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Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Anam Nigar ; Yang Li ; Muhammad Yousuf Jat Baloch ; et al.
Frontiers in Environmental Science, Vol 12 (2024)

land classifications remote sensing Python machine learning deep learning Sukkur Pakistan
Fachzeitschrift
43

Satellite imagery pre-processing and feature extraction for the mapping of coastal ecosystems using Google Earth Engine: A workflow for practitioners
Ahmad Badruzzaman ; Prawesti Wulandari ; Sainal Sainal ; et al.
MethodsX, Vol 15, Iss , Pp 103516- (2025)

Earth observation Remote sensing Python GIS Google Earth Engine Practitioners
Fachzeitschrift
44

Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++
Roberts, Jason J. ; Best, Benjamin D. ; Dunn, Daniel C. ; et al.
Environmental Modelling & Software. Oct2010, Vol. 25 Issue 10, p1197-1207. 11p.

Marine ecology Geospatial data Geographic information s... Computer software Global Positioning Syste... Remote sensing
Fachzeitschrift
46

Machine Learning on Geographical Data Using Python : Introduction Into Geodata with Applications and Use Cases
Joos Korstanje ; Joos Korstanje

Machine learning Python (Computer program... Geodatabases
E-Book
48

Sinkhole susceptibility analysis using machine learning for west central Florida
Muili, Olanrewaju ; Babaie, Hassan A.
In Applied Computing and Geosciences September 2025 27

Fachzeitschrift
49

DEVELOPING AN AI TOOL FOR FOREST MONITORING: INTRODUCING SYLVAMIND AI.
KESKES, Mohamed I. ; NIȚĂ, Mihai D.
Bulletin of the Transilvania University of Brasov, Series II: Forestry, Wood Industry, Agricultural Food Engineering. 2024, Vol. 17 Issue 2, p39-54. 16p.

FOREST monitoring DEFORESTATION BIODIVERSITY CLIMATE change DEEP learning
Fachzeitschrift
50

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Tamiminia, Haifa ; Salehi, Bahram ; Mahdianpari, Masoud ; et al.
In ISPRS Journal of Photogrammetry and Remote Sensing June 2020 164:152-170

Fachzeitschrift
52

Neural Networks for Geospatial Data.
Zhan, Wentao ; Datta, Abhirup
Journal of the American Statistical Association. Mar2025, Vol. 120 Issue 549, p535-547. 13p.

AIR pollution GRAPH neural networks MACHINE learning GAUSSIAN processes GEOSPATIAL data KRIGING
Fachzeitschrift
53

Geospatial Analysis by Python and R: Geomorphology of the Philippine Trench, Pacific Ocean
Lemenkova, Polina ; Ocean University of China (OUC) ; China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, Beijing, China
ISSN: 1305-8614 ; Electronic Letters on Science and Engineering ; https://hal.archives-ouvertes.fr/hal-02425688 ; Electronic Letters on Science and Engineering, 2019, 15 (3), pp.81-94. ⟨10.6084/m9.figshare.11449362⟩ ; https://dergipark.org.tr/tr/pub/else/issue/50887/604976.

oceanology data modeling Philippine Trench Python computing programming
Fachzeitschrift
54

Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP
Scavuzzo, Carlos Matias ; Scavuzzo, Juan Manuel ; Campero, Micaela Natalia ; et al.
In Infectious Disease Modelling March 2022 7(1):262-276

Fachzeitschrift
55

Geospatial Analysis using Python and JupyterHub: Processing, analyzing, and visualizing geospatial data on a high performance GPU server
Martin Christen ; Kompetenzzentrum für nicht-textuelle Materialien

GPU Analytics Deep Learning Visualization Big Data Computer Science
56

7 - Machine learning for analysis of geo-exploration data
Pour, Amin Beiranvand ; Harris, Jeff ; Zuo, Renguang
In Geospatial Analysis Applied to Mineral Exploration 2023:279-294

Buch
58

Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis
Zhang, Yanan ; Liu, Renjing ; Heidari, Ali Asghar ; et al.
In Neurocomputing 21 March 2021 430:185-212

Fachzeitschrift
59

Generative AI with prompt engineering in construction: Enhancing predictive slope stability modelling for safe, sustainable, climate-smart mining practices
Kamran, Muhammad ; Faizan, Muhammad ; Wang, Shuhong ; et al.
In Geoscience Frontiers November 2025 16(6)

Fachzeitschrift
60

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