scholarly journals Classification of the Hyrcanian forest vegetation, Northern Iran

2020 ◽  
Vol 23 (1) ◽  
pp. 107-126 ◽  
Author(s):  
Hamid Gholizadeh ◽  
Alireza Naqinezhad ◽  
Milan Chytrý
Keyword(s):  
Forest Vegetation ◽  
Hyrcanian Forest ◽  
Northern Iran

scholarly journals Methods for separating orchards from forest using airborne LiDAR

2021 ◽  
Vol 78 (4) ◽  
Author(s):  
Tomasz Hycza ◽  
Przemysław Kupidura
Keyword(s):  
Climate Change ◽  
International Organizations ◽  
Laser Scanning ◽  
Pattern Analysis ◽  
Data Bank ◽  
Forest Vegetation ◽  
Forest Area ◽  
Airborne Laser ◽  
Granulometric Analysis

Abstract • Key message The aim of the study was to distinguish orchards from other lands with forest vegetation based on the data from airborne laser scanning. The methods based on granulometry provided better results than the pattern analysis. The analysis based on the Forest Data Bank/Cadastre polygons provided better results than the analysis based on the segmentation polygons. Classification of orchards and other areas with forest vegetation is important in the context of reporting forest area to international organizations, forest management, and mitigating effects of climate change. • Context Agricultural lands with forest vegetation, e.g., orchards, do not constitute forests according to the forest definition formulated by the national and international definitions, but contrary to the one formulated in the Kyoto Protocol. It is a reason for the inconsistency in the forest area reported by individual countries. • Aims The aim of the study was to distinguish orchards from other lands with forest vegetation based on the data from airborne laser scanning. • Methods The study analyzed the usefulness of various laser scanning products and the various features of pattern and granulometric analysis in the Milicz forest district in Poland. • Results The methods based on granulometry provided better results than the pattern analysis. The analysis based on the Forest Data Bank/Cadastre polygons provided better results than the analysis based on the segmentation polygons. • Conclusion Granulometric analysis has proved to be a useful tool in the classification of orchards and other areas with forest vegetation. It is important in the context of reporting forest area to international organizations, forest management, and mitigating effects of climate change.

scholarly journals Classification of the Mediterranean lowland to submontane pine forest vegetation

2020 ◽  
Author(s):  
Gianmaria Bonari ◽  
Federico Fernández‐González ◽  
Süleyman Çoban ◽  
Tiago Monteiro‐Henriques ◽  
Erwin Bergmeier ◽  
...  
Keyword(s):  
Pine Forest ◽  
Forest Vegetation ◽  
The Mediterranean
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