TEXTURE ANALYSIS FOR LAND USE LAND COVER (LULC) CLASSIFICATION IN PARTS OF AHMEDABAD, GUJARAT

7 citations as recorded by crossref.

1. How Accurately and in What Detail Can Land Use and Land Cover Be Mapped Using Copernicus Sentinel and LUCAS 2022 Data? B. Ghassemi et al.
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4. A New Texture Aware—Seed Demand Enhanced Simple Non-Iterative Clustering (ESNIC) Segmentation Algorithm for Efficient Land Use and Land Cover Mapping on Remote Sensing Images R. Selvaraj & D. Amali
5. Input imagery, classifiers, and cloud computing: Insights from multi-temporal LULC mapping in the Cambodian Mekong Delta C. Orieschnig et al.
6. Improving Open-Pit Mining Mapping Accuracy in the Tropics Using Enhanced Input Selection for Classification Process of Machine Learning G. Nugroho et al.
7. Evaluation of Sentinel-1 Interferometric SAR Coherence efficiency for Land Cover Mapping M. Soleimani et al.