Disaster risk reduction and climate resilience in nature based solutions using in-situ and satellite data for Georgia sustainable development

Abstract

The use of big data and machine learning methods to research Earth functioning is more and more actual, especially after it began to be studied by satellites of the Earth observation mission. A large amount of information has been accumulated, the processing of which requires new approaches. Big data and machine learning have become relevant in the assessment of climate change to monitor the nature of the Earth. In order to overcome climate change negative factors new innovative approaches have been introduced, one of them is Nature Based Solutions, which involves transition from grey constructions to green environment.