163 results — topic: Remote Sensing & Imagery

Thesis

DEFINING THE ENDMEMBER SYSTEM OF US SOILS AND QUANTIFYING RELATIONSHIPS, AND A HYPERSPECTRAL APPROACH TO THE ALTERATION STRENGTH INDEX

Soils form a complex part of the environment, providing important functions in systems such as food production, groundwater movement, and ecosystem health. There have been numerous studies on soil geochemistry and the origin of elements within soils, but few studies into quantifying the relationship

Rulison Rachel2022DOI: 10.37099/mtu.dc.etdr/1444
Dataset

Drone ortho basemap of the Gothic Townsite, November 15th, 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in Sunny conditions on November 15th, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample dista

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, August 27th 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in Sunny conditions on August 27th, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample distanc

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, September 25th, 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in Sunny conditions on September 25th, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample dist

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, July 22nd 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in cloudy conditions on July 22nd, 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample distance

Ian Breckheimer2021
Dataset

Drone ortho basemap of the Gothic Townsite, June 17th, 2019

This is a visible (RGB) orthomosaic derived from UAV imagery via Structure from Motion processing. UAV flights were performed in sunny conditions on June 17th 2019, collecting RGB images using the built-in camera on a DJI Mavic 2 Pro. The raw imagery had an approximately 3cm ground sample distance (

Ian Breckheimer2021
Dataset

Thermal infrared and photogrammetric data collected by small unoccupied aircraft system for hydrogeologic analysis of Oh-be-joyful Creek, Gunnison National Forest, Colorado, August 2017

The U.S. Geological Survey collected low-altitude airborne thermal infrared data and visual imagery via a multirotor, small unoccupied aircraft system deployed from the northern bank of Oh-be-joyful Creek and adjacent to the Peeler fault, approximately 6 kilometers northwest of the town of Crested B

Cian Dawson2021DOI: 10.5066/P931G95D
Dataset

Thermal infrared, multispectral, and photogrammetric data collected by drone for hydrogeologic analysis of the East River and Coal Creek beaver-impacted corridors near Crested Butte, Colorado

The U.S. Geological Survey collected low-altitude (typically 200-350 ft als) airborne thermal infrared, multispectral, and visual imagery data via a multirotor, small unoccupied aircraft system deployed along beaver-impacted sections of the East River and Coal Creek stream corridors, near the town o

Martin Briggs2021DOI: 10.5066/P9YWSJ2J
Dataset

Snowmelt Timing Maps Derived from MODIS for North America, Version 2, 2001-2018

This data set provides snowmelt timing maps (STMs), cloud interference maps, and a map with the count of calculated snowmelt timing values for North America. The STMs are based on the Moderate Resolution Imaging Spectroradiometer (MODIS) standard 8-day composite snow-cover product MOD10A2 collection

O'Leary III, D., Hall, D.K., Medler, M.2020DOI: 10.3334/ornldaac/1712
Dataset

Contiguous U.S. annual snow persistence and trends from 2001-2020

Snow persistence (SP) or the snow cover index (SCI), is the fraction of time that snow is present on the ground for a defined period. Cloud covered index (CCI) is the fraction of time that there is no data, cloud, or sensor saturation for the same period. SP and CCI were calculated on a pixel by pix

Hammond, John C2020DOI: 10.5066/p9u7u5fpCited 1 times
Dataset

Gap-filled water quality, Normalized Differenced Vegetation Index, total nitrogen (nitrate and ammonia) deposition, and land cover data trends for the Continental United States

The purpose of this work was to quantify trends in water quality, total nitrogen deposition, vegetation, and land-use trends for the Continental United States (CONUS). This dataset contains gap-filled daily and yearly in-stream carbon (C) and nitrogen (N) concentrations, discharge, and calculated ex

Newcomer, Michelle, Bouskill, Nick, Wainwright, Haruko2020DOI: 10.15485/1647366
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, SNOTEL sites and East River locations (Chen et al., 2020 in review). Fluxnet sites considered in this study

Jiancong Chen, Baptiste Dafflon, Anh Tran2020DOI: 10.15485/1633810
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, SNOTEL sites and East River locations (Chen et al., 2020 in review). Fluxnet sites considered in this study

Jiancong Chen, Baptiste Dafflon, Anh Tran2020DOI: 10.15485/1633810
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, SNOTEL sites and East River locations (Chen et al., 2020 in review). Fluxnet sites considered in this study

Jiancong Chen, Baptiste Dafflon, Anh Tran2020DOI: 10.15485/1633810
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, Snow Telemetry (SNOTEL) sites and East River Watershed in Colorado locations. Fluxnet sites considered in th

Jiancong Chen, Baptiste Dafflon, Anh Tran2020DOI: 10.15485/1633810
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, SNOTEL sites and East River locations (Chen et al., 2020 in review). Fluxnet sites considered in this study

Jiancong Chen2020DOI: 10.15485/1633810
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, Snow Telemetry (SNOTEL) sites and East River Watershed in Colorado locations. Fluxnet sites considered in th

Jiancong Chen, Baptiste Dafflon, Anh Tran2020DOI: 10.15485/1633810
Dataset

Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, Snow Telemetry (SNOTEL) sites and East River Watershed in Colorado locations. Fluxnet sites considered in th

Jiancong Chen, Baptiste Dafflon, Anh Tran2020DOI: 10.15485/1633810
Dataset

Quality-controlled Vegetation Canopy Height Model for the Upper East River Domain

This is a vegetation canopy height map from the 2018 NEON AOP dataset. It was derived from the NEON Lidar-based digital surface model and the re-processed SDP NEON DEM. Pixels with low NDVI or inside building footprints were set to a value of zero.

Ian Breckheimer2020
Dataset

Grand Mesa 2017-02-01 snow depth estimate

Elevation difference (snow depth estimate for exposed ground surfaces) between co-registered WorldView-3 optical stereo DSM products from 2016-09-25 (snow-off) and 2017-02-01 (snow-on). These are preliminary products from the Stereo2SWE workflow, used to derive snow depth estimates from time series

David Shean2019DOI: 10.5281/zenodo.3381653