91 results — topic: remote sensing

Dataset

Maximum 2m Air Temperature Daily Timeseries

These are maps of daily maximum air temperature for the Upper Gunnison domain measured in degrees C. Estimates were derived from weather station and microclimate sensor data using Bayesian regression-kriging, incorporating topographic and vegetation structure covariates. To reduce storage space, ori

Ian Breckheimer2023
Dataset

Snowpack Duration Yearly Timeseries

These maps represent annual estimates of the number of days of continuous seasonal snowpack from 1993 - 2022. The maps are derived from estimates of the first and last day of bare ground derived from long-term time-series of Landsat, and OLI imagery starting in 1993. Annual estimates represent the n

Ian Breckheimer2023
Dataset

Snowpack Onset Day of Year Yearly Timeseries

This dataset represents an estimate of the day of year (i.e. , "Julian Day") of the onset of the seasonal snowpack. Specifically these are estimates of the last day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993. To facilitate computation of sn

Ian Breckheimer2023
Dataset

Snowpack Persistence Day of Year Yearly Timeseries

This dataset represents an estimate of the day of year (i.e. , "Julian Day") of the persistence of the seasonal snowpack. Specifically these are estimates of the first day of bare ground derived from long-term time-series of Landsat TM, ETM, and OLI imagery starting in 1993. These maps combine month

Ian Breckheimer2023
Dataset

Floodplain hydrostratigraphy from sedimentology, geophysics, and remote sensing

This file includes the data published in: Malenda, H.F., Sutfin, N.A., Stauffer, S., Guryan. G., Rowland, J.C., Williams, K.H., and Singha, K. (2019). From Grain to Floodplain: Evaluating heterogeneity of floodplain hydrostatigraphy using sedimentology, geophysics, and remote sensing. Earth Surface

Malenda, H, Singha, K, Randall, J2022DOI: 10.4211/hs.394a6900a0bd4911b642f9ba94046780Cited 1 times
Dataset

Plant species distribution within the Upper Colorado River Basin estimated by using hyperspectral and LiDAR airborne data.

This package is part of the Watershed Function SFA project and contains a remote sensing dataset acquired at the East River, Colorado. The remote sensing dataset is composed of vegetation maps computed from hyperspectral and LiDAR airborne data acquired by the NEON team in June 2018. The maps show t

Falco N, Balde A, Breckheimer I2021DOI: 10.15485/1602034Cited 3 times
Dataset

Locations, metadata, and species cover from field sampling survey associated with NEON AOP survey, East River, CO 2018.

Locations and descriptions of the sites where field sampling was conducted during the 2018 National Ecological Observatory Network (NEON) Airborne Observation Platform (AOP) imaging spectroscopy and lidar surveys in Gunnison County, Colorado. The sampling sites were located across East River, Washin

Chadwick K D, Grant K, Henderson A2021DOI: 10.15485/1618130
Dataset

NEON AOP Imaging Spectroscopy Survey of Upper East River Colorado Watersheds: Raw-Space Radiance and Observational Variable Dataset.

Lawrence Berkeley National Laboratory (LBNL) contracted the National Ecological Observatory Network Airborne Observation Platform (NEON AOP) to observe watersheds of interest near Crested Butte, CO with remotely sensed data including imaging spectroscopy. The flight box design encompassed the waters

Goulden T, Hulslander D, Hass B2021DOI: 10.15485/1617204
Dataset

Custom NEON AOP reflectance mosaics and maps of shade masks, canopy water content.

This mosaic of visible to shortwave infrared (VSWIR) data was derived from the assignable asset NEON AOP radiance data that was collected by LBNL s Watershed Function SFA during the summer of 2018 (DOI: 10.15485/1617204). This atmospheric correction was completed to take into account site-specific t

Philip Brodrick, Tristan Goulden, K. Dana Chadwick2021DOI: 10.15485/1618131
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