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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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LCMAP Releases Hawaii Collection 1

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LCMAP Adds Data for 2020 with Release of Collection 1.2

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A Legacy Continues with Landsat 9 Launch

Publications

Incorporating interpreter variability into estimation of the total variance of land cover area estimates under simple random sampling

Area estimates of land cover and land cover change are often based on reference class labels determined by analysts interpreting satellite imagery and aerial photography. Different interpreters may assign different reference class labels to the same sample unit. This interpreter variability is typically not accounted for in variance estimators applied to area estimates of land cover. A simple meas

A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping

The long record of Landsat imagery, which is the cornerstone of Earth observation, provides an opportunity to monitor land use and land cover (LULC) change and understand the interactions between the climate and earth system through time. A few change detection algorithms such as Continuous Change Detection and Classification (CCDC) have been developed to utilize all available Landsat images for c

Validation of the U.S. Geological Survey’s Land Change Monitoring, Assessment and Projection (LCMAP) collection 1.0 annual land cover products 1985–2017

The U.S. Geological Survey Land Change Monitoring, Assessment and Projection (USGS LCMAP) has released a suite of annual land cover and land cover change products for the conterminous United States (CONUS). The accuracy of these products was assessed using an independently collected land cover reference sample dataset produced by analysts interpreting Landsat data, high-resolution aerial photograp

Science

Tutorials

The Land Change Monitoring, Assessment, and Projection (LCMAP) team is developing a series of tutorials showing users how to interact with LCMAP data in automated, Python-based Jupyter Notebook workflows.
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Tutorials

The Land Change Monitoring, Assessment, and Projection (LCMAP) team is developing a series of tutorials showing users how to interact with LCMAP data in automated, Python-based Jupyter Notebook workflows.
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LCMAP Change Stories

Click "Science" above to see how we track change over time.
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LCMAP Change Stories

Click "Science" above to see how we track change over time.
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LCMAP Change Stories: Where the Forests Fall, the Grasses Grow

The forests and rangelands of the Western U.S. face fire dangers on multiple fronts. The trees themselves provide fuel for wildfires, of course, but there are additional factors at play in this mountainous, forested stretch of land at the Idaho-Montana border.
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LCMAP Change Stories: Where the Forests Fall, the Grasses Grow

The forests and rangelands of the Western U.S. face fire dangers on multiple fronts. The trees themselves provide fuel for wildfires, of course, but there are additional factors at play in this mountainous, forested stretch of land at the Idaho-Montana border.
Learn More