Zobrazeno 1 - 10
of 273
pro vyhledávání: '"fire prediction"'
Publikováno v:
Pilar Nusa Mandiri, Vol 20, Iss 2, Pp 103-110 (2024)
Climate change and increasing global temperatures have increased the frequency and intensity of forest fires, making fire risk evaluation increasingly important. This study aims to improve the accuracy of predicting forest fuel drought conditions (Dr
Externí odkaz:
https://doaj.org/article/44802a6a7dcf4196b6d60e99fecf3252
Publikováno v:
Dyna, Vol 91, Iss 232 (2024)
Forest fires are becoming increasingly frequent throughout the globe, influencing socioeconomic and environmental aspects and endangering ecosystems and life. The forest fire risk zoning is an auxiliary tool for elaborating and implementing preventiv
Externí odkaz:
https://doaj.org/article/95ec023f3bf743a4878c027684ca5da3
Autor:
Xuan Sun, Ning Li, Duoqi Chen, Guang Chen, Changjun Sun, Mulin Shi, Xuehong Gao, Kuo Wang, Ibrahim M. Hezam
Publikováno v:
IEEE Access, Vol 12, Pp 55389-55403 (2024)
Forest fires constitute a widespread and impactful natural disaster, annually ravaging millions of hectares of forests and posing a severe threat to human life and property. Accurate quantitative prediction of forest fire spread is essential for devi
Externí odkaz:
https://doaj.org/article/3526748e06d6460f9a5f41b131b9e4d9
Publikováno v:
Forests, Vol 15, Iss 9, p 1672 (2024)
Forest fires are a major natural calamity that inflict substantial harm on forest resources and the socio-economic landscape. The eastern region of China is particularly susceptible to frequent forest fires, characterized by high population density a
Externí odkaz:
https://doaj.org/article/20657f31400e42bf8ec3fe118ce1224a
Publikováno v:
Forests, Vol 15, Iss 9, p 1493 (2024)
Due to its unique geographical and climatic conditions, the Liangshan Prefecture region is highly prone to large fires. There is an urgent need to study the growth rate of fire-burned areas to fill the research gap in this region. To address this iss
Externí odkaz:
https://doaj.org/article/d9f11dca43304e108d19bec3175486e1
Publikováno v:
Environment International, Vol 184, Iss , Pp 108439- (2024)
Microwaves have the advantage of penetrating vegetation and exhibit sensitivity to properties such as vegetation water content (VWC); yet, their potential utility in the fire domain is infrequently investigated. This study elucidates the different im
Externí odkaz:
https://doaj.org/article/4031c3be388e4c3a878dfdd8232f66d4
Publikováno v:
HardwareX, Vol 16, Iss , Pp e00479- (2023)
This paper presents a customized UAV designed for rescue and safety purposes in the forest sector. The UAV features a durable F450 frame quadcopter with four 1000KV brushless motors and a KK2.1 Flight Control Board for stability and manoeuvrability w
Externí odkaz:
https://doaj.org/article/573efb85007d409489620b270b340d70
Autor:
Yihong Yuan, Andrew Grayson Wylie
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 5, p 149 (2024)
This study examines urban fire incidents in Austin, Texas using machine learning (Random Forest) and time series (Autoregressive integrated moving average, ARIMA) methods for predictive modeling. Based on a dataset from the City of Austin Fire Depart
Externí odkaz:
https://doaj.org/article/395087b1cc684fe480ec623fdca2a2d6
Publikováno v:
Meikuang Anquan, Vol 53, Iss 11, Pp 98-102 (2022)
The characteristics of tunable diode laser absorption spectroscopy (TDLAS) gas detection technology are high resolution, low detection limit and fast response speed, it has been widely used in on-line monitoring of ambient gases. The gas composition
Externí odkaz:
https://doaj.org/article/28f3eb81f3b64f5381e780998331b2d2
Publikováno v:
Forests, Vol 15, Iss 2, p 265 (2024)
Forest fires in the southern region of China pose significant threats to ecological balance, human safety, and socio-economic stability. Forecast zoning the occurrence of these fires is crucial for timely and effective response measures. This study e
Externí odkaz:
https://doaj.org/article/8c5922bc4d9d431594769382a11e7fd4