maximum-likelihood-classification

Python Script to perform a Maximum Likelihood Classification

LaTeX source for the article 'Automation of Image Processing Through ML Algorithms of GRASS GIS Using Embedded Scikit-Learn Library of Python' (Lemenkova, Examples and Counterexamples 2025, 7:100180). ML/ANN classification of Landsat over the Nile Delta and Faiyum Oasis, Egypt.

GRASS GIS shell scripts comparing four AI/ML classifiers (Random Forest, SVM, MLP/ANN, Decision Tree) with MaxLike clustering for land-cover classification of a Landsat 8-9 OLI/TIRS time series (2013-2024) around Cheetham Wetlands, Port Phillip Bay, Australia. Figures for Lemenkova, J. Mar. Sci. Eng. 2024, 12(8):1279.

GRASS GIS shell scripts comparing machine-learning classifiers (LDA, GNB, DTC, SVM) with MaxLike clustering for land-cover classification of a Landsat 8-9 OLI/TIRS time series (2014-2024) over coastal and desert Eritrea. Figures for Lemenkova, Engineering Today 2025, 4(2):13-27.

LaTeX source for the article on GRASS GIS mangrove/land-cover classification of Guinea-Bissau (Lemenkova, Transylvanian Review of Systematical and Ecological Research 2024, 26(2):17-30).

GRASS GIS scripts and Landsat metadata for the article 'Climatic Influence on the Lake Drainage Processes and Vegetation Dynamics in Arid Ecosystems of Southern Africa' (Lemenkova, Journal of the Department of Geography, Tourism and Hotel Management 2025, 54(1):1-19). Random Forest / MaxLike ensemble classification of Landsat 8-9 OLI/TIRS.

LaTeX source for the article 'Machine Learning Algorithms of Remote Sensing Data Processing for Mapping Changes in Land Cover Types over Central Apennines, Italy' (Lemenkova, J. Imaging 2025, 11(5):153).

GRASS GIS scripts for supervised land-cover classification and reclassification of a Landsat 8-9 OLI/TIRS time series (2015-2023) over Djibouti using a gradient boosting ML classifier. Figures for Lemenkova, J. Imaging 2025, 11(8):249.

LaTeX source for the article 'A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria' (Lemenkova, Applied System Innovation 2023, 6(4):61).

LaTeX source for the article 'Random Forest Classifier Algorithm of GRASS GIS for Satellite Image Processing: Case Study of Bight of Sofala, Mozambique' (Lemenkova, Coasts 2024, 4(1):127-149).

GRASS GIS shell scripts for per-year maximum-likelihood land-cover classification of a Landsat 8-9 OLI/TIRS time series (2015-2023) of the Sudd Wetlands, South Sudan, using k-means clustering and r.kappa accuracy assessment. Supports the article 'Image Segmentation of the Sudd Wetlands...' (Lemenkova, Analytics 2023, 2(3):745-780).

LaTeX source for the article 'Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh' (Lemenkova, Water 2024, 16(8):1141).

GRASS GIS shell scripts for maximum-likelihood classification of a Landsat 8 OLI/TIRS series (2013, 2017, 2022) analysing environmental patterns in Lake Chad, Central Africa (i.cluster, i.maxlik, r.kappa). Figures for Lemenkova, Die Bodenkultur 2023, 74(1):49-64.

GRASS GIS shell scripts implementing an automated maximum-likelihood algorithm to retrieve land-cover types in Guinea, West Africa, from a Landsat-8 OLI/TIRS time series (2014, 2018, 2023), with k-means clustering and 10-class classification. Figures for Lemenkova, Ovidius Univ. Annals of Constanta, Civil Eng. 2025, 25(1):19-36.

GRASS GIS shell scripts for per-year maximum-likelihood classification of a Landsat 8-9 OLI/TIRS series (2014-2022) monitoring the ephemeral salt lakes of Chotts Melrhir and Merouane, Algeria (i.cluster, i.maxlik, r.kappa). Figures for Lemenkova, Applied System Innovation 2023, 6(4):61.

LaTeX source for the article 'Support Vector Machine Algorithm for Mapping Land Cover Dynamics in Senegal, West Africa, Using Earth Observation Data' (Lemenkova, Earth 2024, 5(3):420-462). GRASS GIS SVM vs k-means classification of Landsat OLI/TIRS.

LaTeX source for the article 'Climatic Influence on the Lake Drainage Processes and Vegetation Dynamics in Arid Ecosystems of Southern Africa' (Lemenkova, Journal of the Department of Geography, Tourism and Hotel Management 2025, 54(1):1-19).

GRASS GIS shell scripts for deep-learning (MLP neural network) classification of a seasonal Landsat 8-9 OLI/TIRS series (March and November, 2014-2023) monitoring flood dynamics in the Ganges Delta, Bangladesh, with k-means clustering and maximum-likelihood classification. Figures for Lemenkova, Water 2024, 16(8):1141.

LaTeX source for the article 'Reclassification Scheme for Image Analysis in GRASS GIS Using Gradient Boosting Algorithm: A Case of Djibouti, East Africa' (Lemenkova, J. Imaging 2025, 11(8):249).

GRASS GIS shell scripts for land-cover classification and mangrove-dynamics analysis of coastal Guinea-Bissau from a Landsat 8-9 OLI/TIRS time series (2017, 2020, 2023) using k-means clustering, i.maxlik classification, r.kappa accuracy and colour composites. Figures for Lemenkova, Transylvanian Rev. Syst. Ecol. Res. 2024, 26(2):17-30.