Paper Info
Title
User-oriented agricultural drought information cluster
Abstract
Agricultural droughts can be perceived in four forms - drought data, information, knowledge, and wisdom. For better understanding, mitigation and harness of drought, it is necessary to extract “raw” drought information into human-perceivable data (e.g., remotely sensed data) and from which to discover patterns and form knowledge. This article explores advantages of geospatial Web services in providing on-demand agricultural drought analysis and equipping users from various domains (including drought experts, decision-makers and farmers) with information, knowledge and even wisdom needed in the process of agricultural drought monitoring, assessment and management. Various Web services are established to support drought analysis and decision-making for the general public. The potential of Web services in automating geospatial knowledge discovery and dissemination within the Big Data era is also illustrated here.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6947134
IGARSS
Keywords
Field
DocType
agricultural drought assessment,geophysics computing,on-demand agricultural drought analysis,agricultural drought management,earth observing system,web services,hydrology,data integration,remotely sensed data,agricultural drought monitoring,agriculture,drought knowledge,decision-making,drought wisdom,drought data,knowledge management,geospatial web services,hydrological techniques,agricultural engineering,farmers,decision support systems,human-perceivable data,general public,drought experts,drought mitigation,big data era,data mining,big data,user-oriented agricultural drought information cluster,data assimilation,raw drought information,decision-makers,knowledge based system,computer aided analysis,geospatial knowledge discovery,drought harness,data models,remote sensing,soil moisture,indexes
Geospatial analysis,Computer science,Remote sensing,User oriented,Agriculture,Knowledge extraction,Web service,Geospatial web service,Big data
Conference
ISSN
Citations 
PageRank 
2153-6996
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Chunming Peng1132.92
Meixia Deng26110.82
Liping Di381198.92