The analysis of natural disaster-related multimedia content got great\nattention in recent years. Being one of the most important sources of\ninformation, social media have been crawled over the years to collect and\nanalyze disaster-related multimedia content. Satellite imagery has also been\nwidely explored for disasters analysis. In this paper, we survey the existing\nliterature on disaster detection and analysis of the retrieved information from\nsocial media and satellites. Literature on disaster detection and analysis of\nrelated multimedia content on the basis of the nature of the content can be\ncategorized into three groups, namely (i) disaster detection in text; (ii)\nanalysis of disaster-related visual content from social media; and (iii)\ndisaster detection in satellite imagery. We extensively review different\napproaches proposed in these three domains. Furthermore, we also review\nbenchmarking datasets available for the evaluation of disaster detection\nframeworks. Moreover, we provide a detailed discussion on the insights obtained\nfrom the literature review, and identify future trends and challenges, which\nwill provide an important starting point for the researchers in the field.\n