Filters: Date Range: {"choice":"year"} (X) > Tags: {"scheme":"Common Geographic Areas"} (X) > partyWithName: U.S. Geological Survey (X) > Types: Map Service (X)

Filters Date Types (for Date Range) Extensions Shapefile (1) Types OGC WFS Layer (2) OGC WMS Layer (2) Downloadable (1) OGC WMS Service (1) Shapefile (1) Contacts U.S. Geological Survey - ScienceBase Meryl B Storb David A Lange Adrian J Das Wyoming-Montana Water Science Center More... Categories Data (1) Tag Types Place (9) Tags (with Scheme=Common Geographic Areas) british columbia (1) california (1) canada (1) kings canyon national park (1) kootenay boundary (1) lake koocanusa (1) sequoia national park (1) More... View Results as: JSON ATOM CSV

Input Files and WRTDS Model Output for the two major tributaries of Lake Koocanusa Canadian discrete water quality data and daily streamflow records were evaluated using the Weighted Regression on Time, Discharge, and Seasons (WRTDS) model implemented with the EGRET R package (Hirsch et al. 2010, Hirsch and De Cicco 2015). Models were used to estimate loads of solutes and evaluate trends for three constituents of interest (selenium, nitrate, and sulfate). Six models were generated; one model for each of the three constituents of interest, in each of the two major tributaries to Lake Koocanusa: the Kootenay River at Fenwick (BC08NG0009), and the Elk River above Highway 93 Near Elko (BC08NK0003). Data were obtained by downloading data from the British Columbia Water Tool (https://kwt.bcwatertool.ca/surface-water-quality,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: British Columbia, Canada, Coal Mining, Elk River, Koocanusa Reservoir, All tags... Kootenai River, Kootenay Boundary, Lake Koocanusa, Lake Koocanusa, Nitrate, Selenium, Sulfate, Transboundary, USGS Science Data Catalog (SDC), Upper Kootenai, Water Quality, Fewer tags Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: California, Forestry, Kings Canyon National Park, Sequoia National Park, Sierra Nevada, All tags... Sierra Nevada, USGS Science Data Catalog (SDC), biota, conifer forest, conifer forests ecosystems, droughts, forest ecosystems, remote sensing, remote sensing validation, tree mortality, Fewer tags