A case study about the forest fire occurred on 05 July 2021 over Khenchela province, Algeria, using space-borne remote sensingdoi:10.3389/frsen.2023.1289963Guehaz, RiadSivakumar, VenkataramanFrontiers in Remote Sensing
In this study fuzzy sets and fuzzy logic algebra were used in mapping the fire risky areas on a regional basis for Turkey. Three membership functions were used in the evaluation of the long term forest fire risk. 展开 DOI: http://dx.doi.org/ 被引量: 2 ...
Forest and grassland fires are one of the major natural hazards in the West and North of Iran.The aim of the present study is to set up,assess and validate Hybrid Fire Index as a new fire risk index over Golestan province.This site frequ... H Adab,KD Kanniah,K Solaimani 被引量: ...
The Impact Of A Forest Fire On The Air Pollution Of An Urban Area: A Case-Study For Athens, GreeceForest fireair pollutioncarsmotor vehiclesozonesmokeIn recent years Athens experienced severe air quality problems which are mostly attributed to motor vehicles and central heating. In addition to ...
Forest and Land Fires in Riau Province: A Case Study in Fire Prevention Policy Implementation with Local Concession Holdersdoi:10.1007/978-3-319-67474-2_8During the last 5 years (2010–2014), the frequency of forest and land fires in the Riau province had increased significantly each year. ...
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Preparation map of Forest Fire Risk Using SVM, RF & MLP Algorithms (Case Study: Golestan National Park, Northeastern Iran) 来自 钛学术 喜欢 0 阅读量: 19 作者: Mohammad Amin Eshaghi,Shaban Shataee 摘要: Background and objectives: Spatial prediction of fire risk and preparing the forest fire ...
The objective of this study was to evaluate how the distance between burned and unburned forest patches influences bird assemblages in the piedmont forest of the Southern Andean Yungas in Northwest Argentina. This objective was achieved by: (1) determining and comparing the bird assemblages in fire...
We are going to study a set of data used to predict the total burnt area of forest fires. According to specialists in metearology, the 4 main variables in weather for this case is wind, relative humidity, temperature and rain. Other variables in this dat
We found this to be true in our study when modeling emissions with Consume, but still found LANDFIRE-FCCS to produce higher emissions values when modeled using FOFEM. In another study that compared classification, mapping accuracy, and fuel loadings of LANDFIRE-FCCS and LANDFIRE-FLM to Forest ...