Tracking Individual Scots Pine (Pinus sylvestris L.) Height Growth Using Multi-Temporal ALS Data from North-Eastern Poland
نویسندگان
چکیده
In this study, we analyzed the change in tree height of 2594 Scots pine (Pinus sylvestris L.) trees with respect to distribution among different forest sites: HCfs—hydrogenic coniferous site; MCfs—mineral MMfs—mineral mixed site. We obtained information from three independent airborne laser scanning (ALS) point clouds acquired north-eastern Poland over a 5-year interval 2007, 2012, and 2017 using verified crown segments. performed comparative analysis digital terrain models (DTMs) calculated clouds, indicating that highest elevation differences were observed case data 2007. The analyses showed growth varies significantly depending on site productivity stage development, which was described as initial instead age—commonly used such studies. conclusion, it is possible indicate significant potential multitemporal ALS track individual changes. These field data, combined meteorological can be successfully predict changes abundance stands productivity. have built for each site, indicates stand height.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14174170