To disclose and display water information, a three-dimensional visualization system based on Virtual Reality (VR)
and Internet is researched for demonstrating "digital water conservancy" application and also for routine
management of reservoir. To explore and mine in-depth information, after completion of modeling high resolution
DEM with reliable quality, topographical analysis, visibility analysis and reservoir volume computation are studied.
And also, some parameters including slope, water level and NDVI are selected to classify easy-landslide zone in
water-level-fluctuating zone of reservoir area. To establish virtual reservoir scene, two kinds of methods are used
respectively for experiencing immersion, interaction and imagination (3I). First virtual scene contains more detailed
textures to increase reality on graphical workstation with virtual reality engine Open Scene Graph (OSG). Second
virtual scene is for internet users with fewer details for assuring fluent speed.
Rapid and efficient estimation of flood loss is very important for flood disaster mitigation measurement. Geographic
information system and remote sensing are important tools for flood damage evaluation. This paper presents a basic
framework of flood loss estimation based on GIS and remote sensing. It illustrates the work flow which includes the
extraction of water extent and the flood damage calculation etc. Then a mathematical model for flood loss estimation
based on spatial grid is built. The model focuses on the scope of rural agriculture product, linear infrastructures and
population causality, and it is formulated based on stage-damage relationships between different flood inundation
parameters and land use features.
A case study demonstrates the real world application of the model to Tuojiang river basin in Sichuan province, China.
The estimation work is undergone through a storm loss estimation system developed with visual basic programming
language and Arc Objects. It calculated one flood event in 2001 in Tuojiang River.
The main objective of the "Remote sensing data sharing platform based on satellite link" is to realize the data sharing
within different scientific research institutes of water resources. The platform takes full advantage of existing facilities
and the shared data covers all the country and peripheral locality. It provides the important basis to the water resources
department to monitor the flood and drought disaster, the water resources application, the pollution of water
environmental, the soil erosion, the rivers vicissitude and the significant hydraulic engineering construction. It also
provides the important information guarantee and equipment support of disaster prevention and reduction. This
technique will not only improve the water resources information-based progress and the independent creative ability of
water resources management of our country, but also overcome the disadvantageous situation of the data source lacks,
data source not in time, providing non ideal product of data processing, purchasing data over-duplicate. While sharing
the remote sensing information, we also do some research about fast gain of the remote sensing data from multiple
sources, data processing and data fusion. This is a whole system which carries on a real-time monitor to the decision
department. It will provide important scientific foundation to deal with any emergency.