Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product [PDF]
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 +2 more
exaly +5 more sources
Development of the LCMAP annual land cover product across Hawaiʻi
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 ...
Kelcy Smith
exaly +4 more sources
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.
Qiang, George Xian, Josephine A Horton
exaly +3 more sources
Training Data Selection for Annual Land Cover Classification for the Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative [PDF]
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
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]
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.
Sohini Kar-Narayan
exaly +6 more sources
Tracking cropland transitions: A comparative analysis of U.S. land cover change data [PDF]
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.
Gray Martin, Tyler J Lark
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 [PDF]
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.
Dingfan Xing, Giles Foody
exaly +5 more sources
Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative [PDF]
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.
Zhe Zhu +2 more
exaly +2 more sources
Annual 30-m maps of global grassland class and extent (2000-2022) based on spatiotemporal Machine Learning. [PDF]
The paper describes the production and evaluation of global grassland extent mapped annually for 2000–2022 at 30 m spatial resolution. The dataset showing the spatiotemporal distribution of cultivated and natural/semi-natural grassland classes was ...
Parente L +19 more
europepmc +6 more sources
Addressing the need for improved land cover map products for policy support. [PDF]
The continued increase of anthropogenic pressure on the Earth’s ecosystems is degrading the natural environment and then decreasing the services it provides to humans.
Szantoi Z +9 more
europepmc +5 more sources

