KEYWORDS: Data modeling, Remote sensing, Data conversion, Soil science, Instrument modeling, Agriculture, Injuries, Systems modeling, Decision support systems, Databases
Production management of winter wheat is more complicated than other crops since its growth period is covered all four seasons and growth environment is very complex with frozen injury, drought, insect or disease injury and others. In traditional irrigation and fertilizer management, agricultural technicians or farmers mainly make decision based on phenology, planting experience to carry out artificial fertilizer and irrigation management. For example, wheat needs more nitrogen fertilizer in jointing and booting stage by experience, then when the wheat grow to the two growth periods, the farmer will fertilize to the wheat whether it needs or not. We developed a spatial decision support system for optimizing irrigation and fertilizer measures based on WebGIS, which monitoring winter wheat growth and soil moisture content by combining a crop model, remote sensing data and wireless sensors data, then reasoning professional management schedule from expert knowledge warehouse. This system is developed by ArcIMS, IDL in server-side and JQuery, Google Maps API, ASP.NET in client-side. All computing tasks are run on server-side, such as computing 11 normal vegetable indexes (NDVI/ NDWI/ NDWI2/ NRI/ NSI/ WI/ G_SWIR/ G_SWIR2/ SPSI/ TVDI/ VSWI) and custom VI of remote sensing image by IDL; while real-time building map configuration file and generating thematic map by ArcIMS.
KEYWORDS: Web services, Probability theory, Logic, Internet, Data modeling, Mining, Geographic information systems, Databases, Chemical species, Statistical modeling
The Semantic Web has a major weakness which is lacking of a principled means to represent and reason about
uncertainty. This is also located in the services composition approaches such as BPEL4WS and Semantic Description
Model. We analyze the uncertainty of Geospatial Web Service composition through mining the knowledge in historical
records of composition based on Broker approach and Bayesian Networks. We proved this approach is effective and
efficient through a sample scenario in this paper.
KEYWORDS: Databases, Data storage, Raster graphics, Geographic information systems, Data modeling, Binary data, Complex systems, System integration, Space operations, Remote sensing
With increasing demands of GIS applications system in a complex, integrated, and other areas, the spatial data are required rapid growth for the systems, and users are more and more on the demand spatial data. The method which traditional documents express spatial data is obviously unable to meet these needs. The SDE is at present the widespread application intermediate technology in the system integration, and is one kind of realization in the spatial database application. The spatial data can be expressed by vector data structure and raster one which may be managed thought ArcSDE. In this paper, regarding ArcSDE as the space data engine and using the large-scale relation database (RDBMS), we has set up three layers system structure, realized the effective organization and management to spatial data, and gotten very good application in practice.
KEYWORDS: 3D modeling, Visualization, 3D displays, Internet, Java, Tin, Systems modeling, 3D visualizations, Analytical research, Visual process modeling
With the singular development of Internet technique and 3DGIS as well as VR and the imminence demand of 3D
visualization from Groundwater information management field, how to display, roam, anatomize and analyze of 3D
structure of Groundwater system on Internet have become a research hotspot in hydrogeology field. We simulated the 3D
Groundwater resource structure of Taiyuan basin and implemented displaying, roaming, anatomizing and analyzing
functions on Internet by Java 3D.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.