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A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping
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A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping

Geomatics Natural Hazards & Risk, 2016 Mar 3, Vol.7(2), pp.861-885 [Peer Reviewed Journal]

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A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)
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A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

Geomatics Natural Hazards & Risk, 2015, Vol.6(3), pp.243-271 [Peer Reviewed Journal]

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Rule-based semi-automated approach for the detection of landslides induced by 18 September 2011 Sikkim, Himalaya, earthquake using IRS LISS3 satellite images
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Rule-based semi-automated approach for the detection of landslides induced by 18 September 2011 Sikkim, Himalaya, earthquake using IRS LISS3 satellite images

Geomatics Natural Hazards & Risk, 2016 Jan 2, Vol.7(1), pp.326-344 [Peer Reviewed Journal]

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Semi-quantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City
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Semi-quantitative landslide risk assessment using GIS-based exposure analysis in Kuala Lumpur City

Geomatics Natural Hazards & Risk, 2017, Vol.8(2), pp.706-732 [Peer Reviewed Journal]

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Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images
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Sand dune risk assessment in Sabha region, Libya using Landsat 8, MODIS, and Google Earth Engine images

Geomatics Natural Hazards & Risk, 2018, Vol.9(1), pp.1280-1305 [Peer Reviewed Journal]

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Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)
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Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

Geomatics Natural Hazards & Risk, 2017, Vol.8(2), pp.544-569 [Peer Reviewed Journal]

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Automatic landslide detection using Dempster-Shafer theory from LiDAR-derived data and orthophotos
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Automatic landslide detection using Dempster-Shafer theory from LiDAR-derived data and orthophotos

Geomatics Natural Hazards & Risk, 2017, Vol.8(2), pp.1935-1954 [Peer Reviewed Journal]

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by this Author/Contributor:

  1. Biswajeet Pradhan
  2. Pradhan, B.
  3. Pradhan, Biswajeet
  4. Bui, Dt
  5. Bui, Dieu Tien

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