From: Monitoring sustainable development by means of earth observation data and machine learning: a review
SDGs | Field | Main finding | References |
---|---|---|---|
SDG 2 (Zero Hunger) | Soil condition | Proposed a Semi-Empirical model, which demonstrated its suitability, to reconstruct the signal from Signal-to-Noise Ratio data and simultaneous acquire information that is influenced by soil moisture | [139] |
SDG 7 (Affordable and Clean Energy) | Renewable energy sources | Developed a semi-empirical model to forecast the monthly average of solar radiation per hour. The results demonstrated that the estimated value was in agreement with the measurements | [140] |
SDG 15 (Life on Land) | Forest | Proposed the use of a Semi-Empirical model with images from RADARSAT-2 to acquire features from the surface of tropical forests. The framework achieved an accuracy of ≅ 83% | [141] |
Invasive plants | Compared supervised and unsupervised image classifiers for mapping a cactus plant, and the results showed that the supervised classifiers were more accurate than the unsupervised classifiers | [142] |