Digital hemispherical photography for estimating forest canopy properties: current controversies and opportunities

By Francesco Chianucci, A. Cutini. 2012

131 citations recorded by the source corpus.

Abstract: Hemispherical photography has been used since the 1960s in forest ecology. Nevertheless, specific constraints related to film cameras have progressively prevented widespread adoption of this photographic method. Advances in digital photographic technology hold great promise to overcome the major drawbacks of hemispherical photography, particularly regarding field techniques and image processing aspects. This contribution is aimed to: (i) provide a basic foreground of digital hemispherical photography; (ii) illustrate the major strengths and weakness of the method; (iii) provide an reliable protocol for image acquisition and analysis, to get the most out of using hemispherical photography for canopy properties extraction.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/97ee9aefd8f54ca3a4cf44a0718992fa27d097fb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Mathias I. Disney
2. William Woodgate
3. John Armston
4. B. Cooke
5. Rob S. Skakun
6. R. Hall
7. Guillermo Castilla
8. Joanne C. White

In Environmental Engineering

1. Mathias I. Disney
2. Kim Calders
3. B. Cooke
4. Rob S. Skakun
5. R. Hall
6. Guillermo Castilla
7. Joanne C. White

Citations in the corpus

• Variability and bias in active and passive ground-based measurements of effective plant, wood and leaf area index (2018, methodology): “The camera settings were selected based on recommendations from the literature (Woodgate et al., 2015b; Promis et al., 2011; Pueschel et al., 2012; Chianucci and Cutini, 2012; Glatthorn and Beckschäfer, 2014).”
• Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective* (2016, background): “…which is customarily used to derive leaf area index and other biophysical parameters using semi-automated algorithms embedded in both commercial and free software (Chianucci and Cutini 2012); or even from photogrammetric point clouds (see 6 below) derived from hand-held cameras (Liang et al. 2014).”