GIS and RS-based modelling of potential natural hazard areas in Pehchevo municipality, Republic of Macedonia
In this paper, one approach of Geographic Information System (GIS) and Remote Sensing (RS) assessment of potential natural hazard areas (excess erosion, landslides, flash floods and fires) is presented. For that purpose Pehchevo Municipality in the easternmost part of the Republic of Macedo...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Geographical Institute "Jovan Cvijić" SASA
2013-01-01
|
| Series: | Zbornik Radova: Geografski institut "Jovan Cvijić" |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0350-7599/2013/0350-75991303095M.pdf |
| Summary: | In this paper, one approach of Geographic Information System (GIS) and Remote
Sensing (RS) assessment of potential natural hazard areas (excess erosion,
landslides, flash floods and fires) is presented. For that purpose Pehchevo
Municipality in the easternmost part of the Republic of Macedonia is selected
as a case study area because of high local impact of natural hazards on the
environment, social-demographic situation and local economy. First of all,
most relevant static factors for each type of natural hazard are selected
(topography, land cover, anthropogenic objects and infrastructure). With GIS
and satellite imagery, multi-layer calculation is performed based on
available traditional equations, clustering or discreditation procedures. In
such way suitable relatively “static” natural hazard maps (models) are
produced. Then, dynamic (mostly climate related) factors are included in
previous models resulting in appropriate scenarios correlated with different
amounts of precipitation, temperature, wind direction etc. Finally, GIS based
scenarios are evaluated and tested with field check or very fine resolution
Google Earth imagery showing good accuracy. Further development of such GIS
models in connection with automatic remote meteorological stations and
dynamic satellite imagery (like MODIS) will provide on-time warning for
coming natural hazard avoiding potential damages or even causalities. |
|---|---|
| ISSN: | 0350-7599 1821-2808 |