Results 1 to 10 of about 73 (52)

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

Earth System Science Data, 2022
The increasing availability of high-quality remote sensing data and advanced technologies has spurred land cover mapping to characterize land change from local to global scales.
George Xian, Kelcy Smith, Ryan Reker
exaly   +5 more sources

Development of the LCMAP annual land cover product across Hawaiʻi

International Journal of Applied Earth Observation and Geoinformation, 2022
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 ...
George Xian, Kelcy Smith, Josephine Horton   +2 more
exaly   +4 more sources

Training Data Selection for Annual Land Cover Classification for the Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative [PDF]

Remote Sensing, 2020
The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative involves detecting changes in land cover, use, and condition with the goal of producing land change information to improve the understanding of the ...
Kelcy Smith
exaly   +4 more sources

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

GIScience and Remote Sensing, 2022
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.
George Xian, Zhe Zhu, Josephine Horton   +2 more
exaly   +3 more sources

Tracking cropland transitions: A comparative analysis of U.S. land cover change data [PDF]

PLoS ONE
There are a growing number of land cover data available for the conterminous United States, supporting various applications ranging from biofuel regulatory decisions to habitat conservation assessments.
Tyler Lark, Kemen Austin, Gray Martin
exaly   +3 more sources

Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative [PDF]

ISPRS Journal of Photogrammetry and Remote Sensing, 2016
Abstract The U.S. Geological Survey’s Land Change Monitoring, Assessment, and Projection (LCMAP) initiative is a new end-to-end capability to continuously track and characterize changes in land cover, use, and condition to better support research and applications relevant to resource management and environmental change.
Curtis Woodcock, Zhe Zhu, Devendra Dahal   +2 more
exaly   +2 more sources

Methods of Rapid Quality Assessment for National-Scale Land Surface Change Monitoring

Remote Sensing, 2020
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 ...
George Xian
exaly   +3 more sources

Investigation of the Effect of Microstructure and Grain Boundaries in Nanostructured CMR Thin Films Using Scanning Tunneling Microscopy (STM) and Local Conductance Map (LCMAP) [PDF]

IEEE Nanotechnology Magazine, 2006
We have investigated the spatially resolved local electronic properties of a nanostructured film of a colossal magnetoresistive (CMR) material by local conductance mapping (LCMAP) using a variable temperature scanning tunneling microscope (STM) operating in a magnetic field.
Arup Kumar Raychaudhuri
exaly   +4 more sources

Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

Remote Sensing of Environment, 2020
Abstract Growing demands for temporally specific information on land surface change are fueling a new generation of maps and statistics that can contribute to understanding geographic and temporal patterns of change across large regions, provide input into a wide range of environmental modeling studies, clarify the drivers of change, and provide more
Stephen Stehman, George Xian, Kelcy Smith   +2 more
exaly   +3 more sources

Comparison of Simple Averaging and Latent Class Modeling to Estimate the Area of Land Cover in the Presence of Reference Data Variability

Land, 2021
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.
Stephen Stehman, Giles Foody, Dingfan Xing   +2 more
exaly   +3 more sources