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Note: This dataset has been revised and superseded by version 2.0, available here: https://doi.org/10.5066/P90PG34S.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:...
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.
This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation, we ran 100 Monte Carlo simulations based on empirically observed rates of change at a relatively fine scale (270m). We sampled from multiple observed rates of change at the county level to introduce heterogeneity into the Monte Carlo simulations. Using this approach allowed the model to project different outcomes that were summarized...
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.
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...
To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland waterbird habitat based on the State’s most recent climate and land use projections (Wilson et al. 2021).The USGS Western Geographic Science Center and Point Blue Conservation Science modeled a Business-as-Usual scenario plus the four scenarios developed for the Central Valley Landscape Conservation Project, which diverged along two key themes: water availability and management for conservation. Scenarios varied by climate projection (hot and wet vs. warm and dry) and management priorities (wetland restoration rate, crop...
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...
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...
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...
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,
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...
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,
Distant tsunamis require short-notice evacuations in coastal communities to minimize threats to life safety. Given the available time to evacuate and potential distances out of hazard zones, coastal transportation planners and emergency managers can expect large proportions of populations to evacuate using vehicles. A community-wide, short-notice, distant-tsunami evacuation is challenging because it creates a sudden, significant, and concentrated demand on road-network systems. Transportation planners and emergency managers need methods to help them determine if a road network can handle an evacuation surge and if not, where interventions can best reduce overall clearance times. We use the coastal community of Bay...
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,...
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.
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,
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,
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....
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,
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...
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