Title :
User-oriented agricultural drought information cluster
Author :
Chunming Peng ; Meixia Deng ; Liping Di
Author_Institution :
Center for Spatial Inf. Sci. & Syst., George Mason Univ., Fairfax, VA, USA
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.
Keywords :
Big Data; Web services; agricultural engineering; data mining; decision support systems; geophysics computing; hydrological techniques; hydrology; Big Data era; agricultural drought assessment; agricultural drought management; agricultural drought monitoring; decision-makers; decision-making; drought data; drought experts; drought harness; drought knowledge; drought mitigation; drought wisdom; farmers; general public; geospatial Web services; geospatial knowledge discovery; human-perceivable data; on-demand agricultural drought analysis; raw drought information; remotely sensed data; user-oriented agricultural drought information cluster; Agriculture; Data models; Indexes; Remote sensing; Soil moisture; Vegetation mapping; Web services; Agriculture; Data assimilation; Data integration; Earth Observing System; Knowledge based system; Web services; computer aided analysis; knowledge management;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947134