., and Goh, A.T. 2016. Multivariate adaptive regressionsplines and neural network modelsfor prediction of pile drivability. Geoscience Frontiers, 7: 1. 45-52.

34.Zhang, Z., Wei, C., Xie, D., Gao, M., and Zeng, X. 2008. Effects of land use patterns on soil aggregate stability in Sichuan Basin, China. Particuology,6: 3. 157-166.

35.Zanter, K. 2016. Landsat 8 (L8) data users handbook. Survey, Department of the Interior US Geological.