Landsat-8 Random Forest Crop Identification Model (Punjab, Pakistan)

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

Read full text
Authors: Muhammad Rizwan Akram
DOI: 10.5281/zenodo.18647086
Cited by: 0

Abstract

This Google Earth Engine JavaScript code performs supervised land-use/land-coverclassification using Landsat-8 Collection 2 imagery and Random Forest.Classes include: Maize, Wheat, Orchards, and Built-up. Study Area: District Lodhran, Punjab, PakistanDate Range: 01–25 March 2025 Software: Google Earth EngineClassifier: Random Forest (200 trees)Bands: B2, B3, B4, B5, B6, B7, B8, NDVI, NDWI, NDBI, BSI

Fields of Study & Subjects

Remote Sensing in Agriculture Remote-Sensing Image Classification Remote Sensing and Land Use

Publication details

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