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Earth Science Informatics

Ausgabe 2/2023

Inhalt (53 Artikel)

REVIEW

Machine learning for earthquake prediction: a review (2017–2021)

Nurafiqah Syahirah Md Ridzwan, Siti Harwani Md. Yusoff

Research

A change type determination method based on knowledge of spectral changes in land cover types

Linye Zhu, Huaqiao Xing, Longfei Zhao, Hui Qu, Wenbin Sun

RESEARCH

A remotely sensed study of the impact of meteorological parameters on vegetation for the eastern basins of Afghanistan

Ahmad Farid Nabizada, Iman Rousta, Gholamali Mozaffari, Marjan Dalvi, Haraldur Olafsson, Anna Siedliska, Piotr Baranowski, Przemysław Tkaczyk, Jaromir Krzyszczak

RESEARCH

Evaluation of TerraClimate gridded data across diverse climates in Iran

Alireza Araghi, Christopher J. Martinez, Jan F. Adamowski

RESEARCH

Automatic lithology identification method based on efficient deep convolutional network

Yan Guo, Zhuowu Li, Weihua Lin, Ji Zhou, Shixiang Feng, Luyu Zhang, Fujiang Liu

Research

Rock thin section image classification based on depth residuals shrinkage network and attention mechanism

XiaLin Zhang, ZhenJiang Wang, DongTao Liu, Qing Sun, Jin Wang

RESEARCH

On the modern deep learning approaches for precipitation downscaling

Bipin Kumar, Kaustubh Atey, Bhupendra Bahadur Singh, Rajib Chattopadhyay, Nachiketa Acharya, Manmeet Singh, Ravi S. Nanjundiah, Suryachandra A. Rao

RESEARCH

Machine learning for prediction of the uniaxial compressive strength within carbonate rocks

Mohamed Abdelhedi, Rateb Jabbar, Ahmed Ben Said, Noora Fetais, Chedly Abbes

Research

A Tri-Training method for lithofacies identification under scarce labeled logging data

Xinyi Zhu, Hongbing Zhang, Quan Ren, Dailu Zhang, Fanxing Zeng, Xinjie Zhu, Lingyuan Zhang

RESEARCH

An intelligent optimized cyclone intensity prediction framework using satellite images

C. Kishor Kumar Reddy, P. R. Anisha, Marlia Mohd Hanafiah, Y. V. S. S. Pragathi, B. V. Ramana Murthy, R. Madana Mohana

Open Access Research

Twenty thousand leagues under plant biominerals: a deep learning implementation for automatic phytolith classification

Nafsika C. Andriopoulou, Georgios Petrakis, Panagiotis Partsinevelos

RESEARCH

Climatic variables impact on inland lakes water levels and area fluctuations in an arid/semi-arid region of Iran, Iraq, and Turkey based on the remote sensing data

Iman Rousta, Morteza Sharif, Sousan Heidari, Aboozar Kiani, Haraldur Olafsson, Jaromir Krzyszczak, Piotr Baranowski

Open Access RESEARCH

Atmospheric dust intrusions from the peninsular region into the Northern Gulf of California: case study

Enrique Morales-Acuña, Eduardo Santamaría-del-Ángel, Jean Linero-Cueto

Research

Groundwater Quality Analysis and Drinkability Prediction using Artificial Intelligence

Niranjan Panigrahi, S. Gopal Krishna Patro, Raghvendra Kumar, Michael Omar, Tran Thi Ngan, Nguyen Long Giang, Bui Thi Thu, Nguyen Truong Thang

RESEARCH

A 3D geological model of the Gallocanta Basin (Spain). The basis to update the hydrogeological model

Javier Ramajo, Jose María Orellana-Macías, Carlos Galé, Manuel Arce, Jesús Causapé

RESEARCH

Combining deep learning methods and multi-resolution analysis for drought forecasting modeling

Ali Ben Abbes, Raja Inoubli, Manel Rhif, Imed Riadh Farah

METHODOLOGY

Identification of The Survey Points from Network RTK Trajectory with Improved DBSCAN Clustering, Case Study on HNCORS

Minsi Ao, Xiangqiang Zeng, Chunhua Chen, Bin Chu, Yubing Zhang, Cui Zhou

METHODOLOGY

Precision mapping through the stereo vision and geometric transformations in unknown environments

Georgios Petrakis, Angelos Antonopoulos, Achilles Tripolitsiotis, Dimitris Trigkakis, Panagiotis Partsinevelos

METHODOLOGY

Determining the time response in GNSS tomographic modeling of troposphere

Elaheh Sadeghi, Masoud Mashhadi Hossainali, Abdolreza Safari

Open Access METHODOLOGY

Implementation and verification of a real-time system for automatic aftershock forecasting in China

Zhumei Liu, Haikun Jiang, Shengle Li, Mingxiao Li, Jian Liu, Jingfa Zhang

Correction

Correction to: Automatic lithology identification method based on efficient deep convolutional network

Yan Guo, Zhuowu Li, Weihua Lin, Ji Zhou, Shixiang Feng, Luyu Zhang, Fujiang Liu

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