From: Monitoring sustainable development by means of earth observation data and machine learning: a review
SDGs | Field | Main finding | Reference |
---|---|---|---|
SGD 11 (Sustainable Cities and Communities) | Land cover | Used and compared three methods to classify ground vegetation covers using data acquired by IKONOS satellite. The comparison demonstrated that all methods are very accurate (more than 90% of accuracy); however, the two-step method achieved the best results | [147] |
Land change | Proposed an unsupervised method with an OB approach to improve the detection of changes using high-resolution images. This methodology achieved better results in comparison to other methods | [148] | |
SGD 15 (Life on Land) | Invasive plants | Developed an unsupervised method to detect and map invasive plants using RFs, which proved to be a successful approach | [149] |
Landslide | Compared an unsupervised PB and OB approach for landslide detection using VHR images and concluded that OB performed better than PB | [150] |