Ausgabe 4/2023
Inhalt (77 Artikel)
A comprehensive review of seismic inversion based on neural networks
Ming Li, Xue-song Yan, Ming-zhao Zhang
Leveraging GNSS tropospheric products for machine learning-based land subsidence prediction
Melika Tasan, Zahrasadat Ghorbaninasab, Saeid Haji-Aghajany, Alireza Ghiasvand
Land use and land cover classification using machine learning algorithms in google earth engine
Arpitha M, S A Ahmed, Harishnaika N
Correction to: Land use and land cover classification using machine learning algorithms in google earth engine
Arpitha M, S A Ahmed, N Harishnaika
Comparative study of machine learning algorithms in predicting asphaltene precipitation with a novel validation technique
Jafar Khalighi, Alexey Cheremisin
Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study
Xuan-Hien Le, Duc Hai Nguyen, Sungho Jung, Giha Lee
Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms
Okan Mert Katipoğlu, Metin Sarıgöl
Flash-flood susceptibility mapping: a novel credal decision tree-based ensemble approaches
Dingying Yang, Ting Zhang, Alireza Arabameri, M. Santosh, Ujwal Deep Saha, Aznarul Islam
Landslide susceptibility assessment in Qinzhou based on rough set and semi-supervised support vector machine
Chunfang Kong, Yu Li, Kun Dong, Yiping Tian, Kai Xu
pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation
Qiyu Chen, Ruihong Zhou, Cui Liu, Qianhong Huang, Zhesi Cui, Gang Liu
Mapping petrophysical properties with seismic inversion constrained by laboratory based rock physics model
Siddharth Garia, Arnab Kumar Pal, Shreya Katre, Satyabrata Nayak, K. Ravi, Archana M. Nair
Interpretable machine learning for predicting evaporation from Awash reservoirs, Ethiopia
Kidist Demessie Eshetu, Tena Alamirew, Tekalegn Ayele Woldesenbet
Prediction of groundwater level variations using deep learning methods and GMS numerical model
Siamak Amiri, Ahmad Rajabi, Saeid Shabanlou, Fariborz Yosefvand, Mohammad Ali Izadbakhsh
Arbitrary-oriented ship detection based on Kullback-Leibler divergence regression in remote sensing images
Yantong Chen, Jialiang Wang, Yanyan Zhang, Yang Liu
Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world’s largest sanctuary for Jaguars
Larissa M. P. Parra, Fabrícia C. Santos, Rogério G. Negri, Marilaine Colnago, Adriano Bressane, Maurício A. Dias, Wallace Casaca
A QGIS -plugin for gully erosion modeling
Saad Khan, Adel Omran, Dietrich Schröder, Christian Sommer, Volker Hochschild, Michael Märker
SA-VAE: a novel approach for reservoir characterization based on variational auto-encoder and selective attention mechanism
Dajie Chen, Qiyu Chen, Zhesi Cui, Ruyi Wang, Gang Liu
A general characterization of integrating and querying heterogeneous fuzzy spatiotemporal XML data
Lin Zhu, Jiahui Wang, Luyi Bai
Analyzing groundwater level with hybrid ANN and ANFIS using metaheuristic optimization
Thandra Jithendra, S. Sharief Basha
Multidimensional spatial autocorrelation analysis and it’s application based on improved Moran’s I
Ce Zhang, Wangyong Lv, Ping Zhang, Jiacheng Song
An autoencoder-based stacked LSTM transfer learning model for EC forecasting
Abdullahi Uwaisu Muhammad, Hamza Djigal, Tasiu Muazu, Jibril Muhammad Adam, Abdoul Fatakhou Ba, Umar Sani Dabai, Sani Tijjani, Muhammad Sabo Yahaya, Aliyu Ashiru, Umar Muhammad Mustapha Kumshe, Saddam Aliyu, Faruwa Ajibola Richard
A new approach to mechanical brittleness index modeling based on conventional well logs using hybrid algorithms
Milad Zamanzadeh Talkhouncheh, Shadfar Davoodi, Babak Larki, Mohammad Mehrad, Sina Rashidi, Maher Vasfi
Improving permeability prediction in carbonate reservoirs through gradient boosting hyperparameter tuning
Mohammed A. Abbas, Watheq J. Al-Mudhafar, David A. Wood
Soil respiration estimation in desertified mining areas based on UAV remote sensing and machine learning
Ying Liu, Jiaquan Lin, Hui Yue
Mapping mining waste and identification of acid mine drainage within an active mining area through sub-pixel analysis on OLI and Sentinel-2
Mahdieh Hosseinjanizadeh, Mehdi Khorasanipour, Mehdi Honarmand
Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Shichao Wang, Xiaoge Yu, Yan Li, Shujun Wang, Can Meng
Roughness Estimation of Multi-Scale Rock Joints based on SfM & MVS Photogrammetry with A DSLR Camera in Animation Mode
Yunfeng Ge, Kaili Chen, Geng Liu, Huiming Tang, Qian Chen, Weixiang Chen, Zhiguo Xie
Wildfire susceptibility prediction using a multisource and spatiotemporal cooperative approach
Jiehang Deng, Weiming Wang, Guosheng Gu, Zhiqiang Chen, Jing Liu, Guobo Xie, Shaowei Weng, Lei Ding, Chuan Li
Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach
Nasiya Alifah Utami, Arie Wahyu Wijayanto, Setia Pramana, Erni Tri Astuti
Calibration and uncertainty analysis of integrated SWAT-MODFLOW model based on iterative ensemble smoother method for watershed scale river-aquifer interactions assessment
Bisrat Ayalew Yifru, Seoro Lee, Kyoung Jae Lim
EQAFR: an energy and QoS aware fuzzy routing for internet of underwater things using SDN
Reza Mohammadi, Amin Nazari, Hatam Abdoli, Mohammad Nassiri
Artificial neural networks for predicting soil water retention data of various Brazilian soils
Lucas Broseghini Totola, Kátia Vanessa Bicalho, Wilian Hiroshi Hisatugu
Investigating hybrid deep learning models and meta-heuristic algorithms in predicting evaporation from a reservoir: a case study of Dez dam
Reza Farzad, Farshad Ahmadi, Ahmad Sharafati, Seyed Abbas Hosseini
New approaches to improve nearest neighbors (NN) search in ionospheric simulation system
Telmo dos Santos Klipp, Adriano Petry, Rhauani Weber Aita Fazul, Lucas Ferreira da Silva, Iago da Cunha Corrêa, Andrea Schwertner Charão, André Grahl Pereira
CnGeoPLM: Contextual knowledge selection and embedding with pretrained language representation model for the geoscience domain
Kai Ma, Shuai Zheng, Miao Tian, Qinjun Qiu, Yongjian Tan, Xinxin Hu, HaiYan Li, Zhong Xie
A long-term regional variability analysis of wintertime temperature and its deep learning aspects
Saurabh Singh, R. Bhatla, Palash Sinha, Manas Pant
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest
Kwanele Phinzi, Njoya Silas Ngetar, Quoc Bao Pham, Gashaw Gismu Chakilu, Szilárd Szabó
Spectral-spatial dynamic graph convolutional network for hyperspectral image classification
Rong Chen, Guanghui Li, Chenglong Dai
Application of artificial neural network to screen out the dominant meteorological parameters for prediction of air temperature
Ankit Kumar, Suresh Pandian Elumalai
Machine learning models to complete rainfall time series databases affected by missing or anomalous data
Andrea Lupi, Marco Luppichini, Michele Barsanti, Monica Bini, Roberto Giannecchini
Classification of invasive tree species based on the seasonal dynamics of the spectral characteristics of their leaves
Pavel A. Dmitriev, Boris L. Kozlovsky, Anastasiya A. Dmitrieva, Tatiana V. Varduni
Evaluation of vertical accuracy of open access DEMs across different physiographic regions and river basins of Nepal
Saroj Karki, Suchana Acharya, Ashok Raj Gautam
Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data
Parastoo Amirzehni, Saeed Samadianfard, AmirHossein Nazemi, AliAshraf Sadraddini
Spatial relationship of Remote Sensing Ecological Indicator (RSEI) and landscape metrics under urban development intensification
Nazanin Naseri, Raoof Mostafazadeh
Exploring soil property spatial patterns in a small grazed catchment using machine learning
Jesús Barrena-González, V. Anthony Gabourel-Landaverde, Jorge Mora, J. Francisco Lavado Contador, Manuel Pulido Fernández
Estimating soil–water characteristic curve (SWCC) using machine learning and soil micro-porosity analysis
Aida Bakhshi, Parisa Alamdari, Ahmad Heidari, Mohmmad Hossein Mohammadi
Impact of segmentation algorithms on multisensor LULC classification in a semiarid Mediterranean area
Carmen Valdivieso-Ros, Francisco Alonso-Sarría, Francisco Gomariz-Castillo
A hybrid of RainNet and genetic algorithm in nowcasting prediction
Tran Thi Ngan, Ha Gia Son, Michael Omar, Nguyen Truong Thang, Nguyen Long Giang, Tran Manh Tuan, Nguyen Anh Tho
Exploring hybrid models for forecasting emissions in drought-prone Somalia: a comparative analysis
Omer Mohamed Egeh, Christophe Chesneau, Abdisalam Hassan Muse
Integrating watershed segmentation algorithm and supervised Bayesian classification for the assessment of petrophysical parameters, pore properties, and lithofacies: a case study from Abadan Plain, SW Iran
Hamed Ghanbarnejad Moghanloo, Mohammad Ali Riahi
Novel residual hybrid machine learning for solar activity prediction in smart cities
Rabiu Aliyu Abdulkadir, Mohammad Kamrul Hasan, Shayla Islam, Thippa Reddy Gadekallu, Bishwajeet Pandey, Nurhizam Safie, Mikael Syväjärvi, Mohamed Nasor
Impact of land cover classes on surface temperature in the vicinity of urban lakes and vegetation patches: A non-parametric regression analysis over decadal data
Asha Dhole, Rakesh Kadaverugu, Sagar Tomar, Rajesh Biniwale, Asheesh Sharma
Nearshore significant wave height prediction based on MIC-LSTM model
Yan Li, Xue Qin, Daoheng Zhu
Coastal vulnerability assessment using the machine learning tree-based algorithms modeling in the north coast of Java, Indonesia
Fajar Yulianto, Mardi Wibowo, Ardila Yananto, Dhedy Husada Fadjar Perdana, Edwin Adi Wiguna, Yudhi Prabowo, Nurkhalis Rahili, Amalia Nurwijayanti, Marindah Yulia Iswari, Esti Ratnasari, Amien Rusdiutomo, Sapto Nugroho, Andan Sigit Purwoko, Hilmi Aziz, Imam Fachrudin
A study of non-landslide samples and weights for mapping landslide susceptibility using regression and clustering methods
Thanh Trinh, Binh Thanh Luu, Duong Huy Nguyen, Trang Ha Thi Le, Son Van Pham, Nhung VuongThi
Deep learning based landslide detection using open-source resources: Opportunities and challenges
Suvam Das, Priyanka Sharma, Anindya Pain, Debi Prasanna Kanungo, Shantanu Sarkar
Enhanced streamflow prediction using SWAT’s influential parameters: a comparative analysis of PCA-MLR and XGBoost models
Yamini Priya R, Manjula R
A novel method for estimating daily evapotranspiration based on one, two, and three-day meteorological records using the long short-term memory model combined with feedforward neural networks
Milad Sharafi, Hamed Talebi, Saeed Samadianfard, Ramendra Prasad
The discrimination of tectonic settings using trace elements in magmatic zircons: A machine learning approach
Luyuan Wang, Chao Zhang, Rui Geng, Yuqi Li, Jijie Song, Bin Wang, Fanghua Cui
Prediction of compressive strength of granite: use of machine learning techniques and intelligent system
Zhi Yu, Jian Zhou, Liuqing Hu
Machine learning approaches for prediction of the bearing capacity of ring foundations on rock masses
Divesh Ranjan Kumar, Pijush Samui, Warit Wipulanusat, Suraparb Keawsawasvong, Kongtawan Sangjinda, Wittaya Jitchaijaroen
Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers
Ayyub Alzahem, Wadii Boulila, Anis Koubaa, Zahid Khan, Ibrahim Alturki
Engineering Applications of Urban Green Space Planning in Mountainous Areas: An Improved Structure-based RS Land Class Information Extraction Method for U-Net Networks
Yafeng Li, Yongzhi Yang, Xiaoyun Yan, Yingjie Li
A mathematical model for temperature-reducing potential of urban greenspaces
Akanksha Sangwan, Sudesh Choudhary, Vijay Anand, Nand Kumar, Ashwani Kumar, Mahesh Kumar Jat, Rayees Ahmed
Mapping and analysing framework for extreme precipitation-induced flooding
Vikas Kumar Rana, Nguyen Thi Thuy Linh, Pakorn Ditthakit, Ismail Elkhrachy, Trinh Trong Nguyen, Nguyet-Minh Nguyen
Estimation of loss on ignition values of the magnesite minerals using robust multiple regression
Sinan Akıska, Elif Akıska, Yeşim Güney
Anomaly detection method for TBM construction based on improved VMD-XGBoost-BILSTM combined model
Zhipeng Lu, Kebin Shi
A novel feature fusion-based stratum image recognition method for drilling rig
Zhengyan Wu, Jilin He, Chao Huang, Renshan Yao
Use of neural network as a support tool in water level forecasting and issuing flash floods early warnings to three small Brazilian urban watersheds
Glauston R. T. de Lima, Rochane de Oliveira Caran, Luiz Ferreira de Aguiar Filho
WRF-MOSIT: a modular and cross-platform tool for configuring and installing the WRF model
William Hatheway, Hosni Snoun, Haseeb ur Rehman, Anthony Mwanthi