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Operational mapping system for high-resolution tropical forest carbon emissions

Date:
December 2, 2019
Source:
Arizona State University, Center for Global Discovery and Conservation Science
Summary:
For the first time, scientists have developed a method to monitor carbon emissions from tropical forests at an unprecedented level of detail. The approach will provide the basis for developing a rapid and cost-effective operational carbon monitoring system, making it possible to quantify the economic cost of deforestation as forests are converted from carbon sinks to sources.
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For the first time, scientists have developed a method to monitor carbon emissions from tropical forests at an unprecedented level of detail. The approach will provide the basis for developing a rapid and cost-effective operational carbon monitoring system, making it possible to quantify the economic cost of deforestation as forests are converted from carbon sinks to sources. The study was published in Scientific Reports on November 28th, 2019.

Researchers at the Arizona State University Center for Global Discovery and Conservation Science (GDCS) worked with satellite imagery from Planet Inc., an earth-imaging company based in San Francisco, to develop maps of carbon stocks and emissions for Peru by combining millions of hectares of airborne laser measurements of canopy height with thousands of high resolution Planet Dove satellite images.

"We combined advanced remote sensing data and machine learning algorithms to estimate aboveground carbon stocks and emissions throughout the highly diverse ecosystems of Peru. Our approach will serve as a transformative tool to quantify and monitor climate change mitigation services provided by tropical forests," said Ovidiu Csillik, lead author of the study.

Using this technology, the researchers were able to estimate a total of 6.9 billion metric tons of carbon stored aboveground in Peru's diverse ecosystems, of which only 2.9 billion tons are found in protected areas. However, they also found that between 2012 and 2017, 80 million metric tons of new carbon were sequestered above ground in forests, but another 96 million tons were emitted via logging, deforestation and other factors. This resulted in a net loss of forest carbon in the five-year study period.

The new high-resolution monitoring approach revealed the precise location of these carbon emissions, for example, in areas converted from forest to oil palm and cacao plantations, agricultural and urban areas, and gold mining.

"Our study powerfully demonstrates a new capability to not only measure forest carbon stocks from space, but far more critically, to monitor changes in carbon emissions generated by a huge range of activities in forests," said Greg Asner, director of GDCS and co-author of the study. "The days of mapping forests based simply on standing carbon stocks are behind us now. We are focused on carbon emissions, and that's precisely what is needed to mitigate biodiversity loss and climate change."


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Materials provided by Arizona State University, Center for Global Discovery and Conservation Science. Note: Content may be edited for style and length.


Journal Reference:

  1. Ovidiu Csillik, Pramukta Kumar, Joseph Mascaro, Tara O’Shea, Gregory P. Asner. Monitoring tropical forest carbon stocks and emissions using Planet satellite data. Scientific Reports, 2019; 9 (1) DOI: 10.1038/s41598-019-54386-6

Cite This Page:

Arizona State University, Center for Global Discovery and Conservation Science. "Operational mapping system for high-resolution tropical forest carbon emissions." ScienceDaily. ScienceDaily, 2 December 2019. <www.sciencedaily.com/releases/2019/12/191202102057.htm>.
Arizona State University, Center for Global Discovery and Conservation Science. (2019, December 2). Operational mapping system for high-resolution tropical forest carbon emissions. ScienceDaily. Retrieved October 31, 2024 from www.sciencedaily.com/releases/2019/12/191202102057.htm
Arizona State University, Center for Global Discovery and Conservation Science. "Operational mapping system for high-resolution tropical forest carbon emissions." ScienceDaily. www.sciencedaily.com/releases/2019/12/191202102057.htm (accessed October 31, 2024).

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