A5010694911- Remote Sensing and LiDAR Applications
- Rangeland and Wildlife Management
- Fire effects on ecosystems
- Remote Sensing in Agriculture
- Cryospheric studies and observations
- Species Distribution and Climate Change
- Landslides and related hazards
- 3D Surveying and Cultural Heritage
- Atmospheric and Environmental Gas Dynamics
- Ecology and Vegetation Dynamics Studies
- Aeolian processes and effects
- Hydrology and Watershed Management Studies
- Forest ecology and management
- Soil erosion and sediment transport
- Wildlife-Road Interactions and Conservation
- Plant Water Relations and Carbon Dynamics
- Geochemistry and Geologic Mapping
- Climate change and permafrost
- Hydrology and Sediment Transport Processes
- Mineral Processing and Grinding
- Remote Sensing and Land Use
- Remote-Sensing Image Classification
- Soil Geostatistics and Mapping
- Spectroscopy and Chemometric Analyses
- Wildlife Ecology and Conservation
Boise State University
2016-2025
Ecological Society of America
2018-2023
Purdue University West Lafayette
2023
UNSW Sydney
2020-2021
John Wiley & Sons (United States)
2018-2020
Rocky Mountain Research (United States)
2018
Rocky Mountain Research Station
2018
Idaho State University
2005-2017
Washington State University
2014
University of Idaho
2014
The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing Planet, recommended Surface Biology and Geology (SBG) as a "Designated Targeted Observable" (DO). SBG DO is based the need for capabilities to acquire global, high spatial resolution, visible shortwave infrared (VSWIR; 380–2500 nm; ~30 m pixel resolution) hyperspectral (imaging spectroscopy) multispectral midwave thermal (MWIR: 3–5 μm; TIR: 8–12 ~60 measurements with sub-monthly temporal revisits over terrestrial,...
In the summer of 2010, an Unmanned Aerial Vehicle (UAV) hyperspectral calibration and characterization experiment Resonon PIKA II imaging spectrometer was conducted at US Department Energy’s Idaho National Laboratory (INL) UAV Research Park. The purpose to validate radiometric determine georegistration accuracy achievable from on-board global positioning system (GPS) inertial navigation sensors (INS) under operational conditions. order for low-cost systems compete with larger flown on manned...
Abstract NASA's 2017 SnowEx field campaign at Grand Mesa, CO, generated Airborne Laser Scans (ALS), Terrestrial (TLS), and snow‐probe transects, which allowed for a comparison between snow depth measurement techniques. At six locations, comparisons gridded ALS TLS observations, 1‐m resolution, had median difference of 5 cm, root‐mean‐square 16 mean‐absolute 10 3‐cm in standard deviation. generally greater but similar values to TLS, results were not sensitive the cell size 0.5 m. The greatest...
Observations of planet Earth from space are a critical resource for science and society. Satellite measurements represent very large investments United States (US) agencies organize their effort to maximize the return on that investment. The US National Research Council conducts survey applications prioritize observations coming decade. most recent prioritized visible shortwave infrared imaging spectrometer multispectral thermal imager meet range needs studying Surface Biology Geology (SBG)....
The applicability of high spatial resolution hyperspectral data and small-footprint Light Detection Ranging (lidar) to map describe sagebrush in a semi-arid shrub steppe rangeland is demonstrated. Hyperspectral processing utilized spectral subset (605 nm 984 nm) the reflectance classify presence an overall accuracy 74 percent. With inclusion co-registered lidar data, this increased 89 Furthermore, were generate stand specific descriptive information areas absence. methods results study lay...
Abstract In mountains with seasonal snow cover, the effects of climate change on snowpack will be constrained by landscape‐vegetation interactions atmosphere. Airborne lidar surveys used to estimate depth, topography, and vegetation were coupled reanalysis products quantify these highlight potential sensitivities across western U.S. at Rocky Mountain (RM), Northern Basin Range (NBR), Sierra Nevada (SNV) sites. forest shrub areas, elevation captured greatest amount variability in depth...
Our study objectives were to model the aboveground biomass in a xeric shrub-steppe landscape with airborne light detection and ranging (Lidar) explore uncertainty associated models we created. We incorporated vegetation vertical structure information obtained from Lidar ground-measured data, allowing us scale shrub small field sites (1 m subplots 1 ha plots) larger landscape. A series of Lidar-derived metrics trained linked field-measured Random Forests (RF) regression models. Stepwise...
Abstract. Understanding the impact of tree structure on snow depth and extent is important in order to make predictions amounts how changes forest cover may affect future water resources. In this work, we investigate under canopies open areas quantify role controlling depth, as well controls from wind topography. We use fine-scale terrestrial laser scanning (TLS) data collected across Grand Mesa, Colorado, USA (winter 2016–2017), measure extract horizontal vertical descriptors (metrics) at...
Geotechnical characterisation of spoil piles has traditionally relied on the expertise field specialists, which can be both hazardous and time-consuming. Although unmanned aerial vehicles (UAV) show promise as a remote sensing tool in various applications; accurately segmenting classifying very high-resolution images heterogeneous terrains, such mining with irregular morphologies, presents significant challenges. The proposed method adopts robust approach that combines morphology-based...
This study analysed the errors associated with vegetation cover type and slope in a Light Detection Ranging (LiDAR) derived digital elevation model (DEM) semiarid environment southwest Idaho, USA. Reference data were collected over range of types slopes. compared to bare-ground raster values root mean square error (RMSE) signed (MSE) used quantify errors. Results indicate that have statistically significant effects on accuracy LiDAR-derived bare-earth DEM. RMSE MSE ranged from 0.072 0.220 m...