A5055263281- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Forest ecology and management
- Fire effects on ecosystems
- Landslides and related hazards
- Hydrology and Watershed Management Studies
- Soil erosion and sediment transport
- Plant Water Relations and Carbon Dynamics
- Rangeland and Wildlife Management
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Geotechnical Engineering and Analysis
- Geographic Information Systems Studies
- Geochemistry and Geologic Mapping
- Climate change impacts on agriculture
- Leaf Properties and Growth Measurement
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
- Forest Ecology and Biodiversity Studies
- Remote-Sensing Image Classification
- Soil and Water Nutrient Dynamics
- Soil Carbon and Nitrogen Dynamics
- Research Data Management Practices
- 3D Surveying and Cultural Heritage
University of Idaho
2012-2023
Commonwealth Scientific and Industrial Research Organisation
1993-2013
Australian National University
1994-2013
Montana State University
2011
Michigan Technological University
2010
Rocky Mountain Research Station
2006-2010
US Forest Service
2010
Rocky Mountain Research (United States)
2006-2010
San Diego State University
2006
University of Wisconsin–Madison
1989-1990
This study is based on the hypothesis that catenary soil development occurs in many landscapes response to way water moves through and over landscape. Furthermore, terrain attributes can characterize these flow paths and, therefore, attributes. Significant correlations between quantified measured were found a 5.4-ha toposequence Colorado. Slope wetness index most highly correlated with surface at 231 locations 15.24-m grid. Individually, they accounted for about one-half of variability A...
Space and airborne sensors have been used to map area burned, assess characteristics of active fires, characterize post-fire ecological effects. Confusion about fire intensity, severity, burn related terms can result in the potential misuse inferred information by land managers remote sensing practitioners who require unambiguous products for management. The objective present paper is provide a comprehensive review current methods behavior effects responses fire. We clarify terminology...
Abstract Explicit and quantitative models for the spatial prediction of soil landscape attributes are required environmental modelling management. In this study, advances in representation hydrological geomorphological processes using terrain analysis techniques integrated with development a field sampling soil-landscape model building strategy. Statistical developed relationships between (plan curvature, compound topographic index, upslope mean plan curvature) (A horizon depth, Solum E...
Soil–landscape patterns result from the integration of short‐ and long‐term pedogeomorphic processes. A 2‐ha hillslope catena in California shows short‐distance variation horizon depth 8 to 80 cm soil >450 convex concave positions. Similar variations net primary productivity (NPP) C represent significant information often not captured by survey maps. Strong correlations between these measured soil–landscape variables explanatory digital terrain attributes are used develop quantitative...
An empirical modeling of road related and non-road landslide hazard for a large geographical area using logistic regression in tandem with signal detection theory is presented. This was developed geographic information system (GIS) remote sensing data, implemented on the Clearwater National Forest central Idaho. The approach based explicit quantitative environmental correlations between observed occurrences, climate, parent material, attributes while receiver operating characteristic (ROC)...
AbstractWe describe and evaluate a new analysis technique, spatial wavelet (SWA), to automatically estimate the location, height, crown diameter of individual trees within mixed conifer open canopy stands from light detection ranging (lidar) data. Two-dimensional Mexican hat wavelets, over range likely tree diameters, were convolved with lidar height models. Identification local maxima resultant transformation image then allowed determination diameters trees. In this analysis, which focused...
AbstractWe compared the utility of discrete-return light detection and ranging (lidar) data multispectral satellite imagery, their integration, for modeling mapping basal area tree density across two diverse coniferous forest landscapes in north-central Idaho. We applied multiple linear regression models subset from a suite 26 predictor variables derived lidar (2 m post spacing), advanced land imager (ALI) (30 m) panchromatic (10 data, or geographic X, Y, Z location. In general,...
This study assessed whether vegetation indices derived from broadband RapidEye™ data containing the red edge region (690–730 nm) equal those computed narrow band in predicting nitrogen (N) status of spring wheat (Triticum aestivum L.). Various single and combined were in‐situ spectroradiometer simulated data. A new, index Modified Chlorophyll Absorption Ratio Index (MCARI) second Triangular Vegetation (MTVI2) ratio obtained best regression relationships with chlorophyll meter values (Minolta...
Spectral indices are useful for estimating crop yield potential and basing in‐season N fertilizer applications. The normalized difference vegetation index (NDVI) is positively related to status leaf area (LAI) under limited conditions. However, water conditions, variations in LAI may be driven by soil moisture rather than plant‐available N, which will confound spectral estimates of status. This study evaluated the performance ground sensing chlorophyll a+b content (C ab ) dryland wheat (...
AbstractIndividual tree detection algorithms can provide accurate measurements of individual locations, crown diameters (from aerial photography and light ranging (lidar) data), heights lidar data). However, to be useful for forest management goals relating timber harvest, carbon accounting, ecological processes, there is a need assess the performance these image-based across full range canopy structure conditions. We evaluated two fundamentally different automated measurement (spatial...
Sustainable forest management requires timely, detailed inventory data across large areas, which is difficult to obtain via traditional techniques. This study evaluated k-nearest neighbor imputation models incorporating LiDAR predict tree-level (individual tree height, diameter at breast and species) a 12 100 ha area in northeastern Oregon, USA. The primary objective was provide spatially explicit parameterize the Forest Vegetation Simulator, growth model. final model utilized LiDAR-derived...
Estimating the extent of tropical rainforest types is needed for biodiversity assessment and carbon accounting. In this study, we used statistical comparisons to determine ability Landsat Thematic Mapper (TM) bands spectral vegetation indices discriminate composition structural types. A total 144 old-growth forest plots established in northern Costa Rica were categorized via cluster analysis ordination. Locations palm swamps, regrowth tree plantations also acquired, making 11 separability...
Forecasting the risk of pathogen spillover from reservoir populations wild or domestic animals is essential for effective deployment interventions such as wildlife vaccination culling. Due to sporadic nature events and limited availability data, developing validating robust, spatially explicit, predictions challenging. Recent efforts have begun make progress in this direction by capitalizing on machine learning methodologies. An important weakness existing approaches, however, that they...
We evaluated the potential of two novel thermally enhanced Landsat Thematic Mapper (TM)‐derived spectral indices for discriminating burned areas and producing fire perimeter data (as a surrogate to digital atlas data) within wildland fires (1985 1993) in ponderosa pine (Pinus ponderosa) forests Gila Wilderness, New Mexico, USA. Image‐derived perimeters (manually produced classified from an index image) were compared recorded digitized atlas. For each fire, highest separability was achieved...