Filters: partyWithName: Jessica J Walker (X) > partyWithName: Land Resources (X) > Types: OGC WMS Service (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (3) OGC WFS Layer (3) OGC WMS Layer (3) Contacts Christopher E Soulard Western Geographic Science Center U.S. Geological Survey - ScienceBase U.S. Geological Survey Roy E Petrakis More... Categories Data (2) Tag Types Theme (2) USGS Scientific Topic Keyword (3) Place (2) Harvest Set (3) Tag Schemes USGS Thesaurus (2) ISO 19115 Topic Category (2) None (1) Common geographic areas (2) Marine Realms Information Bank (MRIB) keywords (1) View Results as: JSON ATOM CSV

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 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 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