Search Results - "Geocarto international"

Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling by Georganos, Stefanos, Grippa, Tais, Niang Gadiaga, Assane, Linard, Catherine, Lennert, Moritz, Vanhuysse, Sabine, Mboga, Nicholus, Wolff, Eléonore, Kalogirou, Stamatis

“…Machine learning algorithms such as Random Forest (RF) are being increasingly applied on traditionally geographical topics such as population estimation. Even…”
Get full text

Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees by Abedi, Rahebeh, Costache, Romulus, Shafizadeh-Moghadam, Hossein, Pham, Quoc Bao

“…Historical exploration of flash flood events and producing flash-flood susceptibility maps are crucial steps for decision makers in disaster management. In…”
Get full text

GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia by Souissi, Dhekra, Zouhri, Lahcen, Hammami, Salma, Msaddek, Mohamed Haythem, Zghibi, Adel, Dlala, Mahmoud

“…Floods are considered as a major natural disaster due to their devastating effects that lead to socio-economic losses. The present study is an attempt to…”
Get full text

Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA) by Ahmadlou, M., Karimi, M., Alizadeh, S., Shirzadi, A., Parvinnejhad, D., Shahabi, H., Panahi, M.

“…This paper couples an adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-based computation methods namely biogeography-based optimization (BBO)…”
Get full text

A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers by Pham, Binh Thai, Prakash, Indra, Dou, Jie, Singh, Sushant K., Trinh, Phan Trong, Tran, Hieu Trung, Le, Tu Minh, Van Phong, Tran, Khoi, Dang Kim, Shirzadi, Ataollah, Bui, Dieu Tien

“…In the present study, Rotation Forest ensemble was integrated with different base classifiers to develop different hybrid models namely Rotation Forest based…”
Get full text

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea by Kim, Jeong-Cheol, Lee, Sunmin, Jung, Hyung-Sup, Lee, Saro

“…Landslides susceptibility maps were constructed in the Pyeong-Chang area, Korea, using the Random Forest and Boosted Tree models. Landslide locations were…”
Get full text

An interpretable model for the susceptibility of rainfall-induced shallow landslides based on SHAP and XGBoost by Zhou, Xinzhi, Wen, Haijia, Li, Ziwei, Zhang, Hui, Zhang, Wengang

“…The machine-learning "black box" models, which lack interpretability, have limited application in landslide susceptibility mapping. To interpret the black-box…”
Get full text

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran by Rahmati, Omid, Pourghasemi, Hamid Reza, Zeinivand, Hossein

“…Flood is one of the most devastating natural disasters with socio-economic and environmental consequences. Thus, comprehensive flood management is essential to…”
Get full text

Ensemble models of GLM, FDA, MARS, and RF for flood and erosion susceptibility mapping: a priority assessment of sub-basins by Mosavi, Amirhosein, Golshan, Mohammad, Janizadeh, Saeid, Choubin, Bahram, Melesse, Assefa M., Dineva, Adrienn A.

“…The mountainous watersheds are increasingly challenged with extreme erosions and devastating floods due to climate change and human interventions. Hazard…”
Get full text

Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers-a review of the state of the art by Pandey, Prem Chandra, Koutsias, Nikos, Petropoulos, George P., Srivastava, Prashant K., Ben Dor, Eyal

“…Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately connected to many phases of the human and physical environment. Earth…”
Get full text

Decision tree based ensemble machine learning approaches for landslide susceptibility mapping by Arabameri, Alireza, Chandra Pal, Subodh, Rezaie, Fatemeh, Chakrabortty, Rabin, Saha, Asish, Blaschke, Thomas, Di Napoli, Mariano, Ghorbanzadeh, Omid, Thi Ngo, Phuong Thao

“…The concept of leveraging the predictive capacity of predisposing factors for landslide susceptibility (LS) modeling has been continuously improved in recent…”
Get full text

Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential by Chen, Yunzhi, Chen, Wei, Chandra Pal, Subodh, Saha, Asish, Chowdhuri, Indrajit, Adeli, Behzad, Janizadeh, Saeid, Dineva, Adrienn A., Wang, Xiaojing, Mosavi, Amirhosein

“…Delineation of the groundwater's potential zones is a growing phenomenon worldwide due to the high demand for fresh groundwater. Therefore, the identification…”
Get full text

Novel ensemble machine learning models in flood susceptibility mapping by Prasad, Pankaj, Loveson, Victor Joseph, Das, Bappa, Kotha, Mahender

“…The research aims to propose the new ensemble models by combining the machine learning techniques, such as rotation forest (RF), nearest shrunken centroids…”
Get full text

Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping by Sahin, Emrehan Kutlug

“…The aim of the study is to compare four recent gradient boosting algorithms named as Gradient Boosting Machine (GBM), Categorical Boosting (CatBoost), Extreme…”
Get full text

Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon's entropy models by Arora, Aman, Pandey, Manish, Siddiqui, Masood Ahsan, Hong, Haoyuan, Mishra, Varun Narayan

“…This work focuses on comparing results of flood susceptibility modelling in the part of Middle Ganga Plain, Ganga foreland basin. Following inclusivity rule,…”
Get full text

An ensemble architecture of deep convolutional Segnet and Unet networks for building semantic segmentation from high-resolution aerial images by Abdollahi, Abolfazl, Pradhan, Biswajeet, Alamri, Abdullah M.

“…Building objects is one of the principal features that are essential for updating the geospatial database. Extracting building features from high-resolution…”
Get full text

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers by Pham, Binh Thai, Phong, Tran Van, Nguyen-Thoi, Trung, Parial, Kajori, K. Singh, Sushant, Ly, Hai-Bang, Nguyen, Kien Trung, Ho, Lanh Si, Le, Hiep Van, Prakash, Indra

“…In this study, we have developed five spatially explicit ensemble predictive machine learning models for the landslide susceptibility mapping of the Van Chan…”
Get full text

Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction by Saber, Mohamed, Boulmaiz, Tayeb, Guermoui, Mawloud, Abdrabo, Karim I., Kantoush, Sameh A., Sumi, Tetsuya, Boutaghane, Hamouda, Nohara, Daisuke, Mabrouk, Emad

“…This study presents two machine learning models, namely, the light gradient boosting machine (LightGBM) and categorical boosting (CatBoost), for the first time…”
Get full text

A new high resolution filter for source edge detection of potential field data by Pham, Luan Thanh, Eldosouky, Ahmed M., Oksum, Erdinc, Saada, Saada Ahmed

“…Determining the source edges is a frequently requested task in the analysis of potential fields. However, the edge detection methods have some drawbacks or…”
Get full text

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy by Hong, Haoyuan, Chen, Wei, Xu, Chong, Youssef, Ahmed M., Pradhan, Biswajeet, Tien Bui, Dieu

“…The main objective of the study was to evaluate and compare the overall performance of three methods, frequency ratio (FR), certainty factor (CF) and index of…”
Get full text