Filters: Date Range: {"choice":"week"} (X) > Tags: {"scheme":"USGS Thesaurus"} (X) > Categories: Data (X) > Types: OGC WMS Service (X)
3 results (35ms)
Filters
Date Types (for Date Range)
Types
Contacts
Tag Types Tags (with Scheme=USGS Thesaurus) |
This data release contains phytoplankton data and vertical profile measurements of water quality and light in oligotrophic (low nutrient) lakes within the Adirondack Park, New York State. Data were collected between June and October 2021 at five lakes. Four lake locations (Nearshore, Open Water, Layer, Bloom) were sampled representing one of four sample types (Bottom Sediment, Surface Water, Bloom Material, Layer). Water-quality field parameters (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and fluorescent dissolved organic material) were measured at each sampling location from the surface to the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack Park,
Algal concentration,
Blue Mountain Lake,
Blue-green algae,
Brant Lake,
The U.S. Geological Survey (USGS), in cooperation with the Cook County Bureau of Technology (BOT), prioritized waterbodies (lakes, rivers, and canals) of interest within Cook County to survey in 2022. These surveys describe the bathymetry and basic water-quality conditions observed, and could be used by the BOT to assist with resource management decisions and uses, as well as build an inventory that could be shared with other local governmental agencies. Waterbodies surveyed in 2022 and included in this data release are: Arrowhead Lake, Axehead Lake, Baker's Lake, Belly Deep Slough, Bode Lake North, Bode Lake South, Bull Frog Lake, Busse Lake Main Pool, Busse Lake North Pool, Busse Lake South Pool, Busse Woods...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chicago,
Cook County,
Environmental Health,
Geography,
Hydrology,
The objective of this project was to create a shoreline inventory for Hawai‘i Island, the largest and most diverse island in the Hawaiian archipelago. This was done via the collection and processing of high-resolution (<4 cm) aerial imagery along the approximately 428 km long shoreline of Hawai‘i Island using a helicopter-mounted imaging system developed by the University of Hawai‘i at Hilo Spatial Data Analysis & Visualization (SDAV) research laboratory. The collected imagery is supplemented by survey-grade ground control data gathered across a limited number of high priority coastline segments, which were determined in coordination with the Hawai‘i County planning department and land managers. These data represent...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hawaii Island,
aerial photography,
biota,
geospatial datasets
|
|