Publications
Filter Total Items: 114
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
Authors
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
Colorado and Landsat
Colorado’s geography seems designed to impress. Although the Rocky Mountains takes up only one-half of the State, more than 50 of its peaks rise at least 14,000 feet above sea level—far more “fourteeners” than any other State. Many of these mountains receive hundreds of inches of snow annually. The Rocky Mountains provide the Continental Divide, or watershed boundary, for North America. Three of t
Authors
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
Authors
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
Authors
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
Authors
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
Authors
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
ECCOE Landsat quarterly Calibration and Validation report — Quarter 2, 2021
Executive SummaryThe U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsa
Authors
Esad Micijevic, Rajagopalan Rengarajan, Md Obaidul Haque, Mark Lubke, Fatima Tuz Zafrin Tuli, Jerad L. Shaw, Nahid Hasan, Alex Denevan, Shannon Franks, Michael J. Choate, Cody Anderson, Brian Markham, Kurtis Thome, Ed Kaita, Julia Barsi, Raviv Levy, Lawrence Ong
Landsat Collection 2 Level-2 Science Products
The U.S. Geological Survey produces research quality, applications ready, Level-2 Science Products derived from Landsat Collection 2 Level-1 data. These products are used to monitor, assess, and project changes in land use, land cover, and environmental conditions affecting the human condition, natural processes, and biological habitats. Landsat Collection 2 Level-2 Science Products are time-serie
Authors
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
Authors
Paul Xavier Flanagan, Rezaul Mahmood, Terry L. Sohl, Mark Svoboda, Brian D. Wardlow, Michael Hayes, Eric Rappin
Grand challenges of hydrologic modeling for food-energy-water nexus security in high mountain Asia
Climate-influenced changes in hydrology affect water-food-energy security that may impact up to two billion people downstream of the High Mountain Asia (HMA) region. Changes in water supply affect energy, industry, transportation, and ecosystems (agriculture, fisheries) and as a result, also affect the region's social, environmental, and economic fabrics. Sustaining the highly interconnected food-
Authors
Shruti K. Mishra, Summer Rupper, Sarah B. Kapnick, Kimberly Ann Casey, Hoi Ga Chan, Enrico Ciraci, Umesh Haritashya, John Hayse, Jeffrey S. Kargel, Rijan Kayatha, Nir Y. Krakauer, Sujay Kumar, Richard B. Lammers, Vivian Maggioni, Steven A. Margulis, Mathew Olson, Batuhan Osmanoglu, Yun Qian, Sasha McLarty, Karl Rittger, David R. Rounce, David Shean, Isabella Velicogna, Thomas D. Veselka, Anthony Arendt
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