GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia
Само за регистроване кориснике
2017
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In this paper, an approach of Geographic Information System (GIS) and Remote Sensing (RS) assessment of potential natural hazards (excessive erosion, landslides, torrential floods and forest fires) is presented. For that purpose the Kriva River catchment in the northeastern part of the Republic of Macedonia is selected as a study area because of high local impact of natural hazards on the environment, socio-demographic situation and local economy. First of all, the most relevant static factors for each type of natural hazard are identified (topography, land cover, man-made structures 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 and land use related) factors are included in previous models resulting in appropriate models. Finally, GIS-based models a...re evaluated and tested with field check or visually on very fine resolution (0.5 m) orthophoto imagery, showing acceptable accuracy. At the end, with combination and overlapping of high risk zones for each hazard type, multi-hazard map (model) is created. The creation of a multi-hazard map is the first important task for the prevention and mitigation of natural hazards in the risk-prone area. Further development of such GIS models in connection with meteorological stations and dynamic satellite imagery (like MODIS) will provide on-time (early) warning for upcoming natural hazards minimizing potential damage. The obtained results could be applied in the field of spatial and urban planning, water and soil management, etc.
Кључне речи:
natural hazards / erosion / floods / forest fires / multi-hazard mapИзвор:
Zeitschrift fur Geomorphologie, 2017, 61, 213-228Издавач:
- Gebruder Borntraeger, Stuttgart
DOI: 10.1127/zfg_suppl/2016/0364
ISSN: 0372-8854
WoS: 000417964400013
Scopus: 2-s2.0-85036540443
Колекције
Институција/група
Geografski fakultetTY - JOUR AU - Milevski, Ivica AU - Dragićević, Slavoljub AU - Radevski, Ivan PY - 2017 UR - https://gery.gef.bg.ac.rs/handle/123456789/815 AB - In this paper, an approach of Geographic Information System (GIS) and Remote Sensing (RS) assessment of potential natural hazards (excessive erosion, landslides, torrential floods and forest fires) is presented. For that purpose the Kriva River catchment in the northeastern part of the Republic of Macedonia is selected as a study area because of high local impact of natural hazards on the environment, socio-demographic situation and local economy. First of all, the most relevant static factors for each type of natural hazard are identified (topography, land cover, man-made structures 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 and land use related) factors are included in previous models resulting in appropriate models. Finally, GIS-based models are evaluated and tested with field check or visually on very fine resolution (0.5 m) orthophoto imagery, showing acceptable accuracy. At the end, with combination and overlapping of high risk zones for each hazard type, multi-hazard map (model) is created. The creation of a multi-hazard map is the first important task for the prevention and mitigation of natural hazards in the risk-prone area. Further development of such GIS models in connection with meteorological stations and dynamic satellite imagery (like MODIS) will provide on-time (early) warning for upcoming natural hazards minimizing potential damage. The obtained results could be applied in the field of spatial and urban planning, water and soil management, etc. PB - Gebruder Borntraeger, Stuttgart T2 - Zeitschrift fur Geomorphologie T1 - GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia VL - 61 SP - 213 EP - 228 DO - 10.1127/zfg_suppl/2016/0364 UR - https://hdl.handle.net/21.15107/rcub_gery_815 ER -
@article{ author = "Milevski, Ivica and Dragićević, Slavoljub and Radevski, Ivan", year = "2017", abstract = "In this paper, an approach of Geographic Information System (GIS) and Remote Sensing (RS) assessment of potential natural hazards (excessive erosion, landslides, torrential floods and forest fires) is presented. For that purpose the Kriva River catchment in the northeastern part of the Republic of Macedonia is selected as a study area because of high local impact of natural hazards on the environment, socio-demographic situation and local economy. First of all, the most relevant static factors for each type of natural hazard are identified (topography, land cover, man-made structures 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 and land use related) factors are included in previous models resulting in appropriate models. Finally, GIS-based models are evaluated and tested with field check or visually on very fine resolution (0.5 m) orthophoto imagery, showing acceptable accuracy. At the end, with combination and overlapping of high risk zones for each hazard type, multi-hazard map (model) is created. The creation of a multi-hazard map is the first important task for the prevention and mitigation of natural hazards in the risk-prone area. Further development of such GIS models in connection with meteorological stations and dynamic satellite imagery (like MODIS) will provide on-time (early) warning for upcoming natural hazards minimizing potential damage. The obtained results could be applied in the field of spatial and urban planning, water and soil management, etc.", publisher = "Gebruder Borntraeger, Stuttgart", journal = "Zeitschrift fur Geomorphologie", title = "GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia", volume = "61", pages = "213-228", doi = "10.1127/zfg_suppl/2016/0364", url = "https://hdl.handle.net/21.15107/rcub_gery_815" }
Milevski, I., Dragićević, S.,& Radevski, I.. (2017). GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia. in Zeitschrift fur Geomorphologie Gebruder Borntraeger, Stuttgart., 61, 213-228. https://doi.org/10.1127/zfg_suppl/2016/0364 https://hdl.handle.net/21.15107/rcub_gery_815
Milevski I, Dragićević S, Radevski I. GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia. in Zeitschrift fur Geomorphologie. 2017;61:213-228. doi:10.1127/zfg_suppl/2016/0364 https://hdl.handle.net/21.15107/rcub_gery_815 .
Milevski, Ivica, Dragićević, Slavoljub, Radevski, Ivan, "GIS and Remote Sensing based natural hazard modelling of Kriva River catchment, Republic of Macedonia" in Zeitschrift fur Geomorphologie, 61 (2017):213-228, https://doi.org/10.1127/zfg_suppl/2016/0364 ., https://hdl.handle.net/21.15107/rcub_gery_815 .