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Land Change Monitoring, Assessment, and Projection

Land Change Monitoring, Assessment, and Projection (LCMAP) represents a new generation of land cover mapping and change monitoring from the U.S. Geological Survey’s Earth Resources Observation and Science (EROS) Center. LCMAP answers a need for higher quality results at greater frequency with additional land cover and change variables than previous efforts.

News

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Tools Help Scientists Wrangle LCMAP Data and More

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2022 Year in Review for USGS EROS

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LCMAP Adds Data for 2021 with Release of Collection 1.3

Publications

Trends in tree cover change over three decades related to interannual climate variability and wildfire in California

The U.S. State of California has experienced frequent drought events, hotter temperatures and other disruptions to the climate system whose effects on ecosystems have been widely reported in recent decades. Studies primarily confined to specific vegetation communities or species, individual drought incidents, or analysis over a relatively short intervals, has limited our understanding of the broad

Toward consistent change detection across irregular remote sensing time series observations

The use of remote sensing in time series analysis enables wall-to-wall monitoring of the land surface and is critical for assessing and understanding land cover and land use change and for understanding the Earth system as a whole. However, variability in remote sensing observation frequency through time and across space presents challenges for producing consistent change detection results through

Development of the LCMAP annual land cover product across Hawai'i

Following the completion of land cover and change (LCC) products for the conterminous United States (CONUS), the U.S. Geological Survey's (USGS’s) Land Change Monitoring, Assessment, and Projection initiative has broadened the capability of characterizing continuous historical land change across the full Landsat records for Hawaiʻi at 30-meter resolution. One of the challenges of implementing the

Science

Eyes on Earth Episode 84 – Hurricane Disturbance Mapping

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn about the effort to map disturbances in Florida from Hurricane Ian in near real time.
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Eyes on Earth Episode 84 – Hurricane Disturbance Mapping

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn about the effort to map disturbances in Florida from Hurricane Ian in near real time.
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LCMAP Change Stories: Sequoias under Siege, Progression of a Wildfire

Sequoia National Park encompasses over 400,000 acres across the Sierra Nevada mountains. The park’s giant old growth sequoias are the largest trees in the world, growing 30 feet (9.1 m) in diameter and 250 feet (76.2 m) tall over their 3,000-year lifespans.
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LCMAP Change Stories: Sequoias under Siege, Progression of a Wildfire

Sequoia National Park encompasses over 400,000 acres across the Sierra Nevada mountains. The park’s giant old growth sequoias are the largest trees in the world, growing 30 feet (9.1 m) in diameter and 250 feet (76.2 m) tall over their 3,000-year lifespans.
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Eyes on Earth Episode 71 – Blue Oak Forests of California

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how Landsat-based data products have been used to study forest change in California.
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Eyes on Earth Episode 71 – Blue Oak Forests of California

Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn how Landsat-based data products have been used to study forest change in California.
Learn More