Search Results - "Catena (Giessen)"

Comparisons of heuristic, general statistical and machine learning models for landslide susceptibility prediction and mapping by Huang, Faming, Cao, Zhongshan, Guo, Jianfei, Jiang, Shui-Hua, Li, Shu, Guo, Zizheng

“…•Three types of data-based landslide susceptibility prediction (LSP) models are compared.•Machine learning has higher LSP accuracy than heuristic and general…”
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Effects of manure fertilizer on crop yield and soil properties in China: A meta-analysis by Du, Yadan, Cui, Bingjing, zhang, Qian, Wang, Zhen, Sun, Jun, Niu, Wenquan

“…•Manure application significantly increased crop yield by 7.6%.•Manure application in acidic soils, warm and humid climates can benefit crop yield.•Long-term…”
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Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment by Bui, Dieu Tien, Tsangaratos, Paraskevas, Nguyen, Viet-Tien, Liem, Ngo Van, Trinh, Phan Trong

“…[Display omitted] •Developing a Deep Learning Neural Model for landslide susceptibility modeling.•DLNN model outperformed MLP-NN, SVM, C4.5 and RF…”
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A spatially explicit deep learning neural network model for the prediction of landslide susceptibility by Dao, Dong Van, Jaafari, Abolfazl, Bayat, Mahmoud, Mafi-Gholami, Davood, Qi, Chongchong, Moayedi, Hossein, Phong, Tran Van, Ly, Hai-Bang, Le, Tien-Thinh, Trinh, Phan Trong, Luu, Chinh, Quoc, Nguyen Kim, Thanh, Bui Nhi, Pham, Binh Thai

“…[Display omitted] •Developing a deep learning neural network models for spatial prediction of landslides.•Comparing deep learning to three state-of-the-art…”
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Review on landslide susceptibility mapping using support vector machines by Huang, Yu, Zhao, Lu

“…Landslides are natural phenomena that can cause great loss of life and damage to property. A landslide susceptibility map is a useful tool to help with land…”
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Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) by Hong, Haoyuan, Liu, Junzhi, Bui, Dieu Tien, Pradhan, Biswajeet, Acharya, Tri Dev, Pham, Binh Thai, Zhu, A-Xing, Chen, Wei, Ahmad, Baharin Bin

“…Landslides are a manifestation of slope instability causing different kinds of damage affecting life and property. Therefore, high-performance-based landslide…”
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GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods by Chen, Xi, Chen, Wei

“…•Landslide modeling use optimized KLR with different kernel functions.•Optimization of factors using FR analysis and multicollinearity analysis.•Comparison of…”
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A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping by Bui, Dieu Tien, Ngo, Phuong-Thao Thi, Pham, Tien Dat, Jaafari, Abolfazl, Minh, Nguyen Quang, Hoa, Pham Viet, Samui, Pijush

“…Flash flood is a typical natural hazard that occurs within a short time with high flow velocities and is difficult to predict. In this study, we propose and…”
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Contamination characteristics, source apportionment, and health risk assessment of heavy metals in agricultural soil in the Hexi Corridor by Wang, Feifei, Guan, Qingyu, Tian, Jing, Lin, Jinkuo, Yang, Yanyan, Yang, Liqin, Pan, Ninghui

“…[Display omitted] •Geochemical baseline values of heavy metal in agricultural soil were evaluated.•The indexes of PI, EI and RI revealed that soil was…”
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Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility by Jaafari, Abolfazl, Panahi, Mahdi, Pham, Binh Thai, Shahabi, Himan, Bui, Dieu Tien, Rezaie, Fatemeh, Lee, Saro

“…Estimation of landslide susceptibility is still an ongoing requirement for land use management plans. Here, we proposed two novel intelligence hybrid models…”
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Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches by Pham, Binh Thai, Prakash, Indra, Singh, Sushant K., Shirzadi, Ataollah, Shahabi, Himan, Tran, Thi-Thu-Trang, Bui, Dieu Tien

“…Nowadays, a number of machine learning prediction methods are being applied in the field of landslide susceptibility modeling of the large area especially in…”
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GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models by Chen, Wei, Li, Yang

“…•Novel REPT-based ensemble techniques for landslide susceptibility modeling.•ROC and statistical measures were used for validation and comparison of the…”
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Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China by Sun, Lu, Guo, Dengkui, Liu, Ke, Meng, Hui, Zheng, Yuejun, Yuan, Fuqiang, Zhu, Ganghui

“…The concentrations, bioavailability, distribution, and sources of heavy metals in soils of a typical region from coal industrial city of Tangshan, North China,…”
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Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin by Bhatta, Binod, Shrestha, Sangam, Shrestha, Pallav K., Talchabhadel, Rocky

“…The water resources of Tamor River Basin in the eastern Himalayas of Nepal is heavily tapped for agricultural water use and hydropower production. Several…”
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Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region by Yi, Yaning, Zhang, Zhijie, Zhang, Wanchang, Jia, Huihui, Zhang, Jianqiang

“…•A CNN-based approach was applied to map the landslide susceptibility.•A novel multiscale sampling strategy was proposed to generate the training data.•Three…”
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Straw mulch as a sustainable solution to decrease runoff and erosion in glyphosate-treated clementine plantations in Eastern Spain. An assessment using rainfall simulation experiments by Keesstra, S.D., Rodrigo-Comino, J., Novara, A., Giménez-Morera, A., Pulido, M., Di Prima, S., Cerdà, A.

“…In many Mediterranean areas, citrus orchards exhibit high soil loss rates because of the expansion of drip irrigation that allows cultivation on sloping…”
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Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques by Mukherjee, Indrani, Singh, Umesh Kumar

“…[Display omitted] •Evaluated groundwater potentiality of a water scarce semi-arid region of east India.•Adopted AHP method to delineate the groundwater…”
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Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling by Chen, Wei, Panahi, Mahdi, Pourghasemi, Hamid Reza

“…This paper presents GIS-based new ensemble data mining techniques that involve an adaptive neuro-fuzzy inference system (ANGIS) with genetic algorithm,…”
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Flood susceptibility assessment using GIS-based support vector machine model with different kernel types by Tehrany, Mahyat Shafapour, Pradhan, Biswajeet, Mansor, Shattri, Ahmad, Noordin

“…Statistical learning theory is the basis of support vector machine (SVM) technique. This technique in natural hazard assessment is getting extremely popular…”
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Assessment of the impact of LUCC on NPP and its influencing factors in the Yangtze River basin, China by Yang, Hongfei, Zhong, Xuanning, Deng, Siqi, Xu, Hao

“…•Dynamics of vegetation coverage and its response to LUCC were explored.•The influence of LUCC on NPP in Yangtze River basin was assessed.•The relative…”
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