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Filters Date Types (for Date Range) Extensions Raster (1) Types OGC WFS Layer (3) OGC WMS Layer (3) OGC WMS Service (3) Downloadable (1) GeoTIFF (1) Raster (1) Contacts Christopher E Soulard Todd J Hawbaker U.S. Geological Survey - ScienceBase U.S. Geological Survey Jerilyn V Collenburg More... Categories Data (2) Tag Types Theme (3) USGS Scientific Topic Keyword (2) Harvest Set (3) Place (2) Tag Schemes None (2) ISO 19115 Topic Category (3) USGS Thesaurus (2) Alexandria Digital Library Feature Type Thesaurus (1) Common geographic areas (2) Marine Realms Information Bank (MRIB) keywords (1) USGS information products (1) View Results as: JSON ATOM CSV

Estimated low-flow statistics at ungaged stream locations in New Jersey, water year 2023 Estimates of various low-flow statistics were computed at 56 ungaged stream locations throughout New Jersey during the 2023 water year using methods in the published reports, 1) Streamflow characteristics and trends in New Jersey, water years 1897-2003 (Watson and others, 2005) and 2) Implementation of MOVE.1, censored MOVE.1, and piecewise MOVE.1 low-flow regressions with applications at partial-record streamgaging stations in New Jersey (Colarullo and others, 2018). The estimates are computed as needed for use in water-resources permitting, assessment, and management by the New Jersey Department of Environmental Protection. The data release includes the stream name, location, drainage area, method of estimation,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Estimation, Hydrology, Low-flow statistics, MOVE.1, New Jersey, All tags... USGS Science Data Catalog (SDC), Water Resources, geoscientificInformation, inlandWaters, streamflow, 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 The Wildfire Hazard and Risk Assessment Inventory (ver. 2.0, September 2024) The Department of the Interior (DOI) Office of Wildland Fire and USGS created the The Wildfire Hazard and Risk Assessment Inventory to meet the Monitoring, Maintenance, and Treatment Plan requirements under the Bipartisan Infrastructure Law (BIL). It provides an inventory of key national, regional, and state wildfire risk and fire hazard assessments useful for understanding different characterizations of fire risk. Some of the assessments may be useful for communicating contributions toward risk reduction of treatments funded by DOI, including investments under BIL. For each assessment, the inventory provides a description and information about the spatial extent, resolution, fire modeling approach, values considered... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: USGS Science Data Catalog (SDC), biota, risk and hazard assessment, wildfire, wildland fire