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Evaluating Post-Fire Vegetation Recovery in Cajander Larch Forests in Northeastern Siberia Using UAV Derived Vegetation Indices
Larix cajanderi Siberia wildfire drones uncrewed aerial vehicle NDVI GCC normalized difference vegetation index green chromatic coordinate
2023/12/18
The ability to monitor post-fire ecological responses and associated vegetation cover change is crucial to understanding how boreal forests respond to wildfire under changing climate conditions. Uncre...
Coupling Photosynthetic Measurements with Biometric Data to Estimate Gross Primary Productivity (GPP) in Mediterranean Pine Forests of Different Post-Fire Age
Pinus brutia carbon fluxes leaf area index light response curve conifer forests
2023/12/15
Quantification of forest Gross Primary Productivity (GPP) is important for understanding ecosystem function and designing appropriate carbon mitigation strategies. Coupling forest biometric data with ...
Decision Support System Development of Wildland Fire: A Systematic Mapping
wildland fire forest fire decision support systems systematic mapping
2023/12/7
Wildland fires have been a rising problem on the worldwide level, generating ecological and economic losses. Specifically, between wildland fire types, uncontrolled fires are critical due to the poten...
Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery
forest fire remote sensing smoke segmentation Smoke-Unet attention mechanism residual block Landsat-8 band sensibility
2023/12/5
Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well as the ecological balance and fire products based on remote sensing satellite data have developed rapidly...
Development of Semantic Maps of Vegetation Cover from UAV Images to Support Planning and Management in Fine-Grained Fire-Prone Landscapes
U-Net convolutional neural network (CNN) shrub detection heterogeneous land cover mapping UAV imagery Mediterranean forest
2023/12/1
In Mediterranean landscapes, the encroachment of pyrophytic shrubs is a driver of more frequent and larger wildfires. The high-resolution mapping of vegetation cover is essential for sustainable land ...
Forest Farm Fire Drone Monitoring System Based on Deep Learning and Unmanned Aerial Vehicle Imagery
Forest Farm Fire Monitoring System Deep Learning
2023/12/1
Forest fires represent one of the main problems threatening forest sustainability. Therefore, an early prevention system of forest fire is urgently needed. To address the problem of forest farm fire m...
Evaluation of UAV Based Schemes for Forest Fire Monitoring
Forestfiremonitoring UAV Mechatronicevaluation
2024/2/28
This paper presents a mechatronic evaluation of forest fire monitoring systems based on UAV. To begin with, a mapping of the requirements to the mechatronic abilities, which should be embodied by thes...
IMPROVEMENT OF FOREST FIRE DETECTION ALGORITHM USING BRIGHTNESS TEMPERATURE LAPSE RATE CORRECTION IN HIMAWARI-8 IR CHANNELS: APPLICATION TO THE 6 MAY 2017 SAMCHEOK CITY, KOREA
Forest Fire Himawari-8 Brightness Temperature Lapse Rate Height Correction
2018/5/15
Forest fires are a major natural disaster that destroys a forest area and a natural environment. In order to minimize the damage caused by the forest fire, it is necessary to know the location and the...
3-DIMENSIONAL PRE- AND POST-FIRE COMPARISON OF FOREST AREAS
Forest fire VHR satellite imagery orientation image matching DSM generation 3D change detection
2018/5/8
Forest agencies give special attention to forest fires where post-disaster loss can rarely be gauged in a quick and economic way unless an appropriate technology is adopted. Determination of the plani...
Evaluation of forest fire risk using the Apriori algorithm and fuzzy c-means clustering
wildfire association rules fuzzification Ilam Province Iran
2018/3/6
In this study we evaluated forest fire risk in the west of Iran using the Apriori algorithm and fuzzy c-means (FCM)
clustering. We used twelve different input parameters to model fire risk in Ilam Pr...
Tree-bark thickness indicates fire-resistance in a hotter future
Tree-bark thickness fire-resistance hotter future
2017/2/16
A new study has found that trees worldwide develop thicker bark when they live in fire-prone areas. The findings suggest that bark thickness could help predict which forests and savannas will survive ...
Automated procedure to assess the susceptibility of forest to fire
NetWeaver protection of persons and property
2015/7/2
The paper deals with the introduction of DSS tools and methodological approach that was developed in the
framework of a dissertation thesis, aimed at the problem of assessment of forest susceptibili...
Modelling and analyzing the surface fire behaviour in Hyrcanian forest of Iran
burned area forest fire litter thickness
2015/5/5
The purpose of this study was to assess the forest fire behaviour and investigate the impact of different
parameters on the spread of surface fire in the Hyrcanian forest of Iran. Surface fire was s...
Spatial-temporal distribution of forest fires and fire weather index calculation from 2000 to 2009 in China
Sanming spatial-temporal distribution CFFDRS
2015/4/24
This paper describes the forest fire dynamics in the city of Sanming in Fujian province, China, from 2000 to 2009 with a view to understand the number of fires and burned areas in different counties. ...
Discovery: Tropical fire ants traveled the world on 16th-century ships
Tropical fire ants traveled the world 16th-century ships
2015/3/4
Their study, reported in the journal Molecular Ecology, reveals that 16th-century Spanish galleons shuttled tropical fire ants from Acapulco, Mexico, across the Pacific to the Philippines, and from th...