Research on application of temporal GIS technology in monitoring landslide hazard

Author(s):  
Yinyin Chao ◽  
Yuxin Li ◽  
Min Qing
Episodes ◽  
1992 ◽  
Vol 15 (1) ◽  
pp. 32-35 ◽  
Author(s):  
E. Leroi ◽  
O. Rouzeau ◽  
J. -Y. Scanvic ◽  
C.C. Weber ◽  
G. Vargas C.

2014 ◽  
Vol 1065-1069 ◽  
pp. 2304-2308 ◽  
Author(s):  
Xiao Yu Wang ◽  
Jin Zhu Meng ◽  
Bo Xu ◽  
Xiao Hang Wang

The paper studies integrated protection methods of pre-Qing architectural heritage area in Liaoning with Geographic Information System (GIS) technology. First of all, pre-Qing architectural heritage in Liaoning is investigated, and the geographic information database is established. Then the composition of pre-Qing architectural heritage area in Liaoning is analyzed, and its value is evaluated. Finally, the traffic system of pre-Qing architectural heritage area in Liaoning is planned in order to facilitate its future protection. This research shows that the application of GIS for the overall protection of pre-Qing architectural heritage area in Liaoning is scientific, reasonable and feasible. Application of GIS technology can expand and innovate the ideas and approaches of traditional heritage protection, and provides a firm data foundation and powerful technical support for a better research and protection of this large scale type of heritage like heritage area.


Geomorphology ◽  
2008 ◽  
Vol 94 (3-4) ◽  
pp. 257-260 ◽  
Author(s):  
Alberto Carrara ◽  
Richard J. Pike

Author(s):  
May Yuan

Temporal Geographic Information Systems (GIS) technology has been a top research subject since late the 1980s. Langran’s Time in Geographic Information Systems (Langran, 1992) sets the first milestone in research that addresses the integration of temporal information and functions into GIS frameworks. Since then, numerous monographs, books, edited collections, and conference proceedings have been devoted to related subjects. There is no shortage of publications in academic journals or trade magazines on new approaches to temporal data handling in GIS, or on conceptual and technical advances in spatiotemporal representation, reasoning, database management, and modeling. However, there is not yet a full-scale, comprehensive temporal GIS available. Most temporal GIS technologies developed so far are either still in the research phase (e.g., TEMPEST developed by Peuquet and colleagues at Pennsylvania State University in the United States) or with an emphasis on mapping (e.g., STEMgis developed by Discovery Software in the United Kingdom).


Geosciences ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 175 ◽  
Author(s):  
Carabella ◽  
Miccadei ◽  
Paglia ◽  
Sciarra

This work focused on a post-wildfire landslide hazard assessment, applied to the 2017 Montagna del Morrone fire. This wildfire increased the possibility of landslides triggering, as confirmed by the occurrence of a debris flow, triggered by an intense, short duration rainfall event in August 2018. The study area was investigated through a detailed analysis incorporating morphometric analysis of the topography and hydrography and geomorphological field mapping, followed by the landslide hazard assessment. In detail, the analysis was performed following a heuristic or expert-based approach, integrated using GIS technology. This approach led to the identification of five instability factors. These factors were analyzed for the construction of thematic maps. Hence, each factor was evaluated by assigning appropriate expert-based ranks and weights and combined in a geomorphology-based matrix, that defines four landslide hazard classes (low, moderate, high, and very high). Moreover, the morphometric analysis allowed us to recognize basins prone to debris flows, which, in relevant literature, are those that show a Melton ratio of >0.6 and a watershed length of <2.7 km. Finally, all the collected data were mapped through a cartographic and weighted overlay process in order to realize a new zonation of landslide hazard for the study area, which can be used in civil protection warning systems for the occurrence of landslides in mountainous forested environments.


2021 ◽  
Vol 1885 (2) ◽  
pp. 022039
Author(s):  
Bei Wu ◽  
Rui Zhou ◽  
Yu Long ◽  
Xinyue Cai ◽  
Bingnan Li

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