Fort Collins Science Center

Data and Tools

Our interdisciplinary, integrated science teams develop various data sets and tools in support of the USGS mission areas. These tools then aid natural resource managers in decision making and support of the complex issues they face in today's world.

Filter Total Items: 437
Date published: January 20, 2016

Predicted specific mean daily flow of small streams in the Upper Colorado River Basin based on historic flow data

Our objective was to model specific mean daily flow (mean daily flow divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado Riv

Date published: January 20, 2016

Predicted 7-day minimum flow of small streams in the Upper Colorado River Basin based on historic flow data

Our objective was to model 7-day minimum flow (mean of the annual minimums of a 7-day moving average for each year [cubic feet per second]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorad

Date published: January 20, 2016

Predicted frequency of low-flow pulse events for small streams in the Upper Colorado River Basin under historic hydrologic conditions.

Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected...

Date published: January 1, 2016

WLCI - Important Agricultural Lands Assessment (Input Raster: Irrigated Lands - Wet Years)

This dataset is a binary input representing irrigated areas (during 'wet' years) as a raster dataset. Parcels identified as being irrigated are assigned a value of 1 while non-irrigated areas are assigned a value of 0. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Date published: January 1, 2016

Modeled Streamflow Metrics on Small, Ungaged Stream Reaches in the Upper Colorado River Basin: Data

Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S. Geological Survey in cooperation with Colorado State University, the objectives were to model streamflow metrics on small, ungaged streams in the Upper Colorado River Basin and identify streams that are p...

Date published: January 1, 2016

WLCI - Important Agricultural Lands Assessment (Input Raster: NLCD Lands Classified as Hay/Pasture or Cultivated Crops)

This dataset represents numerical values denoting a binary identification of whether a particular condition is met. In this case, values represent whether a given land parcel (represented as a pixel) is classified as "Hay/Pasture" or "Cultivated Crops" (pixels will be assigned a value of 1), or not (all pixels not in one of these categories will be assigned a value of 0)

Date published: January 1, 2016

WLCI - Important Agricultural Lands Assessment (Input Raster: Irrigated Lands - Dry Years)

This dataset is a binary input representing irrigated areas (during 'dry' years) as a raster dataset. Parcels identified as being irrigated are assigned a value of 1 while non-irrigated areas are assigned a value of 0. This raster is one of 9 inputs used to calculate the "Normalized Importance Index."

Date published: October 9, 2015

Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011

This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis...

Date published: January 1, 2015

Invertebrate sampling data from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers. During week-long site visits in May and September, we monitored the airspace surrounding towers and observed i

Date published: January 1, 2015

Infrared thermography data from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers. During week-long site visits in May and September, we monitored the airspace surrounding towers and observed i

Date published: January 1, 2015

Video Surveillance Imagery of the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar, surveillance video, and insect trapping to monitor animals flying near the towers. During week-long site visits in May and September, we monitored the airspace surrounding towers and observed in

Date published: January 1, 2015

Data Recordings from the Ivanpah Solar Electric Generating System (ISEGS) Facility Recorded by the USGS during Spring and Fall 2014

These data consist of several discrete data resources captured at the Ivanpah Solar Electric Generating System (ISEGS) during 2014. The data include 1) Thermal (infrared) data recordings 2) Tabular data representing insect (invertebrate) measurements. 3) Video files 4) Radar data