Paper Info
Title
A review of drought monitoring with big data: Issues, methods, challenges and research directions.
Abstract
Over recent years, the frequency and intensity of droughts have increased and there has been a large drying trend over many parts of the world. Consequently, drought monitoring using big data analytic has gained an explosive interest. Droughts stand among the most damaging natural disasters. It threatens agricultural production, ecological environment, and socio-economic development. For this reason, early warning, accurate evaluation, and efficient prediction are an emergency especially for the nations that are the most menaced by this danger. There are numerous emerging studies addressing big data and its applications in drought monitoring. In fact, big data handle data heterogeneity which is an additive value for the prediction of drought, it offers a view of the different dimensions such as the spatial distribution, the temporal distribution and the severity detection of this phenomenon. Big data analytic and drought are introduced and reviewed in this paper. Besides, this review includes different studies, researches and applications of big data to drought monitoring. Challenges related to data life cycle such as data challenges, data processing challenges and data infrastructure management challenges are also discussed. Finally, we conclude that big data analytic can be beneficial in drought monitoring but there is a need for statistical and artificial intelligence-based approaches.
Year
DOI
Venue
2020
10.1016/j.ecoinf.2020.101136
ECOLOGICAL INFORMATICS
Keywords
DocType
Volume
Drought monitoring,Artificial intelligence,Big data,Machine learning,Statistical approach,Remote sensing
Journal
60
ISSN
Citations 
PageRank 
1574-9541
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Hanen Balti100.34
Ali Ben Abbes200.34
Nedra Mellouli300.34
Imed Riadh Farah48626.16
Yan-fang Sang5275.69
Myriam Lamolle67825.68