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@ARTICLE{Mohamadi:1026327,
      author       = {Mohamadi, Panah and Ahmadi, Abbas and Feizizadeh, Bakhtiar
                      and Jafarzadeh, Ali Asghar and Rahmati, Mehdi},
      title        = {{U}tilizing the conventional, object-oriented and
                      pixel-based techniques to estimate erosion and sediment
                      yield by {MPSIAC} model},
      journal      = {Journal of Soil Science Society of Iran},
      volume       = {1},
      number       = {1},
      reportid     = {FZJ-2024-03378},
      pages        = {113-124},
      year         = {2022},
      abstract     = {Soil erosion and sediment yield in the downstream areas,
                      water transfer canals, and dams are the most serious
                      problems in the world today. Soil erosion threatens soil
                      resources, causes severe damage to infrastructures, and
                      imposes high costs on agriculture, watershed management, and
                      natural resources. Reducing these hazards and damages due to
                      soil erosion and sediment yield requires the use of
                      quantitative data to identify critical areas that require
                      immediate protection. Due to the high cost and time
                      consuming of conventional methods, the use of new remote
                      sensing technologies and satellite imagery is essential.
                      This study used the MPSIAC model, one of the most well-known
                      models for estimating soil erosion and sediment yield in
                      Iran, geographical information system (GIS), and satellite
                      image processing with object-oriented and pixel-based
                      methods. For this purpose, basic data were prepared using
                      base maps, Sentinel-2 satellite imagery, meteorological and
                      hydrometric data, and fieldwork. After establishing a
                      database, the score for each of the nine factors of the
                      MPSIAC model was determined using the three common,
                      object-oriented, and pixel-based processing methods. The
                      extent of soil erosion and sediment yield of the watershed
                      was determined within each hydrologic unit. Based on the
                      results, the soil erosion and sediment yield intensities of
                      the Lighvan watershed were classified as medium class (III).
                      However, the comparison of the specific soil erosion and
                      sediment yield values obtained from the three methods showed
                      that the use of object-oriented methods in determining the
                      values for land cover, land use, and current soil erosion
                      state increased the accuracy of the predictions (with the
                      estimated error of $12.18\%$ and $13.15\%$ for sediment
                      yield and erosion, respectively) compared to common (with
                      the estimated error of $15.73\%$ and $16.71\%)$ and
                      pixel-based (with the estimated error of $18.78\%$ and
                      $19.45\%)$ methods.},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.47176/jsssi.01.01.1020},
      url          = {https://juser.fz-juelich.de/record/1026327},
}