Applications of hemispherical photographs in studies of forest ecology

Teng Chiu Lin*, Jyh Min Chiang

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

7 引文 斯高帕斯(Scopus)

摘要

Undercanopy hemispherical photographs provide permanent records of canopy structure, and as such have great potential for studies of forest canopy dynamics. Rapid computerized image analysis has facilitated studies of undercanopy light environments and the canopy leaf area index (LAI). Temporal and spatial variations in the undercanopy light environment and canopy LAI derived from hemispherical photographs have been used to study recovery rates of forest canopies after disturbance, seedling growth, habitat quality, forest productivity, and plant ecophysiology. The orientation and range of hemispherical photographs greatly affect estimates of light indices. A self-leveling mount equipped with an LED (light-emitting diode) should be used to level the hemispherical lens and to identify the range of the image. To obtain the best contrast possible, which is critical for image classification and the most important process in image analysis, photographs should be acquired either early in the morning just before sunrise, just after sunset but prior to dusk, or on overcast days. Obtaining images with high contrast can save time and increase the efficiency and accuracy of the image analysis. Consistency of individual analyzers is critical especially when photographs from different sites are to be compared; it could be improved by re-analyzing small numbers of photographs. Undercanopy light levels often show spatial autocorrelation and lack of independence; and therefore violate assumptions required for many statistical procedures; they must be treated explicitly. In addition, the light environment estimated from hemispherical photographs does not take into account sky conditions, so such data from different sites must be compared with care.

原文英語
頁(從 - 到)387-400
頁數14
期刊Taiwan Journal of Forest Science
17
發行號3
出版狀態已發佈 - 2002 9月
對外發佈

ASJC Scopus subject areas

  • 森林科學

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