ارزیابی تأثیر پیش پردازش پارامترهای ورودی حاصل از تصاویر ماهواره ای به شبکه عصبی مصنوعی در تعیین بافت خاک

 

Abbaspour-Gilandeh Y., Alimardani R., Khalilian A., Keyhani A., and Sadati H. 2008. Prediction of draft force and tillage energy of subsoiling operation using ANN model. The 5^th National Congress on Biosystem Engineering and Mechanization, 1-13.

Abdalla N.I., Karamalla Gaiballa A., Ksch C., Sulieman M., and Mariod A. 2015. Using MODIS- derived NDVI and SAVI to distinguish between different rangeland sites according to soil types in semi-arid areas of Sudan (North Kordofan State). International Journal of Life Science and Engineering, 1(4): 150-164.

Ahmed Z., and Iqbal J. 2014.  Evaluation of Landsat TM5 multispectral data for automated mapping of surface soil texture and organic matter in GIS. European Journal of Remote Sensing, 47:557-573.

Alizadeh R. 1993. Remote sensing (principles and applications), Samt Press, pp.310.

Chang D.H., and Islam S. 2000. Estimation of soil physical properties using remote sensing and artificial neural network. Remote Sensing of Environment, 74(3): 534-544.

Chang D.H., Kothari R., and Islam S.2003.Classification of soil texture using remotely sensed brightness temperature over the Southern Great Plains. IEEE Transactions on Geoscience and Remote Sensing, 41(3): 664 - 674.

Ebrahimi Z., Vali A., Ghazavi R., and Haghparast H. 2012. Investigation of soil texture particles and geometric mean particle diameter effects on soil surface of spectral reflectance (case study: Yazd). Journal of Quantities Geomorphology Researches, 3: 115-128.

Ghabaei-Sough M., Mosaedi A., Hesam M., and Hezarjaribi A. 2010. Evaluation effect of input parameters preprocessing in artificial neural networks (Anns) by using stepwise regression and gamma test techniques for fast estimation of daily evapotranspiration. Journal of Water and Soil (Agricultural Sciences and Technology), 24(3): 610-624. (In persion)

Karamouz M., and Araghinejad S. 2005. Advanced hydrology. Amirkabir University of Technology, Tehran Polytechnic Press, 465p.

Kouchakzadeh M., and Bahmani B.2005. Assessment of artificial neural networks revenue in reducing required parameters for estimation of reference evapotranspiration. Journal of Agricultural Sciences, 11(4): 87-97.

Liao K., Shaohui X.U., Jichun W.U., and Zhu Q. 2013. Spatial estimation of surface soil texture using remote sensing data. Soil Science and Plant Nutrition, 59: 488–500.

McBratney A.B., Santos M.L., and Minasny B. 2003. On digital soil mapping. Geoderma, 117: 3-52.

Price J.C. 1984. Land surface temperature measurements from the split window channel of the NOAA 7 advanced very high resolution radiometer. Journal of Geophysical Research, 89: 7231–7237.

Shahabfara A., Ghulamb A., and Eitzinger J. 2012. Drought monitoring in Iran using the perpendicular drought indices. International Journal of Applied Earth Observation and Geoinformation, 18: 119–127.

Shirazi M., and Boersma A. 1984. A unifying quantitative analysis and soil texture. Soil Science Society of America Journal, 48: 142-147.

Shirazi M., Matinfar M., Nematolahi M.J., and Zehtabiyan G.R. 2011.Comparison of information content of aster and LISS-III Bands in Arid Areas (Case study: Damghan Playa). Journal of Applied RS and GIS Techniques in Natural Resource Science, 1(1): 31-49.

Wang D.C., Zhang G.L., Zhao M.S., Pan X.Z., Zhao Y.G., Li D.C., and Macmillan B. 2015. Retrieval and mapping of soil texture based on land surface diurnal temperature range data from MODIS, PLoS ONE, 10(6): e0129977.

Waters R., Allen R., Tasumi M., Trezza R., and Bastiaanssen W. 2002. SEBAL surface energy balance algorithms for land, Idaho Implementation. Advanced Training and User’s Manual (NDVI).

Ziaee D., and Khajedin S.J. 2013. Mapping of soil texture and saturated soil surface moisture using remote sensing (Case study: Esfahan). Iranian Journal of Range and Desert Research, 20(4): 795-808.