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Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data Mapping rice-fallow cropland areas for short-season grain legumes intensification in South Asia using MODIS 250 m time-series data

The goal of this study was to map rainfed and irrigated rice-fallow cropland areas across South Asia, using MODIS 250 m time-series data and identify where the farming system may be intensified by the inclusion of a short-season crop during the fallow period. Rice-fallow cropland areas are those areas where rice is grown during the kharif growing season (June–October), followed by a...
Authors
Murali Krishna Gumma, Prasad S. Thenkabail, Pardhasaradhi G. Teluguntla, Mahesh N. Rao, Irshad A. Mohammed, Anthony M. Whitbread

Estimating forest and woodland aboveground biomass using active and passive remote sensing Estimating forest and woodland aboveground biomass using active and passive remote sensing

Aboveground biomass was estimated from active and passive remote sensing sources, including airborne lidar and Landsat-8 satellites, in an eastern Arizona (USA) study area comprised of forest and woodland ecosystems. Compared to field measurements, airborne lidar enabled direct estimation of individual tree height with a slope of 0.98 (R2 = 0.98). At the plot-level, lidar-derived height...
Authors
Zhuoting Wu, Dennis G. Dye, John M. Vogel, Barry R. Middleton

Economic impacts of a California tsunami Economic impacts of a California tsunami

The economic consequences of a tsunami scenario for Southern California are estimated using computable general equilibrium analysis. The economy is modeled as a set of interconnected supply chains interacting through markets but with explicit constraints stemming from property damage and business downtime. Economic impacts are measured by the reduction of Gross Domestic Product for...
Authors
Adam Rose, Ian Sue Wing, Dan Wei, Anne Wein

@KarlTheFog has been mapped! @KarlTheFog has been mapped!

Within the world of mapping, clouds are a pesky interference to be removed from satellite remote sensed imagery. However, to many of us, that is a waste of pixels. Cloud maps are becoming increasingly valuable in the quest to understand land cover change and surface processes. In coastal California, the dynamic summertime interactions between air masses, the ocean, and topography result...
Authors
Alicia A. Torregrosa

Evaluating lidar point densities for effective estimation of aboveground biomass Evaluating lidar point densities for effective estimation of aboveground biomass

The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) was recently established to provide airborne lidar data coverage on a national scale. As part of a broader research effort of the USGS to develop an effective remote sensing-based methodology for the creation of an operational biomass Essential Climate Variable (Biomass ECV) data product, we evaluated the performance of...
Authors
Zhuoting Wu, Dennis G. Dye, Jason M. Stoker, John M. Vogel, Miguel G. Velasco, Barry R. Middleton

A Unified Cropland Layer at 250-m for global agriculture monitoring A Unified Cropland Layer at 250-m for global agriculture monitoring

Accurate and timely information on the global cropland extent is critical for food security monitoring, water management and earth system modeling. Principally, it allows for analyzing satellite image time-series to assess the crop conditions and permits isolation of the agricultural component to focus on food security and impacts of various climatic scenarios. However, despite its...
Authors
Francois Waldner, Steffen Fritz, Antonio Di Gregorio, Dmitry Plotnikov, Sergey Bartalev, Nataliia Kussul, Peng Gong, Prasad S. Thenkabail, Gerard Hazeu, Igor Klein, Fabian Low, Jukka Miettinen, Vinay Kumar Dadhwal, Celine Lamarche, Sophie Bontemps, Pierre Defourny

Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests

In evergreen tropical forests, the extent, magnitude, and controls on photosynthetic seasonality are poorly resolved and inadequately represented in Earth system models. Combining camera observations with ecosystem carbon dioxide fluxes at forests across rainfall gradients in Amazônia, we show that aggregate canopy phenology, not seasonality of climate drivers, is the primary cause of
Authors
Jin Wu, Lauren Albert, Aline Lopes, Natalia Restrepo-Coupe, Matthew Hayek, Kenia T. Wiedemann, Kaiyu Guan, Scott C. Stark, Bradley Christoffersen, Neill Prohaska, Julia V. Tavares, Suelen Marostica, Hideki Kobayashi, Maurocio L. Ferreira, Kleber Silva Campos, Rodrigo da Silva, Paulo M. Brando, Dennis G. Dye, Travis E. Huxman, Alfredo Huete, Bruce Nelson, Scott Saleska

Ecoregions of California Ecoregions of California

Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. By recognizing the spatial differences in the capacities and potentials of ecosystems, ecoregions stratify the...
Authors
Glenn E. Griffith, James M. Omernik, David W. Smith, Terry D. Cook, Ed Tallyn, Kendra Moseley, Colleen B. Johnson

Mapping extent and change in surface mines within the United States for 2001 to 2006 Mapping extent and change in surface mines within the United States for 2001 to 2006

A complete, spatially explicit dataset illustrating the 21st century mining footprint for the conterminous United States does not exist. To address this need, we developed a semi-automated procedure to map the country's mining footprint (30-m pixel) and establish a baseline to monitor changes in mine extent over time. The process uses mine seed points derived from the U.S. Energy...
Authors
Christopher E. Soulard, William Acevedo, Stephen V. Stehman, Owen P. Parker

Hyperspectral narrowband and multispectral broadband indices for remote sensing of crop evapotranspiration and its components (transpiration and soil evaporation) Hyperspectral narrowband and multispectral broadband indices for remote sensing of crop evapotranspiration and its components (transpiration and soil evaporation)

Evapotranspiration (ET) is an important component of micro- and macro-scale climatic processes. In agriculture, estimates of ET are frequently used to monitor droughts, schedule irrigation, and assess crop water productivity over large areas. Currently, in situ measurements of ET are difficult to scale up for regional applications, so remote sensing technology has been increasingly used...
Authors
Michael T. Marshall, Prasad S. Thenkabail, Trent Biggs, Kirk Post

Model analysis of check dam impacts on long-term sediment and water budgets in southeast Arizona, USA Model analysis of check dam impacts on long-term sediment and water budgets in southeast Arizona, USA

The objective of this study was to evaluate the effect of check dam infrastructure on soil and water conservation at the catchment scale using the Soil and Water Assessment Tool (SWAT). This paired watershed study includes a watershed treated with over 2000 check dams and a Control watershed which has none, in the West Turkey Creek watershed, Southeast Arizona, USA. SWAT was calibrated...
Authors
Laura M. Norman, Rewati Niraula

Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA

Previous pedestrian evacuation modeling for tsunamis has not considered variable wave arrival times or critical junctures (e.g., bridges), nor does it effectively communicate multiple evacuee travel speeds. We summarize an approach that identifies evacuation corridors, recognizes variable wave arrival times, and produces a map of minimum pedestrian travel speeds to reach safety, termed a...
Authors
George R. Priest, Laura Stimely, Nathan J. Wood, Ian Madin, Rudie Watzig
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