ML based Landcover classification with connectivity Circuitscape analysis

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Abran Idrees
DOI: 10.5281/zenodo.18876330
Cited by: 0

Abstract

This project used the ML algorithm to train the model for landcover classification, Change detection within Forest class, functional connectivity for two scenarios: PFL (forest specialist) and Generalist in R.

Fields of Study & Subjects

Remote-Sensing Image Classification Wildlife-Road Interactions and Conservation Remote Sensing and Land Use

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 March 2026
Language
EN
Document type
Dataset