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Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States Note: This dataset has been revised and superseded by version 2.0, available here: https://doi.org/10.5066/P90PG34S. 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:... Tags: C-band synthetic aperture radar, Cape Cod, Chesapeake Bay, Ecology, National greenhouse gas inventory, All tags... Puget Sound, Remote Sensing, Remote sensing, San Francisco Bay, St Mary Parish, Terrebonne Parish, The Everglades, aboveground carbon stocks, multispectral imagery, plant biomass, plant functional type, tidal marsh biomass, Fewer tags Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2011 Polygon locations of fire perimeters in the Sky Island mountain ranges in the Madrean Archipelago Ecoregion of the southwestern United States and northern Mexico. These fires occurred from 1985 to 2011 and were mapped using Landsat satellite imagery. Tags: Arizona, USA, Chihuahua, Mexico, Land Use Change, Madrean Archipelago, New Mexico, USA, All tags... Remote Sensing, Sonora, Mexico, USGS Science Data Catalog (SDC), biota, burn mapping, fire severity, landsat, remote sensing, wildfire, Fewer tags Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2017 Polygon locations of fire perimeters in the Sky Island mountain ranges in the Madrean Archipelago Ecoregion of the southwestern United States and northern Mexico. These fires occurred from 1985 to 2017 and were mapped using Landsat satellite imagery. Tags: Arizona, USA, Chihuahua, Mexico, Ecology, Forestry, Geography, All tags... Madrean Archipelago, Madrean Archipelago, Mexico, New Mexico, USA, Remote Sensing, Sonora, Mexico, US, USGS, USGS Science Data Catalog (SDC), biota, biota, burn mapping, remote sensing, wildfire, 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 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 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 Spatial Database of Known and Potential Ciénegas in the Greater Madrean Archipelago Ecoregion This dataset provides location information and some limited attributes of known and potential ciénegas in the Madrean Archipelago ecoregion and closely surrounding area. This was created using point data and information provided by Dean Hendrickson and Thomas Minckley, combined with potential locations derived from analysis of classified raster land cover images and other specialized datasets. Ciénegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Ciénegas are typically located at elevations ranging from 0 to 2000m. Ciénegas are typified by significant differences in... Tags: Arizona, Ecology, Geography, Hydrology, Land Use Change, All tags... Madrean Archipelago ecoregion, New Mexico, Sonora, USGS Science Data Catalog (SDC), arid lands, ciénaga, ciénega, freshwater marsh, inlandWaters, springs, wetland ecosystems, 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 Hydrologic Data Collected at Leaky Weirs, Cienega Ranch, Willcox, AZ (March 2019 - October 2020) This dataset contains hydrological data collected at a series of leaky weirs on a working ranchland site in a semiarid ecosystem in Cochise County, Arizona, from 2018-2020. Leaky weirs are a type of structure being experimented with by land managers in aridlands to reduce peak flow events and increase recharge to the aquifer. The weirs are constructed of rock cemented into place in areas of exposed bedrock within the channel are built to allow for water to leak through slowly. Three sites were instrumented for monitoring, one control and two sites treated with ‘leaky weirs’. At each site, at least one pressure transducer was installed in a piezometer to measure water level. Each site also had multiple “3-in-1” gauges,... Categories: Data; Tags: Arizona, Cochise, Dos Cabezas, Hydrology, Land Use Change, All tags... USGS Science Data Catalog (SDC), United States, Water Resources, ecosystem monitoring, environment, field methods, hydrology, watershed restoration, 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 Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-clearing, high-severity fire. The locations represent areas of vegetative recovery towards pre-fire (coniferous/pine) vegetation communities or towards novel grassland, shrubland, or deciduous replacements. Each sampled area is associated with the point location (latitude/longitude) as well as multiple calendar year phenometrics derived from the time-series of normalized difference vegetation index (NDVI) values in the phenology software package Timesat v3.2. Categories: Data; Tags: Arizona, Ecology, Fire, Forest, Geography, All tags... NDVI, New Mexico, Phenometrics, Pinus ponderosa, Ponderosa pine, Remote Sensing, USGS Science Data Catalog (SDC), biota, fire damage, fires, forest ecosystems, forests, phenology, Fewer tags Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change This dataset contains .csv and .tif image files in support of the conclusions published in "Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change" in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, California, Central Valley, LUCAS model, Land Use Change, All tags... USGS Science Data Catalog (SDC), Water Resources, land use and land cover change, modeling, water, water demand, Fewer tags Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the central Cascade Mountain area, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest patches identified in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Cascade Mountains, Cascade Range, Forestry, Geography, LCMAP; CCDC; land use; land cover; land change; forest harvest, All tags... Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), United States, Washington (state), forest ecosystems, forest resources, geoscientificInformation, image collections AND multispectral imaging, imageryBaseMapsEarthCover, Fewer tags 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 Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time... Tags: California, Central Valley, Central Valley of California, Ecology, Emergent Vegetation, All tags... Geography, LANDSAT, LANDSAT 8, Land Use Change, Landscape, Planet, Remote Sensing, Sacramento, San Joaquin, USGS Science Data Catalog (SDC), Wetlands, biota, birds, environment, habitats, image collections, migratory birds, multispectral imaging, remote sensing, satellite imagery, shore birds, wetland ecosystems, Fewer tags Projecting community changes in hazard exposure to support long-term risk reduction: a case study of tsunami hazards in the U.S. Pacific Northwest Tsunamis have the potential to cause considerable damage to communities along the U.S. Pacific Northwest coastline. As coastal communities expand over time, the potential societal impact of tsunami inundation changes. To understand how community exposure to tsunami hazards may change in coming decades, we projected future development (i.e. urban, residential, and rural), households, and residents over a 50-year period (2011-2061) along the Washington, Oregon, and northern California coasts. We created a spatially explicit, land use/land cover, state-and-transition simulation model to project future developed land use based on historical development trends. We then compared our development projection results to tsunami-hazard... Categories: Data; Types: Citation; Tags: Hazards, Land Use Change, Pacific Northwest, Tsunamis, USGS Science Data Catalog (SDC) Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices.... Tags: California, Central Valley, Ecology, Environmental Health, Geography, All tags... Information Sciences, Remote Sensing, Sacramento, San Joaquin, USGS Science Data Catalog (SDC), Water Resources, Wildlife Biology, biota, environment, habitats, image collections, multispectral imaging, remote sensing, wetland ecosystems, Fewer tags 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 1 2 3 4 5 »