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This data release is comprised of a set of eight time travel map shapefiles (two tsunami inundation zones and four travel times) for use in GIS software applications and two population exposure by travel time tables (residents and nonresidences) for use in GIS software applications and other standalone spreadsheet applications. The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction...
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To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used...
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This data release comprises the data files and code necessary to perform all analyses presented in the associated publication. The *.csv data files are aggregations of water extent on the basis of the European Commission's Joint Research Centre (JRC) Monthly Water History database (v1.0) and the Dynamic Surface Water Extent (DSWE) algorithm. The shapefile dataset contains the study area 8-digit hydrologic unit code (HUC) regions used as the basis for analysis. Html files provide an overview of the study workflow and integrated R notebooks (in .Rmd format) for recreating all project results and plots. The R notebook ingest the necessary data files from their online locations. These data support the following publication:...
LUCAS-W is a scenario-based simulation model of coupled land use change and associated water demand for California's Central Coast region from 2001-2061. The model is a verison of the LUCAS model, which uses the SyncroSim software framework (Software documentation available at http://doc.syncrosim.com/index.php?title=Reference_Guide), that contains a new coupling with statistical software R (https://www.r-project.org/) to enable dynamic feedbacks between land-use change, resulting water demand, and water availability. The model was parameterized with land-use change and water use empirically estimated from county-scale historic data, as well as results from dozens of local agencies’ groundwater modeling efforts....
USGS researchers with the Patterns in the Landscape – Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to generate surface water map composites in California for 2003-2019 at a 250-m pixel resolution. Daily maps were merged to create 6, 3, 2, and 1 composite(s) per month corresponding to approximately 5-day, 10-day, 15-day, and monthly products, respectively. The resulting maps are available as downloadable files for each year. Each...
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This data release comprises the raster data files and code necessary to perform all analyses presented in the associated publication. The 16 TIF raster data files are classified surface water maps created using the Dynamic Surface Water Extent (DSWE) model implemented in Google Earth Engine using published technical documents. The 16 tiles cover the country of Cambodia, a flood-prone country in Southeast Asia lacking a comprehensive stream gauging network. Each file includes 372 bands. Bands represent surface water for each month from 1988 to 2018, and are stacked from oldest (Band 1 - January 1988) to newest (Band 372 - December 2018). DSWE classifies pixels unobscured by cloud, cloud shadow, or snow into five...
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As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering part of the northern Great Basin (Beaty Butte Herd Management Area, Hart Mountain National Antelope Refuge, and Sheldon National Refuge). The dataset contains an empirically-based business-as-usual (BAU) and an RCP8.5 climate change scenario executed for shrub, herbaceous, and bare cover types. Each scenario is executed 30 times (i.e. Monte Carlo simulations) to account for variability across historical change estimates derived from annual fractional cover maps generated by the National Land Cover Database. The map dates...
This dataset consists of raster geotiff and tabular outputs of annual map projections of land use and land cover for the California Central Valley for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management), California Dreamin’ (DREAM; high water, good management), Central Valley Dustbowl (DUST; low water, poor management), and Everyone Equally Miserable (EEM; low water, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, and habitat restoration...
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Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA....
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Scenario-based simulation model projections of land use change, ecosystem carbon stocks, and ecosystem carbon fluxes for the State of California from 2001-2101 using the SyncroSim software framework, see http://doc.syncrosim.com/index.php?title=Reference_Guide for software documentation. We explored four land-use scenarios and two radiative forcing scenarios (e.g. Representative Concentration Pathways; RCPs) as simulated by four earth system models (i.e. climate models). Results can be used to understand the drivers of change in ecosystem carbon storage over short, medium, and long (e.g. 100 year) time intervals. See Sleeter et al. (2019) Global Change Biology (doi: 10.1111/gcb.14677) for detailed descriptions of...
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Mapping the spatial dynamics of perceived social value across the landscape can help develop a restoration economy that can support ecosystem services in the region. Many different methods have been used to map perceived social value. We used the Social Values for Ecosystem Services (SolVES) GIS tool, version 3.0, which uses social survey responses and various environmental variables to map social value. In the social survey distributed by the Borderlands Restoration Network (BRN) in May 2017, the respondents were asked to consider twelve different social values and map locations on a map where they perceived those social values to be. Additionally, they were asked to weigh each social value using a total of 100...
This dataset contains vegetation data collected at a variety of watershed restoration sites across southeastern Arizona over 5 years. The semiarid habitats in the Madrean Archipelago Ecoregion, which extends from southern Arizona into northern Mexico, are facing many challenges from climate change to land use change which threaten the ecological and cultural values of the region. Watershed restoration practitioners use a variety of techniques such as gabions, check dams, and cross vanes to reduce the effects of these threats and improve or maintain watershed function. Since vegetation dynamics in the area are driven by water availability, these restoration techniques appear to have secondary effects on the vegetation...
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This data series provides tabular output from a series of modeling simulations for the State of California. The methods and results of this research are described in detail in Sleeter et al. (2019). We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use and land use change, climate change, and ecosystem disturbances such as wildfire and drought. The model was run at a 1-km spatial resolution on an annual timestep. We simulated 32 unique scenarios, consisting of 4 land-use scenarios and 2 radiative forcing scenarios as simulated by 4 global climate models. For each scenario, we ran 100 Monte Carlo realizations of the model. Additional details describing the modeling effort...
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This dataset contains 10 classified raster images identifying the distribution and condition of biological soil crusts using high-resolution imagery from Unmanned Aerial Systems (UAS). Also included are: a supplemental accuracy report and accuracy matrix for each classified image, and all associated accessory files. These images are located in Beef Basin, Southeastern Utah, and focuses on two ecological site types: Semidesert Shallow Loam, and Upland Stony Loam ('Sagebrush' and 'Pinyon-Juniper') sites. Five 50 x 50 m field sites were established for a total of 10 sites.
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Tabular data output from a series of modeling simulations for the seven main Hawaiian Islands. We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use, land use change, climate change, and wildfire. The model was run at a 250-m spatial resolution on an annual timestep from the years 2010 to 2100. We simulated four unique scenarios, consisting of all combinations of two land-use scenarios and two radiative forcing scenarios. For each scenario, we ran 30 Monte Carlo realizations of the model. Results presented here have been aggregated from the individual cell level and summarized by island or vegetation class. Model input data and the R code used to generate it, as well as R...
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This simulated ecosystem carbon dataset is used to report terrestrial carbon budget of the conterminous U.S. in the Golobal Change Biology paper "Critical land change information enhances understanding of carbon balance in the U.S." The data is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolution with 3052 rows and 4823 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in NetCDF format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were...
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This zip file contains spatial, descriptive and digital camera image data for a vegetation field dataset collected on the San Carlos Apache Reservation and surrounding area in Arizona, and used for analysis in the associated publication. Data consists of vector point data, vegetation community type, field observations, and digital camera images that correspond with the images in the associated directory. This field data was used, in addition to historical field data from the SWReGAP project, to characterize the accuracy of the vegetation maps generated by the techniques described in the associated publication. The maps generated by these techniques did not improve on the accuracy of existing maps and are, therefore,...
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This simulated ecosystem carbon dataset is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolution with 3052 rows and 4823 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in NetCDF format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were converted to NetCDF format; 3. 1971-2015 subsets were clipped from original 1901-2015 simulation outputs. Variable List: aynbp – annual net biome productivity ayneetot – net ecosystem productivity aynpptot...
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These datasets supports the conclusions in the journal article entitled "Variations in community evacuation potential related to average return periods in probabilistic tsunami hazard analysis" as described in the abstract below: Tsunami risk management requires strategies that can address multiple sources with different recurrence intervals, wave-arrival times, and inundation extents. Probabilistic tsunami hazard analysis (PTHA) provides a structured way to integrate multiple sources, including the uncertainties due to the natural variability and limited knowledge of sources. PTHA-based products relate to specific average return periods (ARP) and while there has been considerable attention paid to ARP choice for...


map background search result map search result map Pedestrian tsunami evacuation results for two tsunami-inundation zones (2009 and probable maximum tsunami (PMT)) and four travel speeds (slow walk, fast walk, slow run, and fast run) for American Samoa Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12) Vegetation Survey of the San Carlos Apache Reservation, Arizona and Surrounding Area (September to November 2017). Pedestrian tsunami evacuation results for three California probabilistic tsunami hazard zones and four travel speeds (shapefiles) and impaired walk travel times for all zones by parcel land-use and flow depth class (tables) Land change and carbon balance scenario projections for the State of California USGS Data Release: Land change and carbon balance scenario projections for the State of California - model output USGS Data Release: Land change and carbon balance scenario projections for the State of California - model Datasets for Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California Perceived Social Value of the Sonoita Creek Watershed using the Social Values for Ecosystem Services (SolVES) Tool, Arizona, U.S.A. Data supporting Landsat time series assessment of invasive annual grasses following energy development Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050 High-resolution object-based image classifications of biological soil crusts and vegetation (Beef Basin, Utah) Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020) Land change and carbon balance projections for the Hawaiian Islands Simulated CONUS-wide 1-km resolution 1971-2015 ecosystem carbon variables from the IBIS model DSWEmod surface water map composites generated from daily MODIS images - California Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley Short Term Vegetation Response Study at Watershed Restoration Structures in Southeastern Arizona, 2015 - 2019 High-resolution object-based image classifications of biological soil crusts and vegetation (Beef Basin, Utah) Perceived Social Value of the Sonoita Creek Watershed using the Social Values for Ecosystem Services (SolVES) Tool, Arizona, U.S.A. Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050 Vegetation Survey of the San Carlos Apache Reservation, Arizona and Surrounding Area (September to November 2017). Short Term Vegetation Response Study at Watershed Restoration Structures in Southeastern Arizona, 2015 - 2019 Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model Data supporting Landsat time series assessment of invasive annual grasses following energy development Land change and carbon balance projections for the Hawaiian Islands Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps Datasets for Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California Pedestrian tsunami evacuation results for three California probabilistic tsunami hazard zones and four travel speeds (shapefiles) and impaired walk travel times for all zones by parcel land-use and flow depth class (tables) Land change and carbon balance scenario projections for the State of California DSWEmod surface water map composites generated from daily MODIS images - California USGS Data Release: Land change and carbon balance scenario projections for the State of California - model output USGS Data Release: Land change and carbon balance scenario projections for the State of California - model Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020) Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12) Simulated CONUS-wide 1-km resolution 1971-2015 ecosystem carbon variables from the IBIS model