Filters: partyWithName: U.S. Geological Survey (X) > Extensions: Community (X)

Filters Date Range Past year (3) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types (Less) Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) OGC WMS Service (2) Contacts (Less) Audra (Contractor) J Griebel Pacific Coastal and Marine Science Center Jesslyn Brown U.S. Geological Survey - ScienceBase Josephine A Horton (CTR) PCMSC Science Data Coordinator Natural Hazards Categories (Less) Data (1) Project (1) Tag Types Theme (2) Label (1) Place (2) View Results as: JSON ATOM CSV

Rangeland Condition Monitoring Assessment and Projection (RCMAP) The USGS RCMAP (Rangeland Condition Monitoring Assessment and Projection) project has worked with BLM scientists and land managers to develop actionable remote-sensing based vegetation classifications. RCMAP quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2024. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, shrub height, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. The mapping area included eight regions which were subsequently... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: RCMAP, back-in-time, climate change, grassland change, projections, All tags... rangeland, rangeland management, shrubland change, shrublands, time series, trends, vegetation change, Fewer tags USGS Land Cover The LCNext project has combined concepts and methodology from the legacy LCMAP and NLCD projects, along with modern deep learning convolutional neural networks, to produce promising prototypes of next generation land cover products. The new land cover algorithm will serve as the new baseline for USGS land cover production. NLCD 2023 is a U.S. Geological Survey (USGS) science initiative implemented at the Earth Resources Observation and Science (EROS) Center that harnesses the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. NLCD 2023 uses a modernized, integrated approach to map, monitor, synthesize, and... Coastal Storm Modeling System (CoSMoS) The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current conditions and future SLR scenarios, and in many locations, there are additional products for long-term shoreline change, cliff retreat, and groundwater hazards.  Resulting projections for future climate scenarios (sea-level rise and storms) provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety and mitigate physical damages to reduce risk, and more effectively manage and allocate resources to increase resilience in response to a changing climate... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMG, CMGP, California, Cliffs, All tags... Climate Change, Coastal and Marine Geology, Erosion, Extreme Weather, Floods, Hazards Planning, Ocean Waves, Ocean Winds, PCMSC, Pacific Coastal and Marine Science Center, Sea-Level Rise, Storm Surge, Storms, U.S. Geological Survey, USGS, environmental justice, Fewer tags Land Change Monitoring, Assessment, and Projection (LCMAP) Land Change Monitoring, Assessment, and Projection (LCMAP) represents a new generation of land cover mapping and change monitoring from the U.S. Geological Survey’s Earth Resources Observation and Science (EROS) Center. LCMAP answers a need for higher quality results at greater frequency with additional land cover and change variables than previous efforts. By utilizing a suite of operational automated algorithms to identify different forms of change and to characterize the large variety of land cover types, uses, and conditions that exist across the United States and beyond, LCMAP products provide land change science information in understanding changes in the type, intensity, condition, location, and time of... Categories: Project; Tags: Conterminous United States (CONUS), Continuous Change Detection and Classification (CCDC), LCMAP, Land Cover, Land Use, All tags... Land Use/Land Cover, Landsat, Landsat Analysis Ready Data (ARD), Machine learning, assessment, change, monitoring, projection, validation, Fewer tags California Seafloor Mapping Program This landing page is meant only to be a holding directory for those data from USGS Data Series 781 (https://pubs.usgs.gov/ds/781/) of the California Seafloor Mapping Program (CSMP) in which the data are housed on ScienceBase rather than in the USGS Publications Warehouse. See the README file in the Files section below for more information. Tags: CSMP, Curvature, Paleoshorelines, Slope, Submarine Landslide Scarps