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Earth Science Informatics

Ausgabe 1/2025

Inhalt (179 Artikel)

Predicting PM2.5 levels over Indian metropolitan cities using Recurrent Neural Networks

  • Research

Amitabha Govande, Raju Attada, Krishna Kumar Shukla

Deep learning approaches for short-crop reference evapotranspiration estimation: a case study in Southeastern Australia

  • Research

Uaktho Baishnab, Md. Sahadat Hossen Sajib, Ashraful Islam, Shangida Akter, Atik Hasan, Tonmoy Roy, Pobithra Das

Developing long short-term memory combined with numerical first order differential optimization and clockwork recurrent neural network to predict suspended sediment load

  • Research

Milad Sharafi, Sadra Shadkani, Amirreza Pak, Alireza Motadayen, Saeed Samadianfard, Egemen Aras, Vahid Nourani

Application of machine learning and deep learning for predicting groundwater levels in the West Coast Aquifer System, South Africa

  • Open Access
  • Review

Ndubuisi Igwebuike, Moyinoluwa Ajayi, Chukwuma Okolie, Thokozani Kanyerere, Todd Halihan

Enhanced prediction of copper-polymetallic deposits in the Kalatag mining district using integrated SVM and GIS technology

  • Research

Wei Xi, YuanYe Ping, JinTao Tao, XiaoYan Ye, MingRui Fu, YaWen Zhang, MiaoMiao Xie

Estimation of flow resistance in natural rivers based on deep forest

  • Research

Runyi Yang, Yang Peng, Hongwu Zhang, Chenyang Ji

Data mining techniques for LULC analysis using sparse labels and multisource data integration for the hilly terrain of Nilgiris district, Tamil Nadu, India

  • Research

Ramalingam Kumaraperumal, Moorthi Nivas Raj, Sellaperumal Pazhanivelan, M. Jagadesh, Duraisamy Selvi, Dhanaraju Muthumanickam, Ramasamy Jagadeeswaran, A. Karthikkumar, S. Kamalesh Kanna

Siamese-LSTM: A predictive model for predicting green space of a location through historical image analysis

  • Research

Maliha Zerin, Alisha Kabir, M N Alam Siddiqui, Tasmiah Tamzid Anannya

Assessment of soil classification using soft computing approaches for Erenler (Afyonkarahisar) region

  • Research

Sami Serkan İşoğlu, Ahmet Yıldız, Mahmut Mutlutürk, Enes Cengiz

Deep learning in the advanced core sample porosity determination with XCT image

  • Open Access
  • RESEARCH

Hung-Yu Wu, Ching-Li Kuo, Chen-Yi Lin, Wei-Ta Chu

Regional monthly rainfall prediction based on CEEMDAN-SSA-BiLSTM coupled modeling

  • Research

Xianqi Zhang, He Ren, Jiawen Liu, Yike Liu, Kaiwei Yan

GNSS-A observation model with attached oceanic slowness gradient

  • RESEARCH

Kaiming Wang, Shuqiang Xue, Zhen Xiao, Shuang Zhao, Jixing Zhu

Flash flood susceptibility modeling using optimized deep learning method in the Uttarakhand Himalayas

  • Research

Mohd Rihan, Javed Mallick, Intejar Ansari, Md Rejaul Islam, Hoang Thi Hang, Shahfahad, Atiqur Rahman

Predicting river sediment deposition using machine learning and InVEST-SDR modeling- A hydro electric perspective

  • Research

Aryan Tyagi, Sagar Tomar, Kishor S. Kulkarni, Shilpa Sharma, Alisha Raut, Sumit Malwal

High-accuracy slope stability analysis using data-driven and attention-based deep learning model

  • RESEARCH

Yangli Zhou, Haiying Fu, Mingzhe Zhou, Yanyan Zhao, Jihuan Chen

A singular spectrum analysis-enhanced BiTCN-selfattention model for runoff prediction

  • RESEARCH

Wen-chuan Wang, Feng-rui Ye, Yi-yang Wang, Miao Gu

Lake depth inversion based on UAV and Sentinel-2 data

  • Research

Ying Liu, Zhixiong Wang, Xiaomei Kou, Yongxiang Cao, Hui Yue

Detection of flood-affected areas using multitemporal remote sensing data: a machine learning approach

  • Research

Robert Kurniawan, Imam Sujono, Wahyu Caesarendra, Bahrul Ilmi Nasution, Prana Ugiana Gio

A domain-decomposition-based parallel approach for 3D geological modeling using radial basis functions interpolation on GPUs

  • RESEARCH

Hong Li, Huizhu Ni, Jinming Fu, Bo Wan, Deping Chu, Fang Fang, Run Wang, Guoxi Ma, Xin Zhou

Groundwater modelling and GIS-based vulnerability mapping coupled with evolutionary metaheuristic optimization in the eastern coast of Saudi Arabia

  • Research

Sani I. Abba, Mohammed Benaafi, A. G. Usman, Dilber Uzun Ozsahin, Bassam Tawabini, Isam H. Aljundi

Evaluating P-Wave detection algorithms for earthquake early warning: insights from GeoNet data in Canterbury, Aotearoa New Zealand

  • Research

Chanthujan Chandrakumar, Marion Lara Tan, Caroline Holden, Max T. Stephens, Raj Prasanna

Porosity prediction using bagging ensemble machine learning in CCUS reservoirs. A case study: Darling Basin, Australia

  • RESEARCH

Kushan Sandunil, Ziad Bennour, Saaveethya Sivakumar, Hisham Ben Mahmud, Ausama Giwelli

Segmentation of crack disaster images based on feature extraction enhancement and multi-scale fusion

  • Research

Letian Wang, Gengkun Wu, Akpedje Ingrid Hermilda C F Tossou, Zengwei Liang, Jie Xu

Climate-vegetation intersection in determining the burn rate in an area of the Brazilian Cerrado

  • RESEARCH

Jonathan da Rocha Miranda, Ronie Silva Juvanhol, Rosane Gomes da Silva, Marcilene Soares do Nascimento, Juliana Fernandes da Silva

Changes in remotely sensed Forel-Ule Index for the coastal seas of Japan, 2013–2023

  • Research

Linye Zhu, Xiaoyi Jiang, Longfei Zhao, Hui Qu, Wenbin Sun, Haibo Ban

The effect of mineralogical, mechanical, physical, and dynamic properties on rock brittleness using statistical and soft computing methods

  • RESEARCH

Cairui Xu, Xinyu Zhang, Jiuhong Yu, Kang Hou, Ahmad Rastegarnia, Sajjad Gholipour

Undrained stability of wide rectangular subsea tunnels using finite element limit analysis and multivariate adaptive regression splines

  • Research

Amir Hossein Shafiee, Amir Reza Neamani, Alireza Eskandarinejad, Rahil Hosseini, Ali Gholami

DPMFformer: an underwater image enhancement network based on deep pooling and multi-scale fusion transformer

  • Research

Dan Xiang, Wenlei Yang, Zebin Zhou, Jinwen Zhang, Jianxin Li, Jian Ouyang, Jing Ling

Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam

  • Research

Nhat-Duc Hoang, Phu Anh Huy Pham, Thanh Canh Huynh, Minh-Tu Cao, Dieu-Tien Bui

Hyperspectral image classification with embedded linear vision transformer

  • RESEARCH

Yunfei Tan, Ming Li, Longfa Yuan, Chaoshan Shi, Yonghang Luo, Guihao Wen

Acoustic impedance prediction using an attention-based dual-branch double-inversion network

  • Methodology

Wen Feng, Yingtian Liu, Yong Li, Huating Li, Xiaowen Wang

Research on flood peak prediction in the three gorges region based on similarity search with multisource information fusion

  • RESEARCH

Xiaopeng Wang, Jie Zhao, Fanwei Meng, Biqiong Wu, Hui Cao, Hongpeng Hua, Yuan Yao

AI-driven environmental monitoring for hydroponic agriculture: ExCNN-LFCP approach

  • RESEARCH

S. Senthil Pandi, A. K. Reshmy, D. Elangovan, J. Vellingiri

Comparison of kriging methods in rainfall estimation based on entropy-copula (case study: Simineh river, lake Urmia Basin, Iran)

  • Research

Seyed Mostafa Tabatabaei, Mehdi Dastourani, Saeid Eslamian, Mohammad Nazeri Tahroudi

Modified MobileNet with leaky ReLU and LSTM with balancing technique to classify the soil types

  • Research

Kamini G. Panchbhai, Madhusudan G. Lanjewar, Aditi Venkatesh Naik

Development of deep learning approaches for drought forecasting: a comparative study in a cold and semi-arid region

  • RESEARCH

Amin Gharehbaghi, Redvan Ghasemlounia, Babak Vaheddoost, Farshad Ahmadi

Enhancing breakout identification in geomechanical modeling: using fullset logs with machine learning in carbonate reservoirs

  • Research

Mohammad Ali Davari, Mohsen Ezati, Farshad Jafarizadeh, Mohammadhossein Motamedi

A knowledge-driven modeling formalism for automatic structural interpretation

  • Methodology

Imadeddine Laouici, Gautier Laurent, Christelle Loiselet, Yannick Branquet

Construction of a predictive model of shovel productivity applying machine learning algorithms

  • Research

Victor Juarez Racchumi, Jimmy Aurelio Rosales Huamani, Jose Luis Castillo Sequera

Accuracy and interpretability of machine learning-based approaches for daily ETo estimation under semi-arid climate in the West African Sahel

  • REVIEW

Roland Yonaba, Arsène Kiema, Fowé Tazen, Axel Belemtougri, Mansourou Cissé, Lawani Adjadi Mounirou, Ansoumana Bodian, Mahamadou Koïta, Harouna Karambiri

Modelling radium equivalent activity from 226Ra, 232Th, and 40K series of recycled waste materials: Analytical and artificial intelligence approaches

  • Research

Solomon Oyebisi, Mahaad Issa Shammas, P. Jagadesh, Hilary Owamah, Miracle Olanrewaju Oyewola

Comparative analysis of machine learning and deep learning methods for coastal erosion susceptibility mapping

  • RESEARCH

Tran Van Phong, Phan Trong Trinh, Bui Nhi Thanh, Le Van Hiep, Binh Thai Pham

FloPy for optimizing the structure of hydraulic-driven groundwater circulation wells

  • Methodology

Zhang Fang, Zhiguo Liu, Guowen Wang, Muhammad Sadam

Classification forecasting research of rock burst intensity based on the BO-XGBoost-Cloud model

  • RESEARCH

Haiping Yuan, Shuaijie Ji, Hengzhe Li, Chuanqi Zhu, Yangyao Zou, Bin Ni, Ziang Gu

Modelling of GNSS station position time series using deep learning approaches

  • Research

Merve Şimşek, Murat Taşkıran, Uğur Doğan

Seismic inversion based on principal component analysis and probabilistic neural network for prediction of porosity from post-stack seismic data

  • REVIEW

Nitin Verma, Ravi kant, S. P. Maurya, Brijesh kumar, A. P. Singh, G. Hema, Raghav Singh, K. H. Singh, Piyush Sarkar

A Data-driven approach with reanalysis and geospatial data for chloride deposition prediction

  • Research

Thiago Brandenburg, Gustavo A. Fischer, Fabiano Miranda, José Francisco Silva Filho, Rafael Stubs Parpinelli

Landsat 8 and ASTER remote sensing data for ore prospecting in the postmasburg manganese ore field, South Africa

  • Research

Dayong Yang, Haoxiang Shao, Honglun Chang, Rongxia Zhang, Benzhe Ding

Remote sensing image change detection based on swin transformer and cross-attention mechanism

  • Research

Weidong Yan, Li Cao, Pei Yan, Chaosheng Zhu, Mengtian Wang

Optimized ANN-based surrogate models for evaluating the stability of trapdoors in Hoek‒Brown rock masses

  • Research

Kongtawan Sangjinda, Suraparb Keawsawasvong, Pitthaya Jamsawang, Angsumalin Senjuntichai, Teerapong Senjuntichai

Long-term shoreline dynamics of South Kerala Coast using satellite images

  • Research

Shanmuga Priyaa S., Rajkumar J., Basanta Kumar Jena

Enhancing landslide susceptibility mapping through advanced hybridization of bootstrap aggregating based decision tree algorithms

  • RESEARCH

Ronak Moradmand, Hassan Ahmadi, Abolfazl Moeini, Baharak Motamedvaziri, Ali Akbar Nazari Samani

Hierarchical intelligent lithology recognition for thin section images using enhanced DenseNet

  • RESEARCH

Ying Zhang, Xialin Zhang, Zhanglin Li, Xiang Li, Zhenjiang Wang

National flood susceptibility mapping in Saudi Arabia

  • Research

Bosy A. El-Haddad, Ahmed M. Youssef, Ali M. Mahdi, Zeinab Karimi, Hamid Reza Pourghasemi

Automatic identification method for subaqueous gravity flow facies in core images using convolutional neural networks

  • RESEARCH

Weiyi Lv, Kai Xu, Chonglong Wu, Chunfang Kong, Guanglong Zhou, Chengyang Xu, Mingkun Yang

A stacking ensemble machine learning model for improving monthly runoff prediction

  • Research

Wen-chuan Wang, Miao Gu, Zong Li, Yang-hao Hong, Hong-fei Zang, Dong-mei Xu

Evaluating the efficiency and accuracy of the copula-based rainfall-runoff model

  • Research

Mohammad Nazeri Tahroudi, Rasoul Mirabbasi

Recurrent-spectral convolutional neural networks (RecSpecCNN) architecture for hyperspectral lithological classification optimization

  • Research

Soufiane Hajaj, Abderrazak El Harti, Amin Beiranvand Pour, Younes Khandouch, Naima Benaouiss, Mazlan Hashim, Jabar Habashi, Alireza Almasi

Radioactive assessments of concrete modified with recycled waste materials

  • Research

Solomon Oyebisi, Mahaad Issa Shammas, Oluwatoyin Ayeni, Hamis Samaila

Modeling sediment flow analysis for hydro-electric projects using deep neural networks

  • Research

Sagar Tomar, Asheesh Sharma, Aabha Sargaonkar, Sumit Malwal, Shrey Gupta, Kishor S. Kulkarni, Rajesh Biniwale

Dual-domain prior unfolding network for remote sensing image super-resolution

  • Research

Jing Dong, Guifu Hu, Jie Zhang, Xiaoqing Luo

TDPM-CNN: a comprehensive daytime and nighttime PM2.5 estimation method using multi-kernel convolutional neural networks

  • Research

Chih Chun Chang, Velliangiri Sarveshwaran, Karthikeyan P, Pao-Ann Hsiung

GEOT-IDF equations: an R-based tool for intense rainfall studies

  • RESEARCH

Fagner França da Costa, Iana Alexandra Alves Rufino, Ricardo de Aragão, Marco Aurélio Holanda de Castro, Rivaildo da Silva Ramos Filho

Climate predictors in Indian summer monsoon forecasting: a novel De-correlated RVFL ensemble strategy

  • RESEARCH

Yajnaseni Dash, Ajith Abraham, Naween Kumar, Dileep Kumar Yadav, Neha Singhal

PAR-YOLO: a precise and real-time YOLO water surface garbage detection model

  • Research

Ning Li, Mingliang Wang, He Huang, Bo Li, Baohua Yuan, Shoukun Xu

Reservoir characterization using simultaneous inversion of pre-stack seismic data based on traditional conjugate gradient methods and particle swarm optimization: A comparative case study

  • RESEARCH

Brijesh Kumar, Ravi Kant, S. P. Maurya, A. P. Singh, G. Hema, Raghav Singh, Piyush Sarkar, K. H. Singh, S. K. Sharma

Comparison of LSTM and SVM methods through wavelet decomposition in drought forecasting

  • Research

Türker Tuğrul, Mehmet Ali Hınıs, Sertaç Oruç

Spatial distribution characteristics in water yield property of middle Jurassic sandstone aquifers using nonlinear combination method

  • RESEARCH

Jingzhong Zhu, Yuguang Zhang, Wenping Li, Qiqing Wang, Zhigang Ma, Xiaoqin Li

Predictive modeling of reservoir geomechanical parameters through computational intelligence approach, integrating core and well logging data

  • RESEARCH

Sayed Muhammad Iqbal, Jianmin Li, Junxiu Ma, Dawei Hu, Shuang Tian, Hui Zhou, Litao Shang

Machine learning methods for wildfire risk assessment

  • Review

Carlos Brys, David Luis La Red Martínez, Marcelo Marinelli

A hybrid physics-based method for estimating land surface temperature using radiative transfer simulations and machine learning model from Sentinel-3A SLSTR observations

  • Methodology

Jalpesh A. Dave, Vedant Pandya, Frank-M. Goettsche, Hasmukh K. Varchand, Parthkumar N. Parmar, Dhruv D. Desai, Disha B. Kardani, Dhiraj B. Shah, Ashwin Gujrati, Vishal N. Pathak, Himanshu J. Trivedi, Mehul R. Pandya

Spatiotemporal dynamics of vegetation cover: integrative machine learning analysis of multispectral imagery and environmental predictors

  • Research

Shoaib Ahmad Anees, Kaleem Mehmood, Waseem Razzaq Khan, Fahad Shahzad, Mohamed Zhran, Rashid Ayub, Abdullah A. Alarfaj, Sulaiman Ali Alharbi, Qijing Liu

Ship detection based on variety of YOLO using multi temporal and polarization SAR images

  • Research

Noorlaila Hayati, Safira Naurin Qolbi, I Ketut Aria Pria Utama, Teguh Putranto, Dendy Satrio, Mokhamad Nur Cahyadi

Transitional shale reservoir quality evaluation based on Random Forest algorithm—a case study of the Shanxi Formation, eastern Ordos Basin, China

  • Research

Wanli Gao, Qin Zhang, Jingtao Zhao, Wen Liu, Weiliang Kong, Guangyin Cai, Tianquan Qu, Hongjie Peng, Wenyu Li, Yugang Yang, Yingfang Zhou, Zhen Qiu

DroughtStats: A comprehensive software for drought monitoring and analysis

  • Open Access
  • SOFTWARE

Tolga Barış Terzi, Bihrat Önöz

Has climate change affected the fire regimes in semi-arid areas of northeastern Iran?

  • RESEARCH

Saeedeh Eskandari, Fatemeh Ahmadloo, Pedro Lago-González

A comparative study for predicting lake evaporation at chah nimeh reservoirs in Iran: employing the ADiPLS-LSTM model with an attention mechanism

  • RESEARCH

Yusef Kheyruri, Ahmad Sharafati, Seyed Hossein Mohajeri, Asaad Shakir Hameed, Mojtaba Mehraein

Short-term coalbed methane concentration prediction and early warning based on the STL-ENN-GRU hybrid model

  • Research

Kangle Li, Lin Jiang, Yan Zhang, Mei Wang, Yuancheng Li, Kun Yang

Enhancing formation bulk density prediction while drilling using mud logging data and interpretable boosting machine learning

  • RESEARCH

Ayoub Boutaghane, Ouafi Ameur-Zaimeche, Salim Heddam, Rabah Kechiched, Nasreddine Tahar-Belkacem, Abdelhamid Ouladmansour, Watheq J. Al-Mudhafar, David A. Wood

Utilizing contemporary machine learning techniques for determining soilcrete properties

  • Open Access
  • RESEARCH

Waleed Bin Inqiad, Muhammad Saud Khan, Zohaib Mehmood, Naseer Muhammad Khan, Muhammad Bilal, Mohammed Sazid, Saad S. Alarifi

RUSLE/SDR for assessment of soil erosion by a new non-convex regression

  • RESEARCH

Somayeh Ebrahimzadeh, Seyed Kazem Alavipanah, Sara Attarchi, Vahid Mahboub, Mahdi Motagh

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