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

Z Zhu, AL Gallant, CE Woodcock, B Pengra… - ISPRS Journal of …, 2016 - Elsevier
Abstract The US Geological Survey's Land Change Monitoring, Assessment, and Projection
(LCMAP) initiative is a new end-to-end capability to continuously track and characterize …

Protecting our prairies: Research and policy actions for conserving America's grasslands

TJ Lark - Land Use Policy, 2020 - Elsevier
Grasslands are among the most endangered ecosystems in the world. They supply vital
resources for society, support an abundance of wildlife species, and store rich carbon …

Evaluating the relative importance of precipitation, temperature and land-cover change in the hydrologic response to extreme meteorological drought conditions over …

A Hein, L Condon, R Maxwell - Hydrology and Earth System …, 2019 - hess.copernicus.org
Drought is a natural disaster that may become more common in the future under climate
change. It involves changes to temperature, precipitation and/or land cover, but the relative …

Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the US Geological …

B Pengra, AL Gallant, Z Zhu, D Dahal - Remote Sensing, 2016 - mdpi.com
The US Geological Survey (USGS) has begun the development of operational, 30-m
resolution annual thematic land cover data to meet the needs of a variety of land cover data …

Estimating carbon sequestration in the piedmont ecoregion of the United States from 1971 to 2010

J Liu, BM Sleeter, Z Zhu, LS Heath, Z Tan… - Carbon balance and …, 2016 - Springer
Background Human activities have diverse and profound impacts on ecosystem carbon
cycles. The Piedmont ecoregion in the eastern United States has undergone significant land …

The influence of filtration and decomposition window size on the threshold value and accuracy of land-cover classification of polarimetric SAR images

E Woźniak, W Kofman, P Wajer, S Lewiński… - … Journal of Remote …, 2016 - Taylor & Francis
In this study we use ALOS PALSAR satellite data to classify land cover using a decision tree
algorithm. We apply polarimetric decomposition methods to coherence and covariance …

Multi-temporal polarimetry in land-cover classification

E Woźniak, W Kofman, S Lewinski, P Wajer… - … Journal of Remote …, 2018 - Taylor & Francis
This study uses time-series Sentinel-1 (S-1) synthetic aperture radar images to evaluate the
impact of multi-temporal polarimetric processing on land-cover classification. Various …

Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011

CE Soulard, W Acevedo, WB Cohen, Z Yang… - Environmental …, 2017 - Springer
Several spatial forest disturbance datasets exist for the conterminous USA. The major
problem with forest disturbance mapping is that variability between map products leads to …

[PDF][PDF] Downscaling global land-use/land-cover projections for use in region-level state-and-transition simulation modeling

JT Sherba, BM Sleeter, AW Davis, O Parker… - AIMS Environ …, 2015 - aimspress.com
Global land-use/land-cover (LULC) change projections and historical datasets are typically
available at coarse grid resolutions and are often incompatible with modeling applications at …

[图书][B] Sustainable Water Technologies

DH Chen - 2016 - taylorfrancis.com
Development of advanced technologies is a critical component in overcoming the looming
water crisis. Stressing emerging technologies and strategies that facilitate water …