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Publications

Filter Total Items: 480

Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat 30-m data, machine learning algorithms and Google Earth Engine

Accurate and timely information on croplands is important for environmental, food security, and policy studies. Spatially explicit cropland datasets are also required to derive information on crop type, crop yield, cropping intensity, as well as irrigated areas. Large area defined as continental to global cropland mapping is challenging due to differential manifestation of croplands, wide range
Authors
Aparna Phalke, Mutlu Ozdogan, Prasad Thenkabail, Tyler Erickson, Noel Gorelick

Estimating soil organic carbon redistribution in three major river basins of China based on erosion processes

Soil erosion by water affects soil organic carbon (SOC) migration and distribution, which are important processes for defining ecosystem carbon sources and sinks. Little has been done to quantify soil carbon erosion in the three major basins in China, the Yangtze River, Yellow River and Pearl River Basins, which contain the most eroded areas. This research attempts to quantify the lateral movement
Authors
Yan Yang, Qiuan Zhu, Jinxun Liu, Mingxu Li, Minshu Yuan, Huai Chen, Changhui Peng, Zhenan Yang

Substantially greater carbon emissions estimated based on annual land-use transition data

Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey Land Chan
Authors
Jiaojiao Diao, Jinxun Liu, Zhiliang Zhu, Mingshi Li, Benjamin M. Sleeter

Corrigendum to "A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States" [ISPRS J. Photogram. Rem. Sens.139 (2018) 255-271]

The authors regret that two thirds of the San Francisco Bay biomass data included in the Landsat random forest models were not scaled to the proper units of grams per square meter. This error affects the Landsat-only models in the article, which are models #1-4 shown in Table 6. The authors have thoroughly investigated the error and found that the final random forest model, including the selected
Authors
Kristin B. Byrd, Laurel Ballanti, Nathan Thomas, Dung Nguyen, James Holmquist, Marc Simard, Lisamarie Windham-Myers

Progress toward a preliminary karst depression density map for the conterminous United States

Most methods for the assessment of sinkhole hazard susceptibility are predicated upon knowledge of pre-existing closed depressions in karst areas. In the United States (U.S.), inventories of existing karst depressions are piecemeal, and are often obtained through inconsistent methodologies applied at the state or county level and at various scales. Here, we present a first attempt at defining a ka
Authors
Daniel H. Doctor, Jeanne M. Jones, Nathan J. Wood, Jeff T. Falgout, Natalya Igorevna Rapstine

Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through time-series remote sensing

Californias Central Valley, USA is a critical component of the Pacific Flyway despite loss of more than 90% of its wetlands. Moist soil seed (MSS) wetland plants are now produced by mimicking seasonal flooding in managed wetlands to provide an essential food resource for waterfowl. Managers need MSS plant area and productivity estimates to support waterfowl conservation, yet this remains unknown a
Authors
Kristin B. Byrd, Austen Lorenz, James Anderson, Cynthia Wallace, Kara Moore-O'Leary, Jennifer Isola, Ricardo Ortega, Matt Reiter

Mapping perceived social values to support a respondent-defined restoration economy: Case study in southeastern Arizona, USA

Investment in conservation and ecological restoration depends on various socioeconomic factors and the social license for these activities. Our study demonstrates a method for targeting management of ecosystem services based on social values, identified by respondents through a collection of social survey data. We applied the Social Values for Ecosystem Services (SolVES) geographic information sys
Authors
Roy Petrakis, Laura M. Norman, Oliver Lysaght, Benson C. Sherrouse, Darius J. Semmens, Kenneth J. Bagstad, Richard Pritzlaff

Implementation of a surface water extent model in Cambodia using cloud-based remote sensing

Mapping surface water over time provides the spatially explicit information essential for hydroclimatic research focused on droughts and flooding. Hazard risk assessments and water management planning also rely on accurate, long-term measurements describing hydrologic fluctuations. Stream gages are a common measurement tool used to better understand flow and inundation dynamics, but gage networks
Authors
Christopher E. Soulard, Jessica J. Walker, Roy E. Petrakis

Critical land change information enhances the understanding of carbon balance in the United States

Large-scale terrestrial carbon (C) estimating studies using methods such as atmospheric inversion, biogeochemical modeling, and field inventories have produced different results. The goal of this study was to integrate fine-scale processes including land use and land cover change into a large-scale ecosystem framework. We analyzed the terrestrial C budget of the conterminous United States from 197
Authors
Jinxun Liu, Benjamin M. Sleeter, Zhiliang Zhu, Thomas Loveland, Terry L. Sohl, Stephen M. Howard, Carl H. Key, Todd Hawbaker, Shuguang Liu, Bradley C. Reed, Mark A. Cochrane, Linda S. Heath, Hong Jiang, David T. Price, Jing M. Chen, Decheng Zhou, Norman B. Bliss, Tamara S. Wilson, Jason T. Sherba, Qiuan Zhu, Yiqi Luo, Benjiamin Paulter

Evaluating social vulnerability indicators: Criteria and their application to the Social Vulnerability Index

As a concept, social vulnerability describes combinations of social, cultural, economic, political, and institutional processes that shape socioeconomic differentials in the experience of and recovery from hazards. Quantitative measures of social vulnerability are widely used in research and practice. In this paper, we establish criteria for the evaluation of social vulnerability indicators and ap
Authors
Seth Spielman, Joseph Tuccillo, David Folch, Amy Schweikert, Rebecca Davies, Nathan J. Wood, Eric Tate

Rating fire danger from the ground up

Soil moisture information could improve assessments of wildfire probabilities and fuel conditions, resulting in better fire danger ratings.
Authors
Matthew Levi, Erik S. Krueger, Grant J. Snitker, Tyson Ochsner, Miguel L. Villarreal, Emile H. Elias, Dannele E. Peck

Marine fog inputs appear to increase methylmercury bioaccumulation in a coastal terrestrial food web

Coastal marine atmospheric fog has recently been implicated as a potential source of ocean-derived monomethylmercury (MMHg) to coastal terrestrial ecosystems through the process of sea-to-land advection of foggy air masses followed by wet deposition. This study examined whether pumas (Puma concolor) in coastal central California, USA, and their associated food web, have elevated concentrations of
Authors
Peter S. Weiss-Penzias, Michael S. Bank, Deana L. Clifford, Alicia Torregrosa, Belle Zheng, Wendy Lin, Christopher C. Wilmers