4.7 Article

Ecologically relevant canopy openness from hemispherical photographs

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Multidisciplinary Sciences

A field test of forest canopy structure measurements with the CanopyCapture smartphone application

Christopher H. Lusk

Summary: CanopyCapture is an application that can rapidly estimate the canopy gap fraction without any user input and has an intuitive leveling mechanism. It can be used to compare the average canopy gap fraction in different stands/forests, but it has low sensitivity for high-resolution comparisons of the light environments of individual understorey plants within a stand.
Article Environmental Sciences

Temperature buffering in temperate forests: Comparing microclimate models based on ground measurements with active and passive remote sensing

Vit Kaspar et al.

Summary: Canopy variables obtained from unmanned aerial systems and LiDAR can be used for forest microclimate modeling, with UAS equipped with inexpensive optical cameras providing high spatial resolution microclimatic data for biologically relevant predictions of species responses to climate change.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Biodiversity Conservation

Microclimatic buffering in forests of the future: the role of local water balance

Kimberley T. Davis et al.

ECOGRAPHY (2019)

Article Agronomy

A comparison of ground-based methods for estimating canopy closure for use in phenology research

Alison M. Smith et al.

AGRICULTURAL AND FOREST METEOROLOGY (2018)

Article Plant Sciences

Field test of canopy cover estimation by hemispherical photographs taken with a smartphone

Lubomir Tichy

JOURNAL OF VEGETATION SCIENCE (2016)

Article Agronomy

Determining digital hemispherical photograph exposure for leaf area index estimation

YQ Zhang et al.

AGRICULTURAL AND FOREST METEOROLOGY (2005)

Article Agronomy

Automatic thresholding for hemispherical canopy-photographs based on edge detection

M Nobis et al.

AGRICULTURAL AND FOREST METEOROLOGY (2005)

Article Energy & Fuels

Models of sky radiance distribution and sky luminance distribution

N Igawa et al.

SOLAR ENERGY (2004)