@article{gerdzhevaComparativeAnalysisDifferent2014,
  title = {A Comparative Analysis of Different Wildfire Risk Assessment Models (a Case Study for {{Smolyan District Bulgaria}})},
  author = {Gerdzheva, Antoniya A.},
  year = {2014},
  volume = {5},
  pages = {22--36},
  issn = {1792-1341},
  abstract = {GIS and remote sensing technologies have become valuable tools for wildfire management. During the last three decades a lot of fire risk estimation indices, based on geo-spatial technologies, have been introduced. Wildfire in each part of the Earth has its own characteristics, so weights and variables in existing risk modeling indices could not be one and the same for different region (Adab, et al, 2011). Three models for risk zone identification are chosen and applied for the territory of Smolyan district, Bulgaria, and the results for each one are compared to historical fire events. The aim is the identification of an accurate risk assessment model for the particular territory, where wildfires are a frequent hazard, causing serious damages each year.},
  journal = {European Journal of Geography},
  keywords = {~INRMM-MiD:z-ZZZYVRKP,aspect,bulgaria,fire-risk,ignition-factors,possibility,remote-sensing,risk-assessment,roads,slope,vegetation,wildfires,wildland-urban-interface},
  language = {en},
  lccn = {INRMM-MiD:z-ZZZYVRKP},
  number = {3}
}

{"_id":"E6kCDCnxs9P5Cdhrx","bibbaseid":"gerdzheva-acomparativeanalysisofdifferentwildfireriskassessmentmodelsacasestudyforsmolyandistrictbulgaria-2014","authorIDs":[],"author_short":["Gerdzheva, A. A."],"bibdata":{"bibtype":"article","type":"article","title":"A Comparative Analysis of Different Wildfire Risk Assessment Models (a Case Study for Smolyan District Bulgaria)","author":[{"propositions":[],"lastnames":["Gerdzheva"],"firstnames":["Antoniya","A."],"suffixes":[]}],"year":"2014","volume":"5","pages":"22–36","issn":"1792-1341","abstract":"GIS and remote sensing technologies have become valuable tools for wildfire management. During the last three decades a lot of fire risk estimation indices, based on geo-spatial technologies, have been introduced. Wildfire in each part of the Earth has its own characteristics, so weights and variables in existing risk modeling indices could not be one and the same for different region (Adab, et al, 2011). Three models for risk zone identification are chosen and applied for the territory of Smolyan district, Bulgaria, and the results for each one are compared to historical fire events. The aim is the identification of an accurate risk assessment model for the particular territory, where wildfires are a frequent hazard, causing serious damages each year.","journal":"European Journal of Geography","keywords":"~INRMM-MiD:z-ZZZYVRKP,aspect,bulgaria,fire-risk,ignition-factors,possibility,remote-sensing,risk-assessment,roads,slope,vegetation,wildfires,wildland-urban-interface","language":"en","lccn":"INRMM-MiD:z-ZZZYVRKP","number":"3","bibtex":"@article{gerdzhevaComparativeAnalysisDifferent2014,\n title = {A Comparative Analysis of Different Wildfire Risk Assessment Models (a Case Study for {{Smolyan District Bulgaria}})},\n author = {Gerdzheva, Antoniya A.},\n year = {2014},\n volume = {5},\n pages = {22--36},\n issn = {1792-1341},\n abstract = {GIS and remote sensing technologies have become valuable tools for wildfire management. During the last three decades a lot of fire risk estimation indices, based on geo-spatial technologies, have been introduced. Wildfire in each part of the Earth has its own characteristics, so weights and variables in existing risk modeling indices could not be one and the same for different region (Adab, et al, 2011). Three models for risk zone identification are chosen and applied for the territory of Smolyan district, Bulgaria, and the results for each one are compared to historical fire events. The aim is the identification of an accurate risk assessment model for the particular territory, where wildfires are a frequent hazard, causing serious damages each year.},\n journal = {European Journal of Geography},\n keywords = {~INRMM-MiD:z-ZZZYVRKP,aspect,bulgaria,fire-risk,ignition-factors,possibility,remote-sensing,risk-assessment,roads,slope,vegetation,wildfires,wildland-urban-interface},\n language = {en},\n lccn = {INRMM-MiD:z-ZZZYVRKP},\n number = {3}\n}\n\n","author_short":["Gerdzheva, A. A."],"key":"gerdzhevaComparativeAnalysisDifferent2014","id":"gerdzhevaComparativeAnalysisDifferent2014","bibbaseid":"gerdzheva-acomparativeanalysisofdifferentwildfireriskassessmentmodelsacasestudyforsmolyandistrictbulgaria-2014","role":"author","urls":{},"keyword":["~INRMM-MiD:z-ZZZYVRKP","aspect","bulgaria","fire-risk","ignition-factors","possibility","remote-sensing","risk-assessment","roads","slope","vegetation","wildfires","wildland-urban-interface"],"downloads":0},"bibtype":"article","biburl":"https://sharefast.me/php/download.php?id=zOUKvA&token=29","creationDate":"2020-07-03T22:46:20.690Z","downloads":0,"keywords":["~inrmm-mid:z-zzzyvrkp","aspect","bulgaria","fire-risk","ignition-factors","possibility","remote-sensing","risk-assessment","roads","slope","vegetation","wildfires","wildland-urban-interface"],"search_terms":["comparative","analysis","different","wildfire","risk","assessment","models","case","study","smolyan","district","bulgaria","gerdzheva"],"title":"A Comparative Analysis of Different Wildfire Risk Assessment Models (a Case Study for Smolyan District Bulgaria)","year":2014,"dataSources":["5S2zj2hKW8TWTkuMq"]}