A5005278544- Cryospheric studies and observations
- Climate change and permafrost
- Landslides and related hazards
- Arctic and Antarctic ice dynamics
- Soil Moisture and Remote Sensing
- Winter Sports Injuries and Performance
- Fish Ecology and Management Studies
- Precipitation Measurement and Analysis
- Fire effects on ecosystems
- Meteorological Phenomena and Simulations
- Icing and De-icing Technologies
- Water Resources and Management
- Ionosphere and magnetosphere dynamics
- Marine and fisheries research
- Geophysics and Gravity Measurements
- Oil, Gas, and Environmental Issues
- Hydrocarbon exploration and reservoir analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Rangeland and Wildlife Management
- Genetic and phenotypic traits in livestock
- Signaling Pathways in Disease
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Mechanisms of cancer metastasis
Colorado State University
2019-2024
John Wiley & Sons (United States)
2019
Abstract Seasonal snow is an important component of Earth's hydrologic cycle and climate system, yet it remains challenging to consistently accurately measure depth water equivalent (SWE) across the range diverse snowpack conditions that exist on Earth. The NASA SnowEx campaign focused addressing primary gaps in remote sensing order gain improved spatiotemporal understanding this resource further efforts toward a future satellite‐based mission. Ground‐penetrating radar (GPR) efficient mature...
Snow depth can be mapped from airborne platforms and measured in situ rapidly, but manual snow density water equivalent (SWE) measurements are time consuming to obtain using traditional survey methods. As a result, the limited number of point observations likely insufficient capture true spatial complexity SWE many settings, highlighting value distributed observations. Here, we combine two-way travel repeat ground-penetrating radar (GPR) surveys along ∼150 m transect with estimates UAV-based...
Abstract Depth‐based and radar‐based remote sensing methods (e.g., lidar, synthetic aperture radar) are promising approaches for remotely measuring snow water equivalent (SWE) at high spatial resolution. These require density estimates, obtained from in‐situ measurements or models, to calculate SWE. However, operationally limited, few models have seen extensive evaluation. Here, we combine near‐coincident, lidar‐measured depths with ground‐penetrating radar (GPR) two‐way travel times ( twt )...
Extensive efforts have been made to observe the accumulation and melting of seasonal snow. However, making accurate observations snow water equivalent (SWE) at global scales is challenging. Active radar systems show promise, provided dielectric properties snowpack are accurately constrained. The constant (k) determines velocity a wave through snow, which critical component time-of-flight techniques such as ground penetrating interferometric synthetic aperture (InSAR). equations used estimate...
Abstract Wildfires are increasingly impacting high‐elevation forests in the western United States that accumulate seasonal snowpacks, presenting a major disturbance to critical water reservoir for region. In first winter following 2020 Cameron Peak wildfire Colorado, peak snow equivalent high burn severity forest was 17%–25% less than nearby unburned sites. The loss of canopy and lower surface albedo led an positive net shortwave radiation balance burned area, resulting melt rates were...
Satellite remote sensing of snow water equivalent (SWE) at high spatiotemporal resolutions remains an unsolved challenge in hydrology. While accurate and resolution measurements surface properties (e.g., cover, grain size, albedo) can be derived from multispectral hyperspectral data, these sensors cannot provide direct SWE information. Synthetic aperture radar (SAR) has the potential to measure directly because signal sufficiently low frequencies penetrate a dry snowpack. Depending on SAR...
Abstract. Snow provides critical water resources for billions of people, making the remote sensing snow equivalent (SWE) a highly prioritized endeavor, particularly given ongoing climate change impacts. Synthetic aperture radar (SAR) is promising method SWE because penetrates snow, and SAR interferometry (InSAR) can be used to estimate changes in (ΔSWE) between acquisitions. We calculated ΔSWE retrievals from 10 NASA L-band (1–2 GHz, ∼25 cm wavelength) uninhabited aerial vehicle (UAVSAR)...
Abstract. Snow provides critical water resources for billions of people, making the remote sensing snow equivalent (SWE) a highly prioritized endeavor, particularly given current and projected climate change impacts. Synthetic Aperture Radar (SAR) is promising method SWE because radar penetrates SAR interferometry (InSAR) can be used to estimate changes in (ΔSWE) between acquisitions. We calculated ΔSWE retrievals from 10 NASA L-band Uninhabited Aerial Vehicle (UAVSAR) acquisitions northern...
Radar instruments have been widely used to measure snow water equivalent (SWE) and Interferometric Synthetic Aperture is a promising approach for doing so from spaceborne platforms. Electromagnetic waves propagate through the snowpack at velocity determined by its dielectric permittivity. Velocity estimates are significant source of uncertainty in radar SWE retrievals, especially wet snow. In dry snow, can be calculated relations between permittivity density. However, function both density...
Abstract. Spaceborne remote sensing of snow currently enables landscape-scale covered area, but estimating mass in the mountains remains a major challenge from space. Airborne LiDAR can retrieve depth, and some promising results have recently been shown spaceborne platforms, yet density estimates are required to convert depth water equivalent (SWE). However, retrieval bulk unsolved, limited data is available evaluate model mountainous terrain. Knowledge spatial patterns predictors critical...
Synthetic aperture radar will be at the forefront of future advancements in global remote sensing snow depth and water equivalent. Recently, retrievals using an empirical volume scattering approach with C-band Sentinel-1 (S1) data have been demonstrated over European Alps Northern Hemisphere, most accurate results obtained regions dry, deep (>1.5 m) snowpacks little vegetation influence. However, these S1-based previously compared only to point-based measurements or modeled products. In...
Abstract. Estimating snow mass in the mountains remains a major challenge for remote-sensing methods. Airborne lidar can retrieve depth, and some promising results have recently been obtained from spaceborne platforms, yet density estimates are required to convert depth water equivalent (SWE). However, retrieval of bulk unsolved, limited data available evaluate model mountainous terrain. Toward goal landscape-scale retrievals density, we estimated length-scale variability by combining...
Abstract There is a pressing need for global monitoring of snow water equivalent (SWE) at high spatiotemporal resolution, and L‐band (1–2 GHz) interferometric synthetic aperture radar (InSAR) holds promise. However, the technique has not seen extensive evaluation in forests. We evaluated this across varying forest canopy conditions using eight InSAR pairs collected Fraser Experimental Forest, Colorado, USA by NASA UAVSAR during 10‐week SnowEx 2021 Campaign. Compared with situ measurements,...
Extensive efforts are made to observe the accumulation and melting of seasonal snow. However, making accurate observations snow water equivalent (SWE) at global scale remains elusive. Active radar systems show promise, provided dielectric properties snowpack accurately understood. The relative permittivity (k) determines velocity wave through Equations used estimate k have been validated only for specific conditions with limited in situ validation applications. goal this work is further...