CLASSIFICATION OF LISS IV IMAGERY USING DECISION TREE METHODS

6 citations as recorded by crossref.

1. Land use/land cover and land surface temperature analysis in Wayanad district, India, using satellite imagery J. John et al. https://doi.org/10.1080/19475683.2020.1733662
2. Integrating remote sensing classification techniques for land use mapping in semi-arid regions: a case study of the Tamlouka basin, Algeria L. Bouchagoura et al. https://doi.org/10.1007/s10661-024-12757-1
3. Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine C. Savitha & R. Talari https://doi.org/10.1007/s10661-025-13880-3
4. RETRACTED ARTICLE: A novel QIM-DCT based fusion approach for classification of remote sensing images via PSO and SVM models K. Uma Maheswari & S. Rajesh https://doi.org/10.1007/s00500-020-04884-x
5. Addressing Illicit Tobacco Growth in Pakistan: Leveraging AI and Satellite Technology for Precise Monitoring and Effective Solutions W. Khan et al. https://doi.org/10.33411/IJIST/549
6. Spatiotemporal effects of blue-green infrastructure on land surface temperature across local geo-urban zones in Bhopal A. Dwivedi & R. Soni https://doi.org/10.1007/s00704-026-06420-7