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Changes in World’s Forests Portrayed in High Definition

Changes in World’s Forests Portrayed in High Definition

Landsat satellite data used to inventory 21st century forest dynamics around the globe

A new study based on Earth-observing satellite data comprehensively describes changes in the world’s forests from the beginning of this century. Published in Science today, this unparalleled survey of global forests tracked forest loss and gain at the spatial granularity of an area covered by a baseball diamond (30-meter resolution).

Led by Matthew C. Hansen of the University of Maryland and assisted by USGS co-author Thomas R. Loveland, a team of scientists analyzed data from the Landsat 7 satellite to map changes in forests from 2000 to 2012 around the world at local to global scales. The uniform data from more than 650,000 scenes taken by Landsat 7 ensured a consistent global perspective across time, national boundaries, and regional ecosystems.

“Tracking changes in the world’s forests is critical because forests have direct impacts on local and national economies, on climate and local weather, and on wildlife and clean water,” said Anne Castle, Assistant Secretary of the Interior for Water and Science. “This fresh view of recent changes in the world’s forests is thorough, objective, visually compelling, and vitally important.”

Overall, the study found that from 2000 to 2012 global forests experienced a loss of 888,000 square miles (2.3 million square kilometers), roughly the land area of the U.S. states east of the Mississippi River. During the study period, global forests also gained an area of 309,000 square miles (800,000 square kilometers), approximately the combined land area of Texas and Louisiana.

The global survey found that Russia experienced the most forest loss overall (in absolute numbers) over the study period. Brazil was the nation with the second highest level of forest loss, but other countries, including Malaysia, Cambodia, Cote d’Ivoire, Tanzania, Argentina and Paraguay, experienced a greater proportional loss of forest cover. Indonesia exhibited the largest increase in forest loss; its losses on an annual basis during 2011-12 were twice what they were during 2000-03.

Brazil is a global exception in terms of forest change during this timeframe, with a dramatic policy-driven reduction in the rate of deforestation in the Amazon Basin.  Brazil’s use of free Landsat data in documenting trends in deforestation was crucial to its policy formulation and implementation. To date, only Brazil produces and shares spatially explicit information on annual forest extent and change.

In the United States, the most intensive forest change was noted in the southeastern states where pine plantations allow for cyclic tree harvesting for timber, followed by immediate planting of tree replacements. In this area, over 30 percent of the forest cover was either lost or regrown during the study period. 

Deforestation as well as deliberate forest regrowth are human factors that accounted for most of the forest change. Natural forces — for instance, wildfire, windstorms, insect infestations, and regrowth of abandoned agricultural areas — also caused forest changes, which were also methodically mapped.  

“Ever since the USGS made Landsat data free to anyone in 2008, Landsat imagery has served as a reliable common record, a shared vocabulary of trusted data about Earth conditions,” Castle continued. “It’s been said that the free data policy is like giving every person on the globe a free library card to the world’s best library on Earth observations.”

“With the free data policy, we have seen a remarkable revolution in the use of Landsat for documenting the changes in the Earth’s land cover,” said Tom Loveland, chief scientist at the USGS Earth Resources Observation and Science (EROS) Center and a co-author of the study. “This multi-organization project was only feasible with the existence of free Landsat data. The invaluable Landsat archive supplies high-quality, long-term, consistent global data at a scale appropriate for tracking forest gains and losses.”

The research team included scientists from the University of Maryland, the U.S. Geological Survey, Google, the State University of New York, Woods Hole Research Center, and South Dakota State University. The collaborative study is published in the Nov. 15 issue of the journal Science.

Key to the project was collaboration with the Google Earth Engine team, who leveraged sophisticated cloud computing technology to enable University of Maryland researchers to compute the vast amount of data in a matter of days. Additional project funding was provided to the University of Maryland by the Gordon and Betty Moore Foundation.

The 41-year Landsat record of changes on the Earth’s surface is continuously updated in the Landsat archive maintained by the USGS-EROS Center in Sioux Falls, S.D. 

Since 1972, the Landsat program has played a critical role in supplying continuous, objective data that can be used to monitor, understand, and manage the resources needed to sustain human life, such as food, water, and forests. The Landsat 8 satellite launched in February 2013 is designed to extend the four-decade Landsat record of Earth observation. The Landsat program is jointly managed by NASA and USGS.

Learn more 

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November 18 at 10:00 a.m. PT, 1:00 ET

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Parameter Value Description
Magnitude mb The magnitude for the event.
Longitude ° East Decimal degrees longitude. Negative values for western longitudes.
Latitude ° North Decimal degrees latitude. Negative values for southern latitudes.
Depth km Depth of the event in kilometers.
Place Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name.
Time 1970-01-01 00:00:00 Time when the event occurred. UTC/GMT
Updated 1970-01-01 00:00:00 Time when the event was most recently updated. UTC/GMT
Timezone offset Timezone offset from UTC in minutes at the event epicenter.
Felt The total number of felt reports
CDI The maximum reported intensity for the event.
MMI The maximum estimated instrumental intensity for the event.
Alert Level The alert level from the PAGER earthquake impact scale. Green, Yellow, Orange or Red.
Review Status Indicates whether the event has been reviewed by a human.
Tsunami This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist.
SIG A number describing how significant the event is. Larger numbers indicate a more significant event.
Network The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event.
Sources A comma-separated list of network contributors.
Number of Stations Used The total number of Number of seismic stations which reported P- and S-arrival times for this earthquake.
Horizontal Distance Horizontal distance from the epicenter to the nearest station (in degrees).
Root Mean Square sec The root-mean-square (RMS) travel time residual, in sec, using all weights.
Azimuthal Gap The largest azimuthal gap between azimuthally adjacent stations (in degrees).
Magnitude Type The method or algorithm used to calculate the preferred magnitude for the event.
Event Type Type of seismic event.
Event ID Id of event.
Event Code An identifying code assigned by, and unique from, the corresponding source for the event.
Event IDS A comma-separated list of event ids that are associated to an event.

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