Publications
Find publications related to USGS Land Change Monitoring, Assessment, and Projection (LCMAP) here.
LCMAP Lessons Learned
LCMAP Lessons Learned
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach.
Optimizing LCMAP
Optimizing LCMAP
"Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative"
Quality Control
Quality Control
"Quality control and assessment of interpreter consistency of annual land cover reference data in an operational national monitoring program"
Filter Total Items: 33
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
Authors
Congcong Li, George Z. Xian, Qiang Zhou, Bruce Pengra
Modeling watershed carbon dynamics as affected by land cover change and soil erosion
Process-based ecosystem carbon cycle models typically incorporate vegetation growth, vegetation mortality, and soil respiration as well as the biotic and environmental drivers that influence these variables. However, few spatially explicit process models can efficiently incorporate the influence of land cover change and carbon lateral movement at regional scales or high spatial resolution. This st
Authors
Jinxun Liu, Benjamin M. Sleeter, Paul Selmants, Jiaojiao Diao, Qiang Zhou, Bruce Worstell, Monica Mei Jeen Moritsch
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
Authors
Stephen V. Stehman, Bruce Pengra, Josephine Horton, Danika F. Wellington
Urban heat island and its regional impacts using remotely sensed thermal data – A review of recent developments and methodology
Many novel research algorithms have been developed to analyze urban heat island (UHI) and UHI regional impacts (UHIRIP) with remotely sensed thermal data tables. We present a comprehensive review of some important aspects of UHI and UHIRIP studies that use remotely sensed thermal data, including concepts, datasets, methodologies, and applications. We focus on reviewing progress on multi-sensor ima
Authors
Hua Shi, George Z. Xian, Roger F. Auch, Kevin Gallo, Qiang Zhou
Hotter drought escalates tree cover declines in blue oak woodlands of California
California has, in recent years, become a hotspot of interannual climatic variability, recording devastating climate-related disturbances with severe effects on tree resources. Understanding the patterns of tree cover change associated with these events is vital for developing strategies to sustain critical habitats of endemic and threatened vegetation communities. We assessed patterns of tree cov
Authors
Francis K Dwomoh, Jesslyn F. Brown, Heather J. Tollerud, Roger F. Auch
The effects of urban land cover dynamics on urban heat Island intensity and temporal trends
Assessments of surface urban heat island (UHI) have focused on using remote sensing and land cover data to quantify UHI intensity and spatial distribution within a certain time period by including land cover information. In this study, we implemented a prototype approach to characterize the spatiotemporal variations of UHI using time series of Landsat land surface temperature products and annual l
Authors
George Z. Xian, Hua Shi, Roger F. Auch, Kevin Gallo, Qiang Zhou, Zhuoting Wu, Michael Kolian
Comparison of simple averaging and latent class modeling to estimate the area of land cover in the presence of reference data variability
Estimates of the area or percent area of the land cover classes within a study region are often based on the reference land cover class labels assigned by analysts interpreting satellite imagery and other ancillary spatial data. Different analysts interpreting the same spatial unit will not always agree on the land cover class label that should be assigned. Two approaches for accommodating interpr
Authors
Dingfan Xing, Stephen V. Stehman, Giles M Foody, Bruce Pengra
Methods for rapid quality assessment for national-scale land surface change monitoring
Providing rapid access to land surface change data and information is a goal of the U.S. Geological Survey. Through the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative, we have initiated a monitoring capability that involves generating a suite of ten annual land cover and land surface change datasets across the United States at a 30-m spatial resolution. During the LCMAP aut
Authors
Qiang Zhou, Christopher Barber, George Z. Xian
Investigating the effects of land use and land cover on the relationship between moisture and reflectance using Landsat Time Series
To better understand the Earth system, it is important to investigate the interactions between precipitation, land use/land cover (LULC), and the land surface, especially vegetation. An improved understanding of these land-atmosphere interactions can aid understanding of the climate system and modeling of time series satellite data. Here, we investigate the effect of precipitation and LULC on the
Authors
Heather J. Tollerud, Jesslyn F. Brown, Thomas Loveland
Land change monitoring, assessment, and projection
There is a pressing need to monitor and understand the rapid land change happening around the world. The U.S. Geological Survey is developing a new capability, called Land Change Monitoring, Assessment, and Projection (LCMAP), to innovate the understanding of land change. This capability is the Earth Resources Observation and Science Center's foundation for an integrated U.S. Geological Survey-wid
Authors
Jennifer Rover, Jesslyn F. Brown, Roger F. Auch, Kristi Sayler, Terry L. Sohl, Heather J. Tollerud, George Z. Xian
Gap fill of Land surface temperature and reflectance products in Analysis Ready Data
The recently released Landsat Analysis Ready Data (ARD) over the United States provides the opportunity to investigate landscape dynamics using dense time series observations at 30-m resolution. However, the dataset often contains data gaps (or missing data) because of cloud contamination or data acquisition strategy. We present a new algorithm that focuses on data gap filling using clear observat
Authors
Qiang Zhou, George Z. Xian, Hua Shi
Training data selection for annual land cover classification for the LCMAP initiative
The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative characterizes changes in land cover, use, and condition with the goal of producing land change information that improves understanding of the earth system and provides insight into the impacts of land change on society. For LCMAP, all available high-quality data from the Landsat archive is used in a
Authors
Qiang Zhou, Heather J. Tollerud, Christopher Barber, Kelcy Smith, Daniel J. Zelenak