A5101686144- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Forest ecology and management
- Tree Root and Stability Studies
- Species Distribution and Climate Change
- Soil Geostatistics and Mapping
- Climate change and permafrost
- Ecology and Vegetation Dynamics Studies
- Stellar, planetary, and galactic studies
- Plant Water Relations and Carbon Dynamics
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Arctic and Antarctic ice dynamics
- Remote-Sensing Image Classification
- Soil erosion and sediment transport
- Rangeland and Wildlife Management
- Leaf Properties and Growth Measurement
- Forest Ecology and Biodiversity Studies
- Methane Hydrates and Related Phenomena
- Precipitation Measurement and Analysis
- Remote Sensing and Land Use
- Tree-ring climate responses
- Cryospheric studies and observations
- Photovoltaic System Optimization Techniques
- Soil Moisture and Remote Sensing
Carleton University
2014-2025
University of Cambridge
2013-2020
Karolinska Institutet
2011
Sandia National Laboratories
2002-2006
Australian National University
1998-2001
Ontario Forest Research Institute
2001
Queen's University
1997
Toronto Metropolitan University
1991
Mount Stromlo Observatory
1988
Royal Observatory in Greenwich
1978
Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all scales from local to global. In rapidly changing environments, in-situ terrestrial FES monitoring approaches have made tremendous progress but they are intensive often integrate subjective indicators for health (FH). Remote sensing (RS) bridges the gaps these limitations, by FH on different spatio-temporal scales, in a cost-effective, rapid, repetitive objective manner. this paper, we provide an...
Land use/land cover (LULC) change occurs when humans alter the landscape, and this leads to increasing loss, fragmentation spatial simplification of habitat. Many fields study require monitoring LULC at a variety scales. assessment is dependent upon high-quality input data, most often from remote sensing-derived products such as thematic maps. This research compares pixel- object-based classifications Landsat Thematic Mapper (TM) data for mapping analysis in mixed land use region eastern...
We obtained spectra in the wavelength range λ = 995–1769 nm of all four known planets orbiting star HR 8799. Using suite instrumentation as Project 1640 on Palomar 5 m Hale Telescope, we acquired data at two epochs. This allowed for multiple imaging detections companions and extractions low-resolution (R ∼ 35) spectra. Data reduction employed different methods speckle suppression spectrum extraction, both yielding results that agree. The do not directly correspond to those any objects,...
Stress in forest ecosystems (FES) occurs as a result of land-use intensification, disturbances, resource limitations or unsustainable management, causing changes health (FH) at various scales from the local to global scale. Reactions such stress depend on phylogeny species communities and characteristics their impacting drivers processes. There are many approaches monitor indicators FH using in-situ inventory experimental studies, but they generally limited sample points small areas, well...
We present an analysis of the orbital motion four sub-stellar objects orbiting HR8799. Our study relies on published astrometric history this system augmented with epoch obtained Project 1640 coronagraph + Integral Field Spectrograph (IFS) installed at Palomar Hale telescope. first focus intricacies associated estimation using combination Extreme Adaptive Optics (PALM-3000), a and IFS. introduce two new algorithms. The one retrieves stellar focal plane position when star is occulted by...
Abstract The extent of near‐surface permafrost, or perennially frozen ground within 3 m the surface, was estimated for Mackenzie River delta by determining its association with riparian vegetation communities in field, and subsequently mapping these using SPOT‐5 data supervised maximum‐likelihood classification technique. Near‐surface permafrost absent beneath willow–horsetail ( Salix‐Equisetum ) on point bars alluvial islands throughout horsetail Equisetum southern central delta. found all...
The Dabus Wetland complex in the highlands of Ethiopia is within headwaters Nile Basin and home to significant ecological communities rare or endangered species. Its many interrelated wetland types undergo seasonal longer-term changes due weather climate variations as well anthropogenic land use such grazing burning. Mapping monitoring these wetlands has not been previously undertaken primarily their relative isolation lack resources. This study investigated potential remote sensing based...
An algorithm is presented for automated detectiondelineation of coniferous tree regeneration that combines strategies several existing algorithms, including image processing to isolate conifer crowns, optimal scale determination, initial crown detection, and boundary segmentation refinement. The evaluated using 6-cm pixel airborne imagery in operational conditions typically encountered the boreal forest 510 years after harvest. Detection omission commission errors as well an accuracy index...
AbstractAutomated tree detection provides a means to acquire information on abundance and spatial distribution, both of which are critical for evaluating the status regenerating forests. It is also often precursor automated delineation, typically utilizes image data surrounding detected crown point. However, obtaining consistently accurate results has proven difficult owing errors associated with scale. In this paper, four approaches that reduce scale dependence evaluated, including (1)...
Optical and radar imagery has been shown to be useful for classifying wetland types surrounding non-wetland classes such as forest agriculture. Throughout the literature, recommendations have made that optical image variables together should improve overall individual class accuracies. object-based analysis (OBIA) uses multiple data segment objects representing land cover entities are subsequently classified. There few studies utilized polarimetric in OBIA map classes. This research...
Abstract: High spatial resolution hyperspectral data often used in precision farming applications are not available from current satellite sensors, and difficult or expensive to acquire standard aircraft. Alternatively, farming, unmanned aerial vehicles (UAVs) emerging as lower cost more flexible means very high imagery. Miniaturized sensors have been developed for UAVs, but the associated hardware, processing software still prohibitive use by individual farmers small remote sensing firms....