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As with mass movements in other material types (snow, ice, soil, and debris), inventory mapping, monitoring, and modeling (numerical and physical) form the basis of bedrock mass movement recognition and anticipation.
We further illustrate that these segments cognitively correspond to individual tree crowns, ranging up to forest stands, and describe how such a tool may be used in computer-assisted forest inventory mapping.
Landslide inventory mapping is an indispensable prerequisite for reliable hazard and risk analysis, and with the increasing availability of very high resolution (VHR) remote sensing imagery the creation and updating of such inventories on regular bases and directly after major events is becoming possible.
Fig. 2 Landslide inventory mapping in the Changshougou valley.
Remote sensing images are helpful in factor characterization and landslide inventory mapping.
This study was performed in the framework of 'Inventory Mapping of Landslides induced by the Nepal Earthquake and Hazard Mapping of Future Landslides for Making the Plan of Better Reconstruction' (Principal investigator, Prof. Chigira) related to the April 2015 Nepal earthquake in the J-RAPID Program by Japan Science and Technology Agency (JST).
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To test the proposed framework we exploit three inventory maps.
There is $350 million in the bill to develop a "comprehensive nationwide inventory map of existing broadband service".
The input patterns include both physical landscape characteristics (criterion maps) and landslide inventory maps.
This resulted in a landslide inventory map, indicating the location of 135 large deep-seated landslides.
Landslide inventory maps are fundamental for assessing landslide susceptibility, hazard, and risk.
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