Landslide susceptibility assessment for St. Thomas, Jamaica, using geographical information system and remote sensing methods

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

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Landslide Susceptibility Assessment of Mauritius Island (Indian Ocean)

Geosciences ◽

10.3390/geosciences9120493 ◽

2019 ◽

Vol 9 (12) ◽

pp. 493 ◽

Cited By ~ 7

Author(s):

Vincenzo Marsala ◽

Alberto Galli ◽

Giorgio Paglia ◽

Enrico Miccadei

Keyword(s):

Indian Ocean ◽

Landslide Susceptibility ◽

Integrated Approach ◽

Geographical Information ◽

Susceptibility Assessment ◽

Gis Technology ◽

Mountain Areas ◽

Landslide Susceptibility Assessment ◽

Hydrological Hazards ◽

Mauritius Island

This work is focused on the landslide susceptibility assessment, applied to Mauritius Island. The study area is a volcanic island located in the western part of the Indian Ocean and it is characterized by a plateau-like morphology interrupted by three rugged mountain areas. The island is severely affected by geo-hydrological hazards, generally triggered by tropical storms and cyclones. The landslide susceptibility analysis was performed through an integrated approach based on morphometric analysis and preliminary Geographical Information System (GIS)-based techniques, supported by photogeological analysis and geomorphological field mapping. The analysis was completed following a mixed heuristic and statistical approach, integrated using GIS technology. This approach led to the identification of eight landslide controlling factors. Hence, each factor was evaluated by assigning appropriate expert-based weights and analyzed for the construction of thematic maps. Finally, all the collected data were mapped through a cartographic overlay process in order to realize a new zonation of landslide susceptibility. The resulting map was grouped into four landslide susceptibility classes: low, medium, high, and very high. This work provides a scientific basis that could be effectively applied in other tropical areas showing similar climatic and geomorphological features, in order to develop sustainable territorial planning, emergency management, and loss-reduction measures.

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