Search Results - "Geomorphology (Amsterdam, Netherlands)"

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  1. 1

    A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm by Sun, Deliang, Wen, Haijia, Wang, Danzhou, Xu, Jiahui

    Published in Geomorphology (Amsterdam, Netherlands) (01-08-2020)
    “…The choice of model parameters in landslide susceptibility mapping makes a major determinant of model accuracy. The purpose of this study is to optimize the…”
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    Journal Article
  2. 2

    Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia by Aditian, Aril, Kubota, Tetsuya, Shinohara, Yoshinori

    Published in Geomorphology (Amsterdam, Netherlands) (01-10-2018)
    “…This study aims to evaluate landslide causative factors in landslide susceptibility assessments and to compare landslide susceptibility models based on the…”
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  3. 3

    Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment by James, M.R., Robson, S., d'Oleire-Oltmanns, S., Niethammer, U.

    Published in Geomorphology (Amsterdam, Netherlands) (01-03-2017)
    “…Structure-from-motion (SfM) algorithms greatly facilitate the production of detailed topographic models from photographs collected using unmanned aerial…”
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  4. 4

    The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal by Roback, Kevin, Clark, Marin K., West, A. Joshua, Zekkos, Dimitrios, Li, Gen, Gallen, Sean F., Chamlagain, Deepak, Godt, Jonathan W.

    Published in Geomorphology (Amsterdam, Netherlands) (15-01-2018)
    “…Coseismic landslides pose immediate and prolonged hazards to mountainous communities, and provide a rare opportunity to study the effect of large earthquakes…”
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  5. 5

    ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications by Westoby, M.J., Brasington, J., Glasser, N.F., Hambrey, M.J., Reynolds, J.M.

    Published in Geomorphology (Amsterdam, Netherlands) (15-12-2012)
    “…High-resolution topographic surveying is traditionally associated with high capital and logistical costs, so that data acquisition is often passed on to…”
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  6. 6

    Regional rainfall-induced landslide hazard warning based on landslide susceptibility mapping and a critical rainfall threshold by Huang, Faming, Chen, Jiawu, Liu, Weiping, Huang, Jinsong, Hong, Haoyuan, Chen, Wei

    Published in Geomorphology (Amsterdam, Netherlands) (01-07-2022)
    “…Rainfall-induced landslide hazard warning, which refers to the prediction of the spatial-temporal probability of landslide occurrence in a certain area under…”
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  7. 7

    Flood risk assessment in the Kosi megafan using multi-criteria decision analysis: A hydro-geomorphic approach by Mishra, Kanchan, Sinha, Rajiv

    Published in Geomorphology (Amsterdam, Netherlands) (01-02-2020)
    “…•Flood risk assessment by estimating flood hazard and vulnerability separately in Kosi megafan region, India.•Use of multi-decision making criteria for flood…”
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  8. 8

    An evaluation of the effectiveness of low-cost UAVs and structure from motion for geomorphic change detection by Cook, Kristen L.

    Published in Geomorphology (Amsterdam, Netherlands) (01-02-2017)
    “…The measurement of topography and of topographic change is essential for the study of many geomorphic processes. In recent years, structure from motion (SfM)…”
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  9. 9

    Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models by Hong, Haoyuan, Pourghasemi, Hamid Reza, Pourtaghi, Zohre Sadat

    Published in Geomorphology (Amsterdam, Netherlands) (15-04-2016)
    “…Landslides are an important natural hazard that causes a great amount of damage around the world every year, especially during the rainy season. The Lianhua…”
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  10. 10

    Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques by Chen, Wei, Pourghasemi, Hamid Reza, Panahi, Mahdi, Kornejady, Aiding, Wang, Jiale, Xie, Xiaoshen, Cao, Shubo

    Published in Geomorphology (Amsterdam, Netherlands) (15-11-2017)
    “…The spatial prediction of landslide susceptibility is an important prerequisite for the analysis of landslide hazards and risks in any area. This research uses…”
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  11. 11

    Dynamic interactions between coastal storms and salt marshes: A review by Leonardi, Nicoletta, Carnacina, Iacopo, Donatelli, Carmine, Ganju, Neil Kamal, Plater, Andrew James, Schuerch, Mark, Temmerman, Stijn

    Published in Geomorphology (Amsterdam, Netherlands) (15-01-2018)
    “…This manuscript reviews the progresses made in the understanding of the dynamic interactions between coastal storms and salt marshes, including the dissipation…”
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  12. 12

    Increasing risks related to landslides from degrading permafrost into new lakes in de-glaciating mountain ranges by Haeberli, Wilfried, Schaub, Yvonne, Huggel, Christian

    Published in Geomorphology (Amsterdam, Netherlands) (15-09-2017)
    “…While glacier volumes in most cold mountain ranges rapidly decrease due to continued global warming, degradation of permafrost at altitudes above and below…”
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  13. 13

    A hybrid optimization method of factor screening predicated on GeoDetector and Random Forest for Landslide Susceptibility Mapping by Sun, Deliang, Shi, Shuxian, Wen, Haijia, Xu, Jiahui, Zhou, Xinzhi, Wu, Jianping

    Published in Geomorphology (Amsterdam, Netherlands) (15-04-2021)
    “…The aim of this study was to develop a hybrid model (Geo-RFE-RF) for Landslide Susceptibility Mapping (LSM) predicated on GeoDetector and Random Forest (RF)…”
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  14. 14

    Rainfall thresholds for possible landslide occurrence in Italy by Peruccacci, Silvia, Brunetti, Maria Teresa, Gariano, Stefano Luigi, Melillo, Massimo, Rossi, Mauro, Guzzetti, Fausto

    Published in Geomorphology (Amsterdam, Netherlands) (01-08-2017)
    “…The large physiographic variability and the abundance of landslide and rainfall data make Italy an ideal site to investigate variations in the rainfall…”
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  15. 15

    Spatial and temporal analysis of a global landslide catalog by Kirschbaum, Dalia, Stanley, Thomas, Zhou, Yaping

    Published in Geomorphology (Amsterdam, Netherlands) (15-11-2015)
    “…Landslide inventories are critical to support investigations of where and when landslides have happened and may occur in the future; however, there is…”
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  16. 16

    A meta-analysis of soil erosion rates across the world by García-Ruiz, José M., Beguería, Santiago, Nadal-Romero, Estela, González-Hidalgo, José C., Lana-Renault, Noemí, Sanjuán, Yasmina

    Published in Geomorphology (Amsterdam, Netherlands) (01-06-2015)
    “…Over the last century extraordinary efforts have been devoted to determining soil erosion rates (in units of mass per area and time) under a large range of…”
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  17. 17

    Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion by Rahmati, Omid, Tahmasebipour, Nasser, Haghizadeh, Ali, Pourghasemi, Hamid Reza, Feizizadeh, Bakhtiar

    Published in Geomorphology (Amsterdam, Netherlands) (01-12-2017)
    “…Gully erosion constitutes a serious problem for land degradation in a wide range of environments. The main objective of this research was to compare the…”
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  18. 18

    Landslide response to climate change in permafrost regions by Patton, Annette I., Rathburn, Sara L., Capps, Denny M.

    Published in Geomorphology (Amsterdam, Netherlands) (01-09-2019)
    “…Rapid permafrost thaw in the high-latitude and high-elevation areas increases hillslope susceptibility to landsliding by altering geotechnical properties of…”
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  19. 19

    Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees by Pham, Binh Thai, Prakash, Indra, Tien Bui, Dieu

    Published in Geomorphology (Amsterdam, Netherlands) (15-02-2018)
    “…A hybrid machine learning approach of Random Subspace (RSS) and Classification And Regression Trees (CART) is proposed to develop a model named RSSCART for…”
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  20. 20

    Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy) by Trigila, Alessandro, Iadanza, Carla, Esposito, Carlo, Scarascia-Mugnozza, Gabriele

    Published in Geomorphology (Amsterdam, Netherlands) (15-11-2015)
    “…The aim of this work is to define reliable susceptibility models for shallow landslides using Logistic Regression and Random Forests multivariate statistical…”
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