Evaluation of the forest regeneration based on remotely sensed data interpretation
Автор: Lyubimov Alexandr, Smirnov Alexandr, Kryuchkov Andrey, Lyubimova Tatyana, Saksonov Sergey
Журнал: Известия Самарского научного центра Российской академии наук @izvestiya-ssc
Рубрика: Общая биология
Статья в выпуске: 5-3 т.18, 2016 года.
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This article is dealt with some methods of the forest regeneration evaluation based on remotely sensed imagery interpretation. Variouskindsofincrementisanalyzed for young trees of natural regeneration and cultivated areas. Project was held in Lisino research and experimental forest of the St. Petersburg state forest technical university.
Stock, biomass, database(cartographic and attribute), remotely sensed data, forest regeneration, thinnings, forecast of state
Короткий адрес: https://sciup.org/148204944
IDR: 148204944
