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Watershed Pairing of Sub-Basins within Smith Canyon Watershed using a Hierarchical Clustering Approach This data release contains data used in an associated publication: Petrakis, R.E., Norman, L.M., Vaughn, K., Pritzlaff, R., Weaver, C., Rader, A., and Pulliam, H.R., 2021, Hierarchical Clustering for Paired Watershed Experiments: Case Study in Southeastern Arizona, U.S.A.: Water, v. 13, no. 21, p. 2955, https://doi.org/10.3390/w13212955. The overarching effects and benefits of land management decisions, such as through watershed restoration, are often not fully understood due to a lacking control within an experimental design. This can be addressed through the application of a paired watershed approach, allowing for comparison between treatment and control watersheds. We developed and applied a statistic-based... Tags: Arizona, Correlation Analysis, Environmental Health, Geography, Hierarchical Clustering, All tags... Land Use Change, Paired Watersheds, Patagonia, Arizona, Remote Sensing, Restoration, Santa Cruz County, Spatial Database Development, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, Fewer tags 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 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... Tags: American Samoa, Geography, Land Use Change, USGS Science Data Catalog (SDC), evacuation, All tags... hazards, modeling, pedestrian, tsunamis, Fewer tags DESIS and PRISMA spectral library of agricultural crops in California's Central Valley in the 2020 Growing Season Here we provide information for the DESIS and PRISMA Derived Spectral Library of Agricultural Crops in California which was developed using DESIS and PRISMA hyperspectral data acquired for 2020. The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). PRISMA images are available through the Italian Space Agency (ASI) (2022). The crop type data and confidence layer for the year 2020 can be accessed through the USDA National Agricultural Statistics Service (2022). The DESIS and PRISMA Derived Spectral Library of Agricultural Crops dataset characteristics are described below, with DESIS and PRISMA data provided in two separate CSV files. Related Primary Publication:... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), agriculture, All tags... hyperspectral imaging, remote sensing, Fewer tags Simulated Nisqually River Watershed 30-m resolution 2017 ecosystem carbon variables from the LUCAS model This simulated ecosystem carbon dataset is used to report terrestrial carbon balance of the Nisqually River basin in the Ecological Modelling paper "Modeling watershed carbon dynamics as affected by land cover change and soil erosion" The data is derived from simulations of the LUCAS model. Annual carbon variables of 2017 at 30m spatial resolution with 2426 rows and 2459 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in tif format and Albers equal area projection. Overall data creation steps: 1. The pIBIS model was used to generate annual carbon parameters of typical ecosystems. 2. The USPED model was used to generate annual soil erosion and deposition maps as affected by... Tags: Carbon, Conterminous U.S., Ecology, Land Use Change, Model, All tags... USGS Science Data Catalog (SDC), land cover change, Fewer tags Post-fire burn severity metrics from 2020 Glass fire in northern California from UAS surveys Two UAS surveys were flown within the 2020 Glass fire extent designated as Glass 1 with 338 images and Glass 3 with 352. Both sites were flown at 50m AGL using a 3DR Solo with a Ricoh GR II in a nadir position. The imagery was processed in WebODM with the following parameters: mesh-octree-depth=13, orthophoto-resolution=1,pc-filter=0,pc-quality=ultra. An orthomosiac and height-above-ground (HAG) raster were derived from both photogrammetry projects. The raster data released herein is a selected area of interest from both study sites. The point clouds are the full, raw dense-clouds; the centroids point file is a collection of hand digitized locations of the in-situ plots from each study site; and the csv is the observed... Tags: Land Use Change, Northern California, Remote Sensing, USGS Science Data Catalog (SDC), environment, All tags... wildfires, Fewer tags Data supporting Landsat time series assessment of invasive annual grasses following energy development 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... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, California South, Google Earth Engine, Landsat, Normalized Difference Vegetation Index, All tags... USGS Science Data Catalog (SDC), desert ecosystems, ecology, energy development, energy resources, grassland ecosystems, grasslands, invasive species, nonindigenous species, time series, vegetation, wind energy, Fewer tags Datasets for Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California 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:... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: USGS Science Data Catalog (SDC), Water Resources Annual (1986-2020) land-use/land cover maps of the Santa Cruz Watershed and Tucson metropolitan area, Arizona Annual (1986-2020) land-use/land cover maps at 30-meter resolution of the Tucson metropolitan area, Arizona and the greater Santa Cruz Watershed including Nogales, Sonora, Mexico. Maps were created using a combination of Landsat imagery, derived transformation and indices, texture analysis and other ancillary data fed to a Random Forest classifier in Google Earth Engine. The maps contain 13 classes based on the National Land Cover Classification scheme and modified to reflect local land cover types. Data are presented as a stacked, multi-band raster with one "band" for each year (Band 1 = 1986, Band 2 = 1987 and so on). Note that the year 2012 was left out of our time series because of lack of quality Landsat data.... Tags: Geography, Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), biota, All tags... borderlands, environment, land use land cover, Fewer tags Projections of 5 coupled scenarios of land-use change and groundwater sustainability for California's Central Coast (2001-2061) - LUCAS-W model 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.... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Central California Coast, Ecology, LUCAS Model, Land Use Change, Monterey County, All tags... San Benito County, San Luis Obispo County, Santa Barbara County, Santa Cruz County, USGS Science Data Catalog (SDC), Water Resources, groundwater, land change, land cover/land use, modeling, water demand, water level, water level, urban groundwater, groundwater altitude, Fewer tags Favorability of environmental conditions for coral reefs in Guam and American Samoa under multiple climate scenarios This dataset consists of raster geotiff outputs of relative environmental favorability for coral growth and survival in the United States territories of Guam and American Samoa across 3 climate scenarios: Present, Intermediate Emissions (Representative Concentration Pathway 4.5), and Worst Case Emissions (Representative Concentration Pathway 4.5). These datasets were generated from a synthesis of spatial variability in many environmental conditions, including thermal stress, wave power, irradiance, chlorophyll concentrations, macroalgal cover, calcite concentrations, turbidity, and erosion. Input conditions were classified as “Managed” or “Non-managed” based on whether the condition could be managed at the island... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: American Samoa, American Samoa, Ecology, Guam, Guam, All tags... PICASC, Pacific Islands Climate Adaptation Science Center, U.S. Geological Survey, USGS, USGS Science Data Catalog (SDC), WGSC, Western Geographic Science Center, Wildlife Biology, corals, Fewer tags (iii) Raster Stacks of Climate Period Sen's Slope Products for the Vegetation Indices across the Upper Gila River Watershed: 1985 to 2021 We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developing using satellite imagery, including the Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap (TC) Transformation. The NDVI is a commonly used vegetation... Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Cambodia, Dynamic Surface Water Extent, Geography, Hydrology, Inundation, All tags... Landsat, Remote Sensing, Southeast Asia, USGS Science Data Catalog (SDC), environment, flooding, inland waterways, inlandWaters, surface water (non-marine), Fewer tags DSWEmod surface water map composites generated from daily MODIS images - California 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Dynamic Surface Water Extent, Geography, Hydrology, Inundation, All tags... Remote Sensing, USGS Science Data Catalog (SDC), environment, flooding, geoscientificInformation, imageryBaseMapsEarthCover, inland waterways, inlandWaters, multispectral imaging, surface water (non-marine), Fewer tags PlanetScope and DESIS spectral library of agricultural crops in California's Central Valley for the 2020 growing season Here we provide information for the PlanetScope and d Deutsches Zentrum fur Luft- und Raumfahrt (DLR) Earth Sensing Imaging Spectrometer (DESIS) Derived Spectral Library of Agricultural Crops in California which was developed using PlanetScope Dove-R high spatial resolution data and DESIS hyperspectral data acquired for 2020. PlanetScope images are available through Planet Labs (2022). The DESIS images used for this dataset are available through the German Aerospace Center and Teledyne Brown (2022). The crop type data and confidence layer for 2020 can be accessed through the United States Department of Agriculture National Agricultural Statistics Service (2022). The PlanetScope and DESIS Derived Spectral Library... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), United States, All tags... agriculture, biota, hyperspectral imaging, remote sensing, Fewer tags County-level maps of cropland surface water inundation measured from Landsat and MODIS This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, Geography, Hydrology, Landsat, MODIS, All tags... Remote Sensing, USGS Science Data Catalog (SDC), agricultural sites, agriculture, controlled flooding, farming, floods, hazard preparedness, image collections, imageryBaseMapsEarthCover, irrigation, multispectral imaging, Fewer tags Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050 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... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Geography, Great Basin, Land Use Change, Nevada, Oregon, All tags... Remote Sensing, USGS Science Data Catalog (SDC), USGS-EMA-LOW-PL Sagebrush Steppe, barren lands, biota, climatologyMeteorologyAtmosphere, environment, grasslands, shrubland ecosystems, shrublands, Fewer tags (v) Raster Stack of Monthly Normalized Difference Vegetation Index (NDVI) for the Bylas Fire Case Study: 2014 to 2022 We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developed using satellite imagery, including the Normalized Difference Vegetation Index (NDVI). The NDVI is a commonly used vegetation index that quantifies relative greenness... Crop Specific Landsat Derived Reference Evapotranspiration, Evaporative Fraction, and Actual Evapotranspiration for 2016 in the California Central Valley This dataset contains Landsat-derived images of Evaporative Fraction (ETf), Reference Evapotranspiration (ETo), and Actual Evapotranspiration (ETa) over a portion of California’s Central Valley for 15 dates in 2016. Each of the 15 images used in this study had three corresponding Tif files representing ETf, ETo, and ETa. Data used in this project was sourced from Landsat 8 Surface Reflectance Tier 1 images processed in Google Earth Engine (GEE). These images contain five visible and near-infrared (VNIR) bands and two short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and two thermal infrared (TIR) bands processed to orthorectified brightness temperature. To determine thermal properties... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, California Valley, Geography, Land Use Change, Remote Sensing, All tags... USGS Science Data Catalog (SDC), United States, agriculture, biota, evaporation, remote sensing, transpiration, water use, Fewer tags Wetlands in the state of Arizona We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Arizona, Ecology, Geography, Hydrology, Land Use and Land Cover Map, All tags... Remote Sensing, USGS Science Data Catalog (SDC), desert ecosystems, deserts, imageryBaseMapsEarthCover, land use and land cover, wetlands, wetlands, Fewer tags Data Supporting Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA This data release documents the steps performed to create classified cropland fallow maps for the Northern Great Plains region of the United States from the years 2010 to 2019. The data release consists of the following: (i) an XML metadata file, (ii) a table of reference data (iii) two decision tree models, and (iv) 10 single band GeoTIFFs. The XML file named ‘Metadata.xml’ describes steps that were used to create this dataset. The table of reference data named ‘RefrenceSamples.csv’ list the training and validation point values used to train the decision tree classifiers and preform accuracy assessments. The two decision trees named ‘decisionTree_0.005.txt’ and ‘decisionTree_0.007.txt’ were used to classify remote... Categories: Data; Tags: Colorado, Geography, Land Use Change, Minnesota, Montana, All tags... Nebraska, North Dakota, Remote Sensing, South Dakota, USGS Science Data Catalog (SDC), Wyoming, agriculture, biota, fallow, grassland ecosystems, Fewer tags 1 2 3 4 »