J
Javad Soosani
Researcher at Lorestan University
Publications - 21
Citations - 247
Javad Soosani is an academic researcher from Lorestan University. The author has contributed to research in topics: Forest management & Point cloud. The author has an hindex of 5, co-authored 18 publications receiving 164 citations.
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Journal ArticleDOI
Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)
TL;DR: The results showed that the AGB models derived from the combination of the Sentinel-2A and the ALOS-2 PALSAR-2 data had the highest accuracy, followed by models using the Sentinel -2A dataset and the AlOS- 2 PALSar-2 dataset.
Journal ArticleDOI
An incomplete information static game evaluating community-based forest management in Zagros, Iran
Mehdi Zandebasiri,José Filipe,Javad Soosani,Mehdi Pourhashemi,Luca Salvati,Mário Nuno Mata,Pedro Neves Mata +6 more
TL;DR: The results of the NBE analytical strategy show that landscape protection with barbed wires is the most used strategy in local forest management, suggesting that social acceptance is an adaptive goal in forest management plans.
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Relative contribution of vegetation types to regional biodiversity in Central Zagross forests of Iran
TL;DR: In this paper, a case study of Darenasab (Hashtadpahloo) forest catchment with domi- nated oak species in Mediterranean forests of Zagross in Iran is presented.
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Canopy cover estimation across semi-Mediterranean woodlands: application of high-resolution earth observation data
H Naghavi,Asghar Fallah,Shaban Shataee,Hooman Latifi,Javad Soosani,Habib Ramezani,Christopher Conrad +6 more
TL;DR: In this article, the authors combined ground samples and Quickbird imagery for mapping the canopy cover in a portion of unmanaged Quercus brantii stands in western Iran, and applied the random forest (RF) and support vector machines (SVM) for modeling.
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Forest park site selection based on a Fuzzy analytic hierarchy process framework (Case study: the Galegol Basin, Lorestan province, Iran)
TL;DR: The final results showed that most of the study area is moderately suitable for the forest park location problem and can be valuable in the planning of local forest park and future land use planning.