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Random Forest Algorithm for High-Resolution Land Use Mapping in Google Earth Engine: A Case Study in Kota

Year: 2024

Type: conference-paper

Source: International Conference on Technological Advancements in Computational Sciences (ICTACS)

DOI: 10.1109/ictacs62700.2024.10840549

Authors: Sudipta Mukherjee, Madhumita Mukherjee, Suvojit Ganguly, Tushar Tingote

Institutions: Rayat Bahra University, MIT World Peace University, Vellore Institute of Technology University, MassVentures (United States)

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

SDG: Life on land

Open Access status: closed

OpenAlex ID: W4406657495

FWCI: 0.709

Cites: 20

Cited by: 1

Related to: 10