New forest fire assessment model based on artificial neural network and analytic hierarchy process or fuzzy-analytic hierarchy process methodology for fire …
M Tahri, S Badr, Z Mohammadi, J Kašpar… - … Applications of Artificial …, 2024 - Elsevier
Forest fires significantly disrupt global ecosystems. Many forecasting techniques predict fire
activity and allocate prevention resources, but various factors are missing from the …
activity and allocate prevention resources, but various factors are missing from the …
Canadian forests are more conducive to high-severity fires in recent decades
Canada has experienced more-intense and longer fire seasons with more-frequent
uncontrollable wildfires over the past decades. However, the effect of these changes …
uncontrollable wildfires over the past decades. However, the effect of these changes …
Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basin
Wildfires pose significant threats worldwide, requiring accurate prediction for mitigation. This
study uses machine learning techniques to forecast wildfire severity in the Upper Colorado …
study uses machine learning techniques to forecast wildfire severity in the Upper Colorado …
Characterizing Topographic Influences of Bushfire Severity Using Machine Learning Models: A Case Study in a Hilly Terrain of Victoria, Australia
Topography plays a significant role in determining bushfire severity over a hilly landscape.
However, complex interrelationships between topographic variables and bushfire severity …
However, complex interrelationships between topographic variables and bushfire severity …
Determination of Fire Severity and Deduction of Influence Factors Through Landsat-8 Satellite Image Analysis-A Case Study of Gangneung and Donghae Forest Fires
SD Lee, GS Park, CH Oh, BG Cho… - Korean Journal of …, 2024 - koreascience.kr
In order to manage large-scale forest fires concentrated in Gangwon-do and
Gyeongsangbuk-do with severe topographical heterogeneity, a decision-making process …
Gyeongsangbuk-do with severe topographical heterogeneity, a decision-making process …
Assessment of burn severity and monitoring of the wildfire recovery process in Mongolia
Due to the intensification of climate change around the world, the incidence of natural
disasters is increasing year by year, and monitoring, forecasting, and detecting evolution …
disasters is increasing year by year, and monitoring, forecasting, and detecting evolution …
The Assessment of Burn Severity and Monitoring of Recovery Process of Wildfire in Mongolia
Due to the intensification of climate change in the world, the incidence of natural disasters is
increasing year by year, and monitoring, forecasting, and detecting evolution using satellite …
increasing year by year, and monitoring, forecasting, and detecting evolution using satellite …
Landsat-8 위성영상 분석을 통한 산불피해 심각도 판정 및 영향 인자 도출-강릉, 동해 산불을 사례로
이수동， 박경식， 오충현， 조봉교， 유병혁 - 한국환경생태학회지, 2024 - kiss.kstudy.com
지형적인 이질성이 심한 강원도, 경상북도에 집중되고 있는 대형 산불을 관리하기 위해서는
위성 영상을 활용하여 효율적이고 신속한 피해 평가를 통한 의사 결정 과정이 필수적이다. 이에 …
위성 영상을 활용하여 효율적이고 신속한 피해 평가를 통한 의사 결정 과정이 필수적이다. 이에 …
Modélisation de la régénération après-feu de l'épinette noire par télédétection
E Voyer-Leblanc - 2024 - papyrus.bib.umontreal.ca
Les feux sont le moteur principal de la régénération naturelle des peuplements dans la forêt
boréale. Cependant, les changements climatiques anticipés risquent de modifier leur …
boréale. Cependant, les changements climatiques anticipés risquent de modifier leur …