نقشه برداری سه بُعدی درصد رطوبت اشباع خاک با استفاده از تلفیق روش‌های زمین آماری و متغیرهای محیطی در دشت سیستان

1.Mulder, V., de Bruin, S., Schaepman, M., & Mayr, T. )2011(. The use of remote sensing in soil and terrain mapping - a review. Geoderma. 62, 1-19.

2.Wulf, H., Mulder, T., Schaepman, M., Keller, A., & Jörg, P. )2014(. Remote sensing of soils. Tech. Rep. 00.0338.
PZ/435-0501. University of Zurich. 1-171.

3.Soil Science Division Staff. )2017(. Soil survey manual. C. Ditzler, K. Scheffe, and H. C. Monger (eds.). USDA Handbook 18. Government Printing Office, Washington, D.C.

4.Ahmad Aali, K., Parsinejad, M., & Rahmani, B. )2009(. Estimation of Saturation Percentage of Soil Using Multiple Regression, ANN, and ANFIS Techniques. Computer and Information Science, 2 (3), 127-136.

5.Stivent, G. A., & Khan, M. A. (1996). Saturation Percentage as a Measure of Soil Texture in the Lower Indus Basin, Journal of SOU Sdence. 17 (1), 255-263.

6.McBratney, A. B., Mendonca Santos, M. L., & Minasny, B. (2003). On digital soil mapping. Geoderma, 117, 3-52.

7.Ma, Y. X., Minasny, B., Malone, B. P., & McBratney, A. B. (2019). Pedology and digital soil mapping (DSM). Eur. J. Soil Sci. 70, 216-235.

8.Padarian, J., Minasny, B., & McBratney, A. B. (2019). Using deep learning for digital soil mapping. Soil-Journal,
5, 79-89.

9.Taghizadeh-Mehrjardi, R., Emadi, M., Cherati, A., Heung, B., Mosavi, A., & Scholten, T. (2021). Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions. Remote Sens. 1-23.

10.Hasani Pak, A. A. (1998). Geostatistical. Tehran University Press. 180p [In Persian]

11.Li, J., & Heap, A. D. (2011). A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Ecological Informatics, 6 (3-4), 228-241.

12.Delbari, M., Loiskandl, W., & Afrasiab, P. (2010). Uncertainty assessment of soil organic carbon content spatial distribution using geostatistical stochastic simulation. Soil Res. 48, 27-35.

13.Selmy, S. A., Abd El-Aziz, S., El-Desoky, A., & El-Sayed, M. A. (2022). Characterizing, predicting, and mapping of soil spatial variability in Gharb El-Mawhoub area of Dakhla Oasis using geostatistics and GIS approaches. Journal of the Saudi Society of Agricultural Sciences, 21, 383-396.

14.Abdel‐Rahman, M. A., Zakarya, Y. M., Metwaly, M., & Koubouris, G. (2021). Deciphering Soil Spatial Variability through Geostatistics and Interpolation Techniques. Sustainability, 13, 194.

15.Fan, X., Weng, Y., & Tao, J. (2016). Towards decadal soil salinity mapping using Landsat time series data. International Journal of Applied Earth Observation and Geo information,52, 32-41.

16.Ninerola, V. B., Navarro-Pedreno, J., Gomez Lucas, I., Melendez Pastor, I., & Jordan Vida, M. (2017). Geostatistical assessment of soil salinity and cropping systems used as soil phytoremediation strategy. Journal of Geochemical Exploration, 174, 53-58.

17.Shahriari, M., Delbari, M., Afrasiab, P., & Pahlavan-Rad, M. R. (2019). Predicting regional spatial distribution of soil texture in floodplains using remote sensing data: A case of southeastern Iran. Catena, 182, 104-149. doi:10.1016/j.catena.2019.104149.

18.Zhang, Y., Ji, W., Saurette, D. D., Easher, T. H., Li, H., Shi, Z., Adamchuk, V. I., & Biswas, A. (2020). Three-dimensional digital soil mapping of multiple soil properties at a field-scale using regression kriging. Geoderma. 366, 114253.

19.Shi, W., & Zhang, M. (2023). Progress on spatial prediction methods for soil particle-size fractions. Journal of Geographical Sciences, 33, 1553-1566.

20.Tamiru, B., Soromessa, T., Warkineh, B., & Legese, G. (2023). Mapping Soil Parameters with Environmental Covariates and Land Cover Projection in Tropical Rainforest, Hangadi Watershed, Ethiopia. Sustainability, 15, 1066.

21.Heuvelink, G. B., Kros, J., Reinds, G. J., & Vries, W. D. (2016). Geostatistical prediction and simulation of European soil property maps. Geoderma Regional, 7, 201-215.

22.Amirian Chekan, A., Taghizadeh Mehrjerdi, R., Sarmadian, F., & Heidary, A. (2017). Three-dimensional mapping of soil texture using spline depth functions and artificial neural networks. Iranian Journal of Soil and Water Research, 48 (1), 113-123. [In Persian]

23.Emami, M., Khormali, F., Pahlavan-Rad, M. R., & Ebrahimi, S. (2024). Preparation of three-dimensional maps of soil particle size fraction by combining quantile regression forest algorithm and spline functions in the north of Golestan province. Iran, Iranian Journal of Soil and Water Research,55 (1), 51-68. https://doi.org/ 10.22059/ ijswr.2023.366978.669594. [In Persian]

24.Dharumarajan, S., & Hegde, R. (2020). Digital mapping of soil texture classes using Random Forest classification algorithm. Soil Use Manage. 2022; 38, 135-149.

25.Jamshidi, M., Delavar, M. A., Taghizadehe-Mehrjerdi, R., & Brungard, C. (2019). Evaluating Digital Soil Mapping Approaches for 3D Mapping of Soil Organic Carbon. Iranian Journal of Soil Research, 33 (2), 227-239. doi: 10.22092/ijsr.2019.119764. [In Persian]

26.Mousavi, S. R., Sarmadian, F., Omid, M. K., & Bogaert, P. (2022). Three-dimensional mapping of soil organic carbon using soil and environmental covariates in an arid and semi-arid region of Iran. Measurement, 201, 111706. https://doi.org/10.1016/j.measurement.2022.111706.

27.Filippi, P., Jones, E., & Bishop, T. F. (2020). Catchment-scale 3D mapping of depth to soil sodicity constraints through combining public and on-farm soil databases – A potential tool for on-farm management. Geoderma, 374, 114396.

28.Emami, M., Khormali, F., Pahlavan-Rad, M., & Ebrahimi, S. (2024). Digital modeling of surface and subsurface soil salinity in Golestan Province, Iran. Geoderma Regional, 37, e00800. https://doi.org/10.1016/j.geodrs.2024. e00800.

29.Zinck, J. A., Metternicht, G., Valle, H. F., & Angelini, M. (2023). Geopedology: An Integration of Geomorphology and Pedology for Soil and Landscape Studies. 2^nd edition. Springer Nature Switzerland. 582.

30.Heydari Nesab, M. (2016). The role of wind in the creation of wind landforms in the Sistan region, master's thesis in climatology, University of Sistan and Baluchistan. [In Persian]

31.Mirakzehi, K., Pahlavan-Rad, M. R., Shahriari, A., & Bameri, A. (2018). Digital soil mapping of deltaic soils: A case of study from Hirmand (Helmand) river delta. Geoderma, 313, 233-240.

32.Delbari, M., Afrasiab, P., Gharabaghi, B.,  Amiri, M., & Salehian, A. (2019). Spatial variability analysis and mapping of soil physical and chemical attributes in a salt-affected soil. Arabian Journal of Geosciences, 12 (3), 68-86. doi:10. 1007/s12517-018-4207-x.

33.Jamalzehi Samrah, Y. (2022). Three-dimensional spatial modeling texture components and saturation percentage of soil in the Sistan plain. MSc's thesis. Faculty of Water and Soil, University of Zabol. 186 p.

34.Bishop, T. F. A., McBratney, A. B., & Laslett, G. M. (1999). Modelling soil attribute depth functions with equal-area quadratic smoothing splines, Geoderma, 91, 27-45.

35.Malone, B. P., McBratney, A. B., Minasny, B., & Laslett, G. M. (2009). Mapping continuous depth functions of soil carbon storage and available water capacity. Geoderma, 154, 138-152.

36.Agbu, P., Fehrenbacher, D., & Jansen, I. J. (1990). Soil property relationships with SPOT satellite digital data in east central Illinois. Soil Sci. Soc. Am. J.  54, 807-812.

37.Ben-Dor, E., Chabrillat, S., Dematt, J., Taylor, G., Hill, J., Whiting, M., & Sommer, S. (2009). Using imaging spectroscopy to study soil properties. Remote Sens. Environ., 113 (1), 38-55. Imaging Spectroscopy Special Issue.

38.Aksoy, E., Panagos, P., & Montanarella, L. (2012). Spatial prediction of soil organic carbon of Crete by using geostatistics. In: Minasny, B., Malone, B. P., McBratney, A. B. (Eds.), Digital Soil Assessments and Beyond. CRC Press, London. 149-159.

39.Zeraatpisheh, M., Ayoubi, S., Jafari, A., Tajik, S., & Finke, P. (2019). Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran. Geoderma,338, 445-452.

40.Wei, Y., Ding, J., Yang, S., Yang, X., & Wang, F. (2021). Comparisons of random forest and stochastic gradient treeboost algorithms for mapping soil electrical conductivity with multiple subsets using Landsat OLI and DEM/GIS-based data at a type oasis in Xinjiang, China. European Journal of Remote Sensing., 54 (1), 158-181. doi:10.1080/22797254.2021.1888657.

41.Bameri, A., Khormali, F., Kiani, F.,
& Dehghani, A. A. (2015). Spatial variability of soil organic carbon in different hillslope positions in Toshan area, Golestan Province, Iran: Geostatistical approaches. Journal of Mountain Science, 12 (6), 1422-1433. doi:10.1007/s11629-014-3213-z.

42.Metinfar, H., Maqsoodi, Z., Mousavi, S., & Jalali, M. (2019). Evaluation of machine learning methods in digital organic carbon mapping of agricultural soils (part of Khorram Abad plain). Water and soil journal. 24 (4), 343-327. [In Persian]

43.Colombo, R., Bellingeri, D., FasoUni, D., & Marino, C. M. (2003). Retrieval of leaf area index in different vegetation types using high resolution satellite data. Remote Sens. Environ. 86 (1), 120-131. doi:10.1016/S0034- 4257(03)00094-4.

44.Lymburner, L., Beggs, P. J., & Jacobson, C. R. (2000). Estimation of canopy-average surface-specific leaf area using Landsat TM data. Photogramm. Eng. Remote Sens.66, 183-191.

45.Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sens Environ. 25, 295-309.

46.Xu, H. (2006). Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens. 27 (14), 3025-3033.

47.Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., & Ferreira, L. G. (2002). Overview of the raidometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ. 83, 195-213.

48.Boettinger, J. L., Ramsey, R. D., Bodily, J. M., Cole, N. J., Kienast-Brown, S., Nield, S. J., Saundes, A. M., & Stum,
A. K. (2008). Landsat spectral data for digital soil mapping. In: Hartemink, A. E., McBratney, A. B., Mendonca Santos, M. L. (Eds.), Digital Soil Mapping With Limited Data. Springer science, Australia. 193-203.

49.Rodiguez, F., Maire, E., Courjault-Rade, D., & Darrozes, J. (2002). The Black Top Hat fanction applied to a DEM: A toolto estimate recent incision in a mountainous water shed. Geophys. Res. Lett. 29, 91-94.

50.Boehner, J., & Selige, T. (2006). Spatial Prediction of soil Attibutes Using Terrain Analysis and Climate Regionalisation. In SAGA-Analysis and Modelling Application; Boehner, J., McCloy, K. R., Strobl, J., Eds., Geographisehe Abhandlungen: Goettinger, Germany. 13-27.

51.Hom, B. K. (1981). Hill shading and the relectance map. Proc. IEEE. 69, 14-47.

52.Karimi Nezhad, M. T., Tabatabaii, S. M., & Gholami, A. (2015). Geochemical assessment of steel smelter-impacted urban soils, Ahvaz, Iran. J. Geochem. Explor. 152, 91-109.

53.Gholamallizade Ahangar, A., Sarani, F., Hashemi, M., & shabani, A. (2015). Comparison of Linear Regression Methods, Geostatistical and Artificial Neural Network Modeling of Organic Carbonin Dry Land of Sistan Plain, Journal of Water and Soil. 6 (28), 1250-1260. [In Persian]

54.Hashemi, M., Gholamalizadeh Ahangar, A., Bameri, A., Sarani, F., & Hejazizadeh, A. (2016). Survey and Zoning of Soil Physical and Chemical Properties Using Geostatistical Methods in GIS (Case Study: Miankangi Region in Sistan), Journal of Water and Soil.30 (2), 443-458. [In Persian]

55.Jamalzehi Samareh, Y., Shahriari, A., Pahlavan Rad, M., Ziaei Javaid, A., & Bameri, A. (2021). Preparation of three-dimensional maps of the size of soil particles in the floodplain of Sistan. The seventeenth Iran Soil Science Congress and 4^th National Farm Water Management Conference, Soil and Water Research Institute, Karaj. [In Persian]

56.Cambardella, C. A., Moorman, T. B., Novak, J. M., Parkin, T. B., Karlen, D. L., Turco, R. F., & Konopka, A. E. (1994). Field-scale variability of soil properties in central Iowa soils. Soil Science Society of American Journal, 58, 1501-1511.

57.Yaghmaeian Mahabadi, N., Samiei, K., Zavvareh, M., & Ramezanpour, H. (2019). Spatial variation of some soil properties and their relationship to tea yield in Fouman region, Guilan. Applied Soil Research. 7 (2), 82-96. [In Persian]

58.Jiang, H. L., Liu, G. S., Liu, S. D., Li, E. H., Wang, R., Yang, Y. F., & Hu, H. C. (2012). Delineation of sitespecific management zones based on soil properties for a hillside field in central China. Archives of Agronomy and Soil Science, 58 (10), 1075-1090.

59.Marzvan, S., Asadi, H., & Davatgar, N. (2015). The effect of tillage management on spatial variation of some soil properties in steep lands. Journal of Soil Management and Sustainable Production, 5 (1), 97-111. [In Persian]

60.Jafarnia, S., & Akbarinia, M. (2014). Investigation of spatial distribution of soil and water properties by use of geostatistical in Mangrove forest of Qeshm Island. Iranian Journal of Forest and Poplar Research, 22 (4), 673-686.
[In Persian]

61.Vieira, S. R., & Paz Gonzalez, A. (2003). Analysis of the spatial variability of crop yield and soil properties in small agricultural plots. Bragantia. 62 (1), 127-138.

62.Pahlavan-Rad, M. R., & Akbarimoghaddam, A. (2018). Spatial variability of soil texture fractions and pH in a flood plain (case study from eastern Iran). Catena, 160, 275-281.

63.Taghizadeh Mehrjardi, R., Minasny, B., Sarmadian, F., & Malone, P. B. (2014). Digital mapping of soil salinity in Ardakan region, central Iran. Geoderma, 213, 15-28.

64.Akpa, S. I. C., Odeh, I. O. A., & Bishop, T. F. A. (2014). Digital mapping of soil particle-size fractions for Nigeria. Soil Science Society of America Journal, 78, 1953-1966.

65.Asadzadeh, F., Khosravi Aghdam, K., Zawareh, M., Yaghmaian Mahabadi, N., & Ramzanpour, H. (2017). Spatial changes of soil mineral particles using geostatistics and remote sensing for soil texture zoning. Water and Soil Journal (Agricultural Sciences and Industries), 32 (7), 1222-1207. [In Persian]

66.Behnam, V., Gholamalizadeh Ahangar, A., Rahmanian, M., & Bameri, A. (2019). Spatial Distribution of Some Physical and Chemical Properties of Soil using Geostatistic Methods (Case study: Zabol to Zahedan Route). Environment and Water Engineering, 5 (3), 251-263. [In Persian]

67.Owliaie, H., Salehi, A., & Zareian, G. (2024). Assessment of geostatistical models for zoning spatial distribution of some soil properties in Darengan region with different land uses, Fars province. Iranian Journal of Soil and Water Research, 55 (1), 97-116. [In Persian]