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Find publications related to USGS Land Change Monitoring, Assessment, and Projection (LCMAP) here.

Filter Total Items: 33

Assessment of public and private land cover change in the United States from 1985–2018

An assessment of annual land cover on publicly and privately managed lands across the conterminous United States (CONUS) from 1985–2018 was performed, including land cover conversions within their management category, to inform future policy and land-use decision-making in natural resource management. Synthesizing land cover data with land management delineations aids our ability to address effect
Nathan C. Healey, Janis L. Taylor, Roger F. Auch

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
Heather J. Tollerud, Zhe Zhu, Kelcy Smith, Danika F. Wellington, Reza Hussain, Donna Viola

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
Francis K Dwomoh, Roger F. Auch, Jesslyn F. Brown, Heather J. Tollerud

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
Congcong Li, George Z. Xian, Danika F. Wellington, Kelcy Smith, Josephine Horton, Qiang Zhou

Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–2017

Forest covers about one-third of the land area of the conterminous United States (CONUS) and plays an important role in offsetting carbon emissions and supporting local economies. Growing interest in forests as relatively cost-effective nature-based climate solutions, particularly restoration and reforestation activities, has increased the demand for information on forest regrowth and recovery fol
Qiang Zhou, George Z. Xian, Josephine Horton, Danika F. Wellington, Grant Domke, Roger F. Auch, Congcong Li, Zhe Zhu

Analyzing the effects of land cover change on the water balance for case study watersheds in different forested ecosystems in the USA

We analyzed impacts of interannual disturbance on the water balance of watersheds in different forested ecosystem case studies across the United States from 1985 to 2016 using a remotely sensed long-term land cover monitoring record (U.S. Geological Survey Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Science products), gridded precipitation and evaporation data, and st
Nathan C. Healey, Jennifer Rover

Conterminous United States land-cover change (1985-2016): New insights from annual time series

Sample-based estimates augmented by complete coverage land-cover maps were used to estimate area and describe patterns of annual land-cover change across the conterminous United States (CONUS) between 1985 and 2016. Most of the CONUS land cover remained stable in terms of net class change over this time, but a substantial gross change dynamic was captured by the annual and cumulative time interval
Roger F. Auch, Danika Fay Wellington, Janis L. Taylor, Stephen V. Stehman, Heather J. Tollerud, Jesslyn F. Brown, Thomas Loveland, Bruce Pengra, Josephine Horton, Zhe Zhu, Alemayehu Midekisa, Kristi Sayler, George Z. Xian, Christopher Barnes, Ryan R. Reker

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
Stephen V. Stehman, John Mousoupetros, Ronald E. McRoberts, Erik Naesset, Bruce Pengra, Dingfan Xing, Josephine Horton

Monitoring and characterizing multi-decadal variations of urban thermal condition using time-series thermal remote sensing and dynamic land cover data

Urban development and associated land cover and land use change alter the thermal, hydrological, and physical properties of the land surface. Assessments of surface urban heat island (UHI) usually focused on using remote sensing and land cover data to quantify UHI intensity and spatial distribution within a certain period. However, the mechanisms and complex interactions in landscape dynamics and
George Z. Xian, Hua Shi, Qiang Zhou, Roger F. Auch, Kevin Gallo, Zhuoting Wu, Michael Kolian

A novel regression method for harmonic analysis of time series

Harmonic analysis of time series is an important technique in remote sensing to reveal seasonal land surface dynamics. However, frequency selection in the harmonic analysis is often difficult because high-frequency components are useful for delineating seasonal dynamics but sensitive to noise and gaps in time series. On the other hand, it is challenging to obtain temporally continuous satellite da
Qiang Zhou, Zhe Zhu, George Z. Xian, Congcong Li

Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product

The increasing availability of high-quality remote sensing data and advanced technologies have spurred land cover mapping to characterize land change from local to global scales. However, most land change datasets either span multiple decades at a local scale or cover limited time over a larger geographic extent. Here, we present a new land cover and land surface change dataset created by the Land
George Z. Xian, Kelcy Smith, Danika F. Wellington, Josephine Horton, Qiang Zhou, Congcong Li, Roger F. Auch, Jesslyn F. Brown, Zhe Zhu, Ryan R. Reker

Simulated atmospheric response to four projected land-use land-cover change scenarios for 2050 in the north-central United States

Land-use land-cover change (LULCC) has become an important topic of research for the central United States because of the extensive conversion of the natural prairie into agricultural land, especially in the northern Great Plains. As a result, shifts in the natural climate (minimum/maximum temperature, precipitation, etc.) across the north-central United States have been observed, as noted within
Paul Xavier Flanagan, Rezaul Mahmood, Terry L. Sohl, Mark Svoboda, Brian D. Wardlow, Michael Hayes, Eric Rappin