ML4WX

Observations & remote sensing

A novel artificial neural network methodology to produce high-resolution bioclimatic maps using Earth Observation data: A case study for Cyprus

Kostas Philippopoulos, Katerina G. Pantavou, Constantinos Cartalis, Ilias Agathangelidis, Thaleia Mavrakou, Anastasios Polydoros, Georgios K. Nikolopoulos

The Science of The Total Environment ·

Paper

In one sentence. Uses an artificial neural network with Earth observation data to produce high-resolution bioclimatic maps for Cyprus; abstract unavailable, so scope is inferred from the title.

Labels

Topic
Observations & remote sensing
Type
New model or method
Method
Classical ML (trees, GP, linear, kernels)
Domain
Regional
Data
Satellite, Station / in-situ
Status
Research
Identifiers
DOI:10.1016/j.scitotenv.2023.164734 OpenAlex:W4380154103
Added
2026-10-22

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