Using phenocams to monitor our changing Earth: toward a global phenocam network
Autor: | Heidi Steltzer, Shin Nagai, Kevin R. Hultine, Oliver Sonnentag, Michael D. SanClements, Sandra Henderson, David Tazik, David J. P. Moore, Ellen G. Denny, Joel Granados, Arturo Sanchez-Azofeifa, Andrew D. Richardson, Michael W. Denslow, Timothy Brown |
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Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences Ecology Environmental change business.industry Environmental resource management Biosphere Vegetation USable 010603 evolutionary biology 01 natural sciences Visualization Disturbance (ecology) Environmental science media_common.cataloged_instance European union business Ecology Evolution Behavior and Systematics Snow cover 0105 earth and related environmental sciences media_common |
Zdroj: | Frontiers in Ecology and the Environment. 14:84-93 |
ISSN: | 1540-9309 1540-9295 |
DOI: | 10.1002/fee.1222 |
Popis: | Rapid changes to the biosphere are altering ecological processes worldwide. Developing informed policies for mitigating the impacts of environmental change requires an exponential increase in the quantity, diversity, and resolution of field-collected data, which, in turn, necessitates greater reliance on innovative technologies to monitor ecological processes across local to global scales. Automated digital time-lapse cameras – “phenocams” – can monitor vegetation status and environmental changes over long periods of time. Phenocams are ideal for documenting changes in phenology, snow cover, fire frequency, and other disturbance events. However, effective monitoring of global environmental change with phenocams requires adoption of data standards. New continental-scale ecological research networks, such as the US National Ecological Observatory Network (NEON) and the European Union's Integrated Carbon Observation System (ICOS), can serve as templates for developing rigorous data standards and extending the utility of phenocam data through standardized ground-truthing. Open-source tools for analysis, visualization, and collaboration will make phenocam data more widely usable. |
Databáze: | OpenAIRE |
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