Category: Environment

Google, EDF Partner to Build Map of Global Methane Emissions

Published on by Jonathan Crowe

Methane is a greenhouse gas, more powerful than CO2 but shorter-lived. Google is partnering with the Environmental Defense Fund to map global methane emissions, much of which result from leaks from fossil fuel infrastructure and are undercounted. The EDF’s MethaneSAT satellite (itself a partnership between the EDF and New Zealand’s space agency) launches next month: it’ll measure methane emissions at high resolution. Google’s bringing to the party algorithms and AI, the latter to build a global map of oil and gas infrastructure.

Once we have this complete infrastructure map, we can overlay the MethaneSAT data that shows where methane is coming from. When the two maps are lined up, we can see how emissions correspond to specific infrastructure and obtain a far better understanding of the types of sources that generally contribute most to methane leaks. This information is incredibly valuable to anticipate and mitigate emissions in oil and gas infrastructure that is generally most susceptible to leaks.

More at The Verge.

Previously: Mapping Methane Emissions.

NYC Tree Map

Published on by Jonathan Crowe
Screenshot of the NYC Tree Map
Screenshot

The impressive and/or insane thing about the New York City Tree Map is that it maps individual trees: now about 860,000 of them, all managed by the city’s parks department on city streets and in parks, down to the species and trunk diameter, which also means you can filter for those parameters, plus get most recent inspection and tree care data on specific trees. You can even favourite individual trees. If trees had social media accounts, they’d be here. [Bloomberg CityLab]

Previously: Mapping Central Park’s 19,630 Trees.

Mapping the Height of Earth’s Forests

Published on by Jonathan Crowe
Map of global forest canopy height (NASA Earth Observatory/Joshua Stevens)
NASA Earth Observatory (Joshua Stevens)

NASA Earth Observatory’s map of Earth’s forest canopy height is based on estimates from a deep-learning model applied to Sentinel-2 optical data.

According to a research team led by Nico Lang of the EcoVision Lab at ETH Zürich, only 5 percent of the Earth’s land area in 2020 was covered with trees standing taller than 30 meters.

Lang, together with colleagues Konrad Schindler and Jan Wegner, produced the map by merging lidar data from NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission with optical imagery from the European Space Agency’s Sentinel-2 satellites. GEDI’s lidar profiles give detailed canopy heights, but the profiles cover limited areas; Sentinel-2 optical data has abundant coverage, but it is not designed to measure canopy height. The researchers used the GEDI data to train a deep-learning model capable of estimating canopy heights from Sentinel-2 images anywhere on Earth.

Previously: New Map of Global Forest Heights.

Mapping Methane Emissions

Published on by Jonathan Crowe
World map of methane emissions from fossil fuel exploitation
Methane emissions from oil, gas, and coal exploitation in the Global Fuel Exploitation Inventory (GFEI) version 1 in 2016 (Mg/y/km2)

NASA Earth Observatory:

Funded by NASA’s Carbon Monitoring System, scientists recently built a new series of maps detailing the geography of methane emissions from fossil fuel production. Using publicly available data reported in 2016, the research team plotted fuel exploitation emissions—or “fugitive emissions” as the UNFCCC calls them—that arise before the fuels are ever consumed. The maps delineate where these emissions occur based on the locations of coal mines, oil and gas wells, pipelines, refineries, and fuel storage and transportation infrastructure. The maps were recently published at NASA’s Goddard Earth Sciences Data and Information Services Center (GES DISC). (Note that 2016 was the most recent year with complete UN emissions data available at the time of this study.)

The Map Lady and the Catholic Church

Published on by Jonathan Crowe

Earlier this year, the New Yorker published a profile of Molly Burhans. Burhans is the founder of GoodLands, a Catholic organization focusing on mobilizing the land and resources of the Church to address climate change and other environmental issues. Burhans, whose background is in GIS, began by wanting to analyse the Church’s property holdings; she soon found out that the Church’s own record-keeping was somewhere between out of date and nonexistent—and certainly not digital.

In the Office of the Secretariat of State that day, Burhans met with two priests. She showed them the prototype map that she had been working on, and explained what she was looking for. “I asked them where their maps were kept,” she said. The priests pointed to the frescoes on the walls. “Then I asked if I could speak to someone in their cartography department.” The priests said they didn’t have one.

Burhans, who became known as the Map Lady at the Vatican, was asked if she’d be willing to create a cartography institute at the Vatican; plans to develop one have been waylaid by the COVID-19 pandemic (Burhans came down with a significant case herself.) Fascinating piece depicting the gap between modern data and an ancient institution, and the notion of using data as a force for progress. Thanks to John Greenhough for sending me a copy of this article; apologies for taking months to post about it.

Another profile of Burhans.

Mapping Marine Microplastics

Published on by Jonathan Crowe
Maps of microplastics concentrations
NASA Earth Observatory (Joshua Stevens)

NASA Earth Observatory: “Researchers at the University of Michigan (UM) recently developed a new method to map the concentration of ocean microplastics around the world. The researchers used data from eight microsatellites that are part of the Cyclone Global Navigation Satellite System (CYGNSS) mission. Radio signals from GPS satellites reflect off the ocean surface, and CYGNSS satellites detect those reflections. Scientists then analyze the signals to measure the roughness of the ocean surface. These measurements provide scientists with a means to derive ocean wind speeds, which is useful for studying phenomena like hurricanes. It turns out that the signals also reveal the presence of plastic.”

Mapping Irrecoverable Carbon

Published on by Jonathan Crowe
From Noon, Goldstein, Ledezma et al., “Mapping the irrecoverable carbon in Earth’s ecosystems,” Nat Sustain (2021). Creative Commons licence.

A new study published in Nature Sustainability maps the Earth’s reserves of what is called “irrecoverable carbon”—that is to say, those stores of carbon in nature that, if released into the atmosphere, would not be able to be restored in the timeframe required to deal with climate change. These stores include wetlands and old-growth forests, which take longer to replenish.

Irrecoverable carbon represents 20% of the total manageable ecosystem carbon. Globally, 79.0 Gt (57%) of irrecoverable carbon is found in biomass while 60.0 Gt (43%) is in soils. […] The largest and highest-density irrecoverable carbon reserves are in the tropical forests and peatlands of the Amazon (31.5 Gt), the Congo Basin (8.2 Gt) and Insular Southeast Asia (13.1 Gt); the temperate rainforest of northwestern North America (5.0 Gt); the boreal peatlands and associated forests of eastern Canada and western Siberia (12.4 Gt); and mangroves and tidal wetlands globally (4.8 Gt).

The study argues that such reserves should be considered unexploitable; about 48 percent of it is already within protected or indigenous lands. About half the irrecoverable carbon sits on 3.3 percent of the world’s land area. [ScienceNews, GIS Lounge]

Online Map Tracks Nitrogen Dioxide Concentrations

Published on by Jonathan Crowe

Screenshot

A new online map tracks tropospheric global nitrogen dioxide concentrations—which we’ve seen drop sharply this year as the pandemic shut down economic activity. “This online platform uses data from the Copernicus Sentinel-5P satellite and shows the averaged nitrogen dioxide concentrations across the globe—using a 14-day moving average. Concentrations of short-lived pollutants, such as nitrogen dioxide, are indicators of changes in economic slowdowns and are comparable to changes in emissions. Using a 14 day average eliminates some effects which are caused by short term weather changes and cloud cover. The average gives an overview over the whole time period and therefore reflects trends better than shorter time periods.” [ESA]

Previously: Mapping the Lockdown-Related Drop in Emissions; Emissions Drop Due to Coronavirus Outbreak.

Mapping the Lockdown-Related Drop in Emissions

Published on by Jonathan Crowe
ESA

The European Space Agency maps the drop in nitrogen dioxide concentrations in the atmosphere in the wake of coronavirus lockdowns in many countries (see above). [GIS Lounge]

Meanwhile, CESBIO researcher Simon Gascoin built a map that compares NO2 concentrations over the last 30 days with the same period in 2019.

Data for these analyses generally come from the Copernicus Programme’s Sentinel-5P satellite. The Copernicus Atmosphere Monitoring Service issued a warning last week about using the data improperly.

Concentrations of NO2 in the atmosphere are highly variable in space and time: they typically vary by one order of magnitude within each day and quite substantially from one day to another because of the variations in emissions (for example the impacts of commuter traffic, weekdays and weekend days) as well as changes in the weather conditions. This is why, even if observations are available on a daily (currently available from satellites) or even hourly (ground-based observations) basis, it is necessary to acquire data for a substantial period of time in order to check that a statistically robust departure from normal conditions has emerged.

Cloud cover is a factor that needs to be taken into account as well.

Previously: Emissions Drop Due to Coronavirus Outbreak.

Emissions Drop Due to Coronavirus Outbreak

Published on by Jonathan Crowe
Map of mean tropospheric NO2 density over China, January-February 2020
NASA Earth Observatory/Joshua Stevens

As you may have seen elsewhere, the coronavirus pandemic is having an impact on air pollution, as countries shut down human and economic activity in an attempt to deal with the outbreak. Take nitrogen dioxide. Tropospheric NO2 density decreased significantly over China between January and February, and the same seems to be happening in northern Italy, which normally has some of the most severe air pollution in Europe. See the ESA’s animation:

More broadly, try this online map, which compares NO2 emissions before and after 20 February 2020 anywhere on the planet. [Maps Mania]

Previously: Mapping Nitrogen Dioxide Pollution.

Interactive Pollution Tracking Map Shut Down

Published on by Jonathan Crowe

The U.S. National Library of Medicine’s TOXNET, an interactive map that tracked pollution, chemical exposure, toxicology and other data, was shut down last month. The move has been criticized in the context of the Trump administration’s rollback of environmental protections, but the NLM insists that the decision was theirs. The data mapped by TOXNET is available from other sources, but, and this is the point, not as easily or centrally accessible. [The Hill, Newsweek]

Mapping Global Fresh Water Availability

Published on by Jonathan Crowe

NASA Earth Observatory: “The map above depicts changes in water storage on Earth—on the surface, underground, and locked in ice and snow—between 2002 and 2016. Shades of green represent areas where freshwater levels have increased, while browns depict areas where they have been depleted. Data were collected by the GRACE mission, which precisely measured the distance between twin spacecraft as they responded to changes in Earth’s gravity field. In sensing the subtle movements of mass around the planet, the satellites could decipher monthly variations in terrestrial water storage.” The GRACE observations form the basis of a study published this month in Nature on changes in global fresh water availability. More at the JPL’s GRACE-FO project page. [Benjamin Hennig]

Century-Old Maps Reveal Long-Term Abundance of Kelp Beds

Published on by Jonathan Crowe

Comparing century-old maps of kelp beds in the Pacific Northwest to modern aerial surveys, a University of Chicago professor was able to track the long-term abundance and health of the beds, which in most cases remained remarkably constant: Journal of Ecology article. The kelp bed maps, made from surveys in 1911 and 1912, were the result of U.S. concern about the nation’s potash supply, which in the runup to World War I was largely imported from Germany. The kelp beds were, for some reason, seen as an alternative fertilizer source. That plan never came to fruition, but the maps remained, to be put to use for an entirely different purpose more than a century after they were made. [WMS]

20 Years of Observing Our Living Planet

Published on by Jonathan Crowe
NASA

NASA: “Satellites measured land and ocean life from space as early as the 1970s. But it wasn’t until the launch of the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) in 1997 that the space agency began what is now a continuous, global view of both land and ocean life. A new animation captures the entirety of this 20-year record, made possible by multiple satellites, compressing a decades-long view of life on Earth into a captivating few minutes.” Here’s a video about it:

Animations available for download here. Guardian coverage. [Benjamin Hennig]

Google Using Street View Cars to Map Air Pollution

Published on by Jonathan Crowe
Google

Google is using its Street View cars, now equipped with air-quality sensors, to measure air pollution in California on a block-by-block level.

Earlier this year, we shared the first results of this effort with pollution levels throughout the city of Oakland.

We’re just beginning to understand what’s possible with this hyper-local information and today, we’re starting to share some of our findings for the three California regions we’ve mapped: the San Francisco Bay Area, Los Angeles, and California’s Central Valley (the Street View cars drove 100,000 miles, over the course of 4,000 hours to collect this data!) Scientists and air quality specialists can use this information to assist local organizations, governments, and regulators in identifying opportunities to achieve greater air quality improvements and solutions.