Jing-Hang Great Canal is the earliest canal in the world, it has an important role in the transportation
between south and north China during almost 2,000 years. But with the development new technologies,
the Great Canal has lost its role from 19th century. Especially in Nanwang part of canal, it has
disappeared as a dry drain now. In order to find the reason of Nanwang canal disappeared from 1700
gradually, we put forward a new method to find the change of it. In this paper ,we first use an old map
which draw in 300 years ago to obtain the old time environment status and correct it into nowadays
remote sensing data to reveal the old sub-rivers which has run into canal in the old time. We also use
some history materials to get the social information such as population data, county and village data.
Second we using present remote sensing data to extract river, farmland data, we also collect the
population data now in this area. In the end we compared this two period data to find the different
hydrographic net in 300 years. The result will give us the answer for the canal change and give us a
hint for reconstruction the Great Canal in the future.
Spatial information especiallly Digital Earth technology have been put forward for about 50 years. Now it has been
applied in different area successful such as city management, landuse monitor, digital city and even globe change. In the
field of geology and mining, it also needs the Digital Earth technology to make it clear that how does the different
stratums and geology structures being under the ground and where the mine is being. Because of the complexity of
geology field, there is few successful report on the application of Digital Earth technology in this area. In this paper, we
just put forward a new method which will integrate all kinds of geology and mining data together, using spatial
information technology to develop a 3D geology and mining data sharing platform. In this platform, users can find the
different stratums location and development, they can also search some element of features, located them and viewed
them in 3D model. This platform has changed the traditional geology data's access and using.
The Wenchuan earthquake on May 12, 2008, triggered many secondary disasters, among which the barrier lakes formed by landslides were extremely serious. We monitored the number and spatial distribution of the barrier lakes in the earthquake-hit area from ADS40 airborne images, which covered areas of about 23,700 km2. The results showed that there were 51 barrier lakes in the monitored area; among these, 10 were large-scale lakes and 14 were middle-sized lakes. The barrier lakes were distributed along the Longmen Mountain fault from the northeast to southwest direction. We used the dimensionless blockage index (DBI) to assess the potential risk of the barrier lakes. A small DBI value indicated a stable barrier lake, but the lake might have a higher risk with potential accumulative secondary disasters. Our study emphasized the monitoring and analysis of the high-risk Tangjiashan Barrier Lake from the multitemporal ADS40 airborne images acquired on May 16, 19, 23, and 27. We found that the water level at this barrier lake reached 66 m within 15 days after the barrier lake was formed, and the reservoir storage capacity reached 1.2 × 108 m3 with an increase of 8 × 106 m3 of water per day. Therefore, it faced a very real and urgent risk of dam break and overflow, considering the predicted storm rainfall and the continuous aftershocks. According to the analysis results, airborne remote sensing demonstrated the advantages of being intelligent, being able to maneuver, and providing high resolution. These advantages allowed us to quickly monitor and assess the distribution and dynamic changes of the barrier lakes in the earthquake-hit region using multitemporal airborne remote sensing images.
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