Using digital cameras for comparative phenological monitoring in an evergreen broad-leaved forest and a seasonal rain forest

Zhao, Junbin; Zhang, Yiping; Tan, Zheng-Hong; Song, Qinghai; Liang, Naishen; Yu, Lei

doi:10.1016/j.ecoinf.2012.03.001

Cited by 43 publications

(32 citation statements)

References 37 publications

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“…Current records of CO 2 fluxes between forests and the tropospheric atmosphere are limited to two sites, which do not allow the full heterogeneity of UK trees to be accounted for and are therefore insufficient for a full-evidence based management system to support policy decisions on how forests are used in climate change mitigation. Although further work is to be conducted using this network of cameras, this study joins others who have used cameras to capture leaf emergence and green-up (e.g., [34,50,53]) as well as senescence (e.g., [36,50]). Such studies point to the possibility of using other combinations of spectral channels (e.g., Zhao et [45]).…”

Section: Discussionmentioning

confidence: 99%

“…Using a network such as that offered here meets the requirements for a spatially dense set of observations that are geographically widespread but comply with standardised rules [36]. Cameras fill in the large scale-gap that exists between observers who tend to focus on one tree and the satellite-derived data which are useful at the ecosystem scale [50].…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, simple image processing techniques are making standard the use of digital cameras for the detection of phenological events [15,[34][35][36], particularly since these cameras can be networked. As such they represent an easily acquired resource for augmenting large scale phenology monitoring based on the principles of near-surface remote sensing with a spatial coverage afforded by communications technologies [28,37].…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams

et al. 2013

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Phenological metrics are of potential value as direct indicators of climate change. Usually they are obtained via either satellite imaging or ground based manual measurements; both are bespoke and therefore costly and have problems associated with scale and quality. An increase in the use of camera networks for monitoring infrastructure offers a means of obtaining images for use in phenological studies, where the only necessary outlay would be for data transfer, storage, processing and display. Here a pilot study is described that uses image data from a traffic monitoring network to demonstrate that it is possible to obtain usable information from the data captured. There are several challenges in using this network of cameras for automatic extraction of phenological metrics, not least, the low quality of the images and frequent camera motion. Although questions remain to be answered concerning the optimal employment of these cameras, this work illustrates that, in principle, image data from camera networks such as these could be used as a means of tracking environmental change in a low cost, highly automated and scalable manner that would require little human involvement.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams

et al. 2013

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“…The average digital number for each red-green-blue (RGB) color channel within the ROI was used to calculate the green chromatic coordinate (Gcc) vegetation index. Green chromatic coordinate is robust to variations in weather and light illumination (Sonnentag 2012) and has been used to characterize phenophase and variations in vegetation (Richardson et al 2009, Zhao et al 2012. Woebbecke et al 1995) In addition to vegetation phenology, imagery captured at DRW, a ground-water fed slough, was assessed for hydrological changes by quantifying water inundation through image classification because the site does not have a stream gauge, and thus, changes in hydrology were previously unmeasured.…”

Section: Image-analysis: Vegetation Dynamics and Water Inundationmentioning

confidence: 99%

“…Time-lapse imagery has evolved as a multifunctional technique for visual documentation and quantitative investigation, aiding both scientific inquiry and science communication. It is widely used to document trend, condition (Bradley et al 2010), and to quantitatively assess ecosystem changes across a wide range of systems including glacial fluctuations (Byers 2007), grassland processes (Migliavacca et al 2011), and forest phenology (Zhao et al 2012, Richardson et al 2009, Sonnentag et al 2012. In aquatic systems, time-lapse technology was used to measure the growth of Staghorn coral (Barnes and Crossland 1980), whereas Bellwood et al (2006) discovered through the use of time-lapse video that a particular batfish species plays a significant role in coral reef recovery (Bellwood et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics

Buckley¹,

Allen²,

Forsberg³

et al. 2017

E&S

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ABSTRACT. We investigate the scientific and communicative value of time-lapse imagery by exploring applications for data collection and visualization. Time-lapse imagery has a myriad of possible applications to study and depict ecosystems and can operate at unique temporal and spatial scales to bridge the gap between large-scale satellite imagery projects and observational field research. Time-lapse data sequences, linking time-lapse imagery with data visualization, have the ability to make data come alive for a wider audience by connecting abstract numbers to images that root data in time and place. Utilizing imagery from the Platte Basin Timelapse Project, water inundation and vegetation phenology metrics are quantified via image analysis and then paired with passive monitoring data, including streamflow and water chemistry. Dynamic and interactive time-lapse data sequences elucidate the visible and invisible ecological dynamics of a significantly altered yet internationally important river system in central Nebraska.

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Soil respiration in an old‐growth subtropical forest: Patterns, components, and controls

et al. 2013

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[1] The patterns, components, and controls of soil respiration in an old-growth subtropical forest were investigated using an automatic chamber system. We measured soil respiration in three treatments (control, trenching, litter removal) over 15 months. The annual total soil respiration (1248 gC m -2 yr -1 ) showed considerable spatial variation (coefficient of variation = 27.8%) within the forest. Thirty samples were required to obtain results within 10% of the mean value at a 95% confidential level. A distinctive cosine-like diel pattern of soil respiration was observed; the time lag between gross primary production and soil respiration at this scale was calculated to be 4-5 h. Seasonality of soil respiration was strong (~1 mmol m -2 s -1 near the end of winter;~6 mmol m -2 s -1 in midsummer). No time lag was discerned between gross primary production and soil respiration at the seasonal scale. Soil temperature at 5 cm below surface can explain most (>91%) of the observed annual variation in soil respiration. The apparent respiration temperature sensitivity index (Q 10 ) was 3.05. The lowest Q 10 value was observed in winter, when soil moisture was low. Soil respiration was overestimated by a Q 10 function during both dry and wet periods. The relative contributions of soil organic matter (R SOM ), litterfall decomposition (R L ), and root respiration (R R ) to total soil respiration are 65.25%, 18.73%, and 16.01%, respectively; the temperature sensitivity of these components differ: R L (Q 10 = 7.22) > R SOM (2.73) > R R (1.65). This relationship between Q 10 values for litter respiration, soil organic matter decomposition, and root respiration still holds after minimizing the confounding effect of moisture. A relatively constant substrate supply and/or thermal acclimation could account for the observed low-temperature sensitivity in root respiration. Given the high carbon stocks and fluxes, the old-growth subtropical forests of China seem important in the global carbon budget and climate change.

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Using digital cameras for comparative phenological monitoring in an evergreen broad-leaved forest and a seasonal rain forest

Cited by 43 publications

References 37 publications

Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams

Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams

Capturing change: the duality of time-lapse imagery to acquire data and depict ecological dynamics

Soil respiration in an old‐growth subtropical forest: Patterns, components, and controls

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