Digital Mapping of Topsoil Salinity Using Remote Sensing Indices in Agh-Ghala Plain, Iran

سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 113

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شناسه ملی سند علمی:

JR_ECOPER-5-2_004

تاریخ نمایه سازی: 2 دی 1403

چکیده مقاله:

Background: Soil salinization is a world-wide land degradation process in arid and semi-arid regions that leads to sever economic and social consequences. Materials and Methods: We analyzed soil salinity by two statistical linear (multiple linear regression) and non-linear (artificial neural network) models using Landsat OLI data in Agh-Ghala plain located in north east of Iran. In situ soil electrical conductivity (EC) of ۱۵۶ topsoil samples (depth of ۰-۱۵cm) was also determined. A Pearson correlation between ۲۶ spectral indices derived from Landsat OLI data and in situ measured ECs was used to apply efficient indices in assessing soil salinity. The best correlated indices such as blue, green and red bands, intensity indices (Int۱, Int۲), soil salinity indices (Si۱, Si۲, Si۳, Si۱۱, Aster-Si), vegetation Indices (NDVI, DVI, RVI, SAVI), greenness and wetness indices were used to develop two models. Results: Comparison between two estimation models showed that the performance of ANN model (R۲=۰.۹۶۴ and RMSE=۲.۲۳۷) was more reliable than that of MLR model (R۲=۰.۵۰۶ and RMSE=۹.۶۷۴) in monitoring and predicting soil salinity. Out of the total area, ۶۶% and ۵۵.۸% was identified as non-saline, slightly and very slightly saline for ANN and MLR models, respectively. Conclusions: This shows that remote sensing data can be effectively used to model and map spatial variations of soil salinity.

نویسندگان

Seyedeh Zohreh Mousavi

Ph.D Student of Watershed Engineering, Faculty of Natural Resources, Sari University of Agricultural Science and Natural Resources, Sari, Iran

Mahmood Habibnejad

Professor of Watershed Engineering, Faculty of Natural Resources, Sari University of Agricultural Science and Natural Resources, Sari, Iran

Ataollah Kavian

Associate Professor of Watershed Engineering, Faculty of Natural Resources, Sari University of Agricultural Science and Natural Resources, Sari, Iran

Karim Solaimani

Professor of Watershed Engineering, Faculty of Natural Resources, Sari University of Agricultural Science and Natural Resources, Sari, Iran

Farhad Khormali

Professor of Pedology, Faculty of Water and Soil Engineering, Gorgan University of Agricultural Science and Natural Resources, Gorgan, Iran

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  • Akramkhanov A, Vlek PLG. The assessment of spatial distribution of ...
  • Allbed A, Kumar L, Sinha P. Mapping and Modelling Spatial ...
  • Amini M, Afyuni M, Fathianpourb N, Khademi H, Fluchler H. ...
  • Aquastat. FAO's Information System onWater and Agriculture. ۲۰۱۶ [WWWDocument] ...
  • Asfaw E, Suryabhagavan KV, Argaw M. Soil salinity modeling and ...
  • Baret F, Guyot G. Potentials and limits of vegetation induces ...
  • Bierwirth PN, Brodie RS. Gama-ray remote sensing of Aeolian salt ...
  • Bihamta MR, Zare-Chahouki A. Principales of statistics for the natural ...
  • Buaziz M, Matschullat J, Gloaguen R. Improve remote sensing detection ...
  • Cai S, Zhang R, Liu L, Zhou DA. Method of ...
  • Chang YM, Chang LC, Chang FJ. Comparison of static feedforward ...
  • Chuangye S, Hangxu R, Chong H. Estimating soil salinity in ...
  • Clevers JGPW. The derivation of a simplified reflectance model for ...
  • Clevers JGPW. The application of a weighted infrared vegetation index ...
  • Colombani N, Mastrocicco M, Giambastiani BMS. Predicting salinization trends in ...
  • Daliakopoulos IN,Tsanis IK, Koutroulis A, Kourglalas NN, Varouchakis AE, The ...
  • Demuth H, BealeM. Neural Network Toolbox for use with MatLab.User's ...
  • Douaoui AEK, Nicolas H, Walteer Ch. Detecting salinity hazards within ...
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  • Farifteh J, Farshad A, George RJ, Assessing salt-affected soils using ...
  • Farifteh J, Vander MF, Atzberger C, Carranza EJM. Quantitative analysis ...
  • Fernandez-Buces N, Siebe C, Cram S, Palacio JL. Mapping soil ...
  • Ghassemi F, Jakeman AJ, Nix HA. Salinization of Land and ...
  • Goldshleger N, Chudnovsky A, Ben-BinyaminR. Predicting salinity in tomato using ...
  • Gorji T, Sertel E, Tanik A. Manitoring soil salinity via ...
  • Haykin S. Neural networks: A comprehensive foundation. ۲nd ed. New ...
  • Huete AR, Jackson RD, Post DF. Spectral response of a ...
  • Irons JR, Dwyer JL, Barsi JA. The next Landsat satellite: ...
  • JafariHaghighi M. Methods for soil analysis. Tehran: NedayeZoha; ۲۰۰۳. (In ...
  • Khan NM, Rastoskuev VV, Shalina E, Sato Y. Mapping salt-affected ...
  • LiD J, Man-chun W, Tivip T. Study on soil salinization ...
  • Li S, Chen X. A new bare-soil index for rapid ...
  • Metternicht GI. Categorical fuzziness: a comparison between crisp and fuzzyclassboundarymodelling ...
  • Metternicht GI, Zinck JA. Remote sensing of soil salinity: potentials ...
  • Noroozi AA, Homaee M, Farshad A. Integrated application of remote ...
  • Qu YH, Duan XL, Gao HY, Chen AP, An YQ, ...
  • Rengasamy P. World salinization with emphasis on Australia. J Exp ...
  • Richardson AJ, Wiegand CL. Distinguishing vegetation from soil background information. ...
  • Rouse JW, Haas RH, Schelle JA, Deering DW, Harlan JC. ...
  • Shoshany M, Goldshleger N,Chudnovsky A. Monitoring of agricultural soil degradation ...
  • Sidik A, Zhao Sh, Wen Y. Estimating soil salinity in ...
  • Soil and water research Institute, Study improvement of irrigation, drainage ...
  • Taghizadeh-Mehrjardi R, Minasny B, Sarmadian F, Malone BP, Digital soil ...
  • Taghizadeh-Mehrjardi R, Sarmadian F, Savaghebi Gh, Omid M, Toomanian N, ...
  • Tajgardan T, Ayoubi Sh, Shataii Sh, Khormali F. Mapping soil ...
  • Tomasella J, Hodnett MG, Rossato L. Pedotransfer functions for the ...
  • Urquhart EA, Zaitchik BF, Hoffiman MJ, Guikema, SD, Geiger EF. ...
  • Van Beek CL, TóthG. (Eds.), Risk Assessment Methodologies of Soil ...
  • Weng YL, Gong P, Zhu ZL. A spectral indexfor estimating ...
  • Wijaya A, Liesenberg V, Gloaguen R. Retrieval of forest attributesin ...
  • Wilding LP. Spatial variability: Its documentation, accommodation, and implication to ...
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