Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shaban Shataee Jouibary"'
Publikováno v:
Journal of Forest Science, Vol 69, Iss 6, Pp 229-243 (2023)
Designing and constructing a road network is one of the most critical steps of the development process in managing natural resources. The current research is going to investigate the application of network connectivity indices to the analysis of road
Externí odkaz:
https://doaj.org/article/9b5c34099ef74e4fadc5a7ea4da12e60
Publikováno v:
Journal of Forest Science, Vol 64, Iss 11, Pp 469-477 (2018)
Today, differential geographical position system and total station devices are improving the accuracy of positioning information, but in critical locations such as steep slopes and closed canopy cover, the device accuracy is limited. Moreover, field
Externí odkaz:
https://doaj.org/article/cfe878e7ac3348d6a4b9d45898cf90d1
Publikováno v:
Journal of Environmental Engineering and Landscape Management, Vol 25, Iss 4 (2017)
The aim of this study is fire hazard zoning the Chehel-Chay watershed and analysis of road network in order to fire-fighting management. Using effective factors on fire occurrence, the fire hazard map of the study area produced by support vector mach
Externí odkaz:
https://doaj.org/article/faa8d8e0ca6f445e9fc7e1b3658a2baa
Autor:
Remazan Ali Khorrami, Ali Asghar Darvishsefat, Masoud Tabari Kochaksaraei, Shaban Shataee Jouibary
Publikováno v:
تحقیقات جنگل و صنوبر ایران, Vol 23, Iss 2, Pp 269-278 (2015)
In this research, the possibility of application of LiDAR-derived characteristics has been studied for discrimination amongst common hornbeam (Carpinus betulus) and Persian maple (Acer velutinum) trees. LiDAR data of individual sample trees were sepa
Externí odkaz:
https://doaj.org/article/c21d96e3f40b447f88213a10d836d0c9
Autor:
Nematollah Kohestani, Shafagh Rastgar, Ghodratolla Heydari, Shaban Shataee Jouibary, Hamid Amirnejad
Publikováno v:
Environment, Development and Sustainability.
Mapping wildfire risk using proper models and algorithms is one of the top execution priorities for forest managers to prevent wildfires before fires occur. This study evaluates the abilities of the Artificial Neural Network (ANN), Support Vector Mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c15e897cbb7d5dafec5ea449dd69268
https://doi.org/10.21203/rs.3.rs-2871614/v1
https://doi.org/10.21203/rs.3.rs-2871614/v1
Publikováno v:
Forest Science.
Accurate estimation of total aboveground biomass (TAGB) is an important challenge in evaluating and monitoring tree biomass. Thus, developing species-specific allometric models is essential. This study aimed to predict tree-level TAGB for Pinus bruti
Publikováno v:
ICFBR 2022.
Publikováno v:
Journal of Applied Remote Sensing. 14:1
The forest structural attributes are required information for sustainable forest management. The use of different remote sensing sources has been investigated intensively as a new potential and an alternative for the forest stand characteristics esti
Publikováno v:
Remote Sensing Applications: Society and Environment. 18:100289
The Buxus Hyrcania stands in the Hyrcanian forests have been infested by Buxus blight pathogen in recent years. Determination of the rate, and finding the spatial distribution of infested trees, is very important for control and treatment management.