A5050842469- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Forest ecology and management
- Species Distribution and Climate Change
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Forest Ecology and Biodiversity Studies
- Land Use and Ecosystem Services
- Ecology and Vegetation Dynamics Studies
- Wildlife Ecology and Conservation
- Rangeland and Wildlife Management
- 3D Surveying and Cultural Heritage
- Urban Heat Island Mitigation
- Forest Management and Policy
- Atmospheric and Environmental Gas Dynamics
- Tree-ring climate responses
- Forest Insect Ecology and Management
- Soil erosion and sediment transport
- Soil Geostatistics and Mapping
- Leaf Properties and Growth Measurement
- Cryospheric studies and observations
- Climate change and permafrost
- Remote-Sensing Image Classification
- Urban Green Space and Health
- Remote Sensing and Land Use
University of British Columbia
2016-2025
University of British Columbia Hospital
2015-2024
Okanagan University College
2020-2023
Murdoch University
2016
Université Laval
2014
Université du Québec à Montréal
2014
Government of British Columbia
2009-2010
University of Lethbridge
2010
University of Freiburg
2010
Oregon State University
2010
A global system of harmonized observations is needed to inform scientists and policy-makers.
Airborne laser scanning (ALS) is a remote sensing technology known for its applicability in natural resources management. By quantifying the three-dimensional structure of vegetation and underlying terrain using technology, ALS has been used extensively enhancing geospatial knowledge fields forestry ecology. Structural descriptions provide means estimating range ecologically pertinent attributes, such as height, volume, above-ground biomass. The efficient processing large, often technically...
Airborne and ground-based lidars are useful tools to probe the structure of forest canopies. Such information is not readily available from other remote sensing methods but essential for modern inventory in which growth models ecological assessment becoming increasingly important. This study was undertaken investigate capacity current airborne ranging systems provide data parameters can be derived. Additional collected included standard inventory, hemispherical photography, optical...
Free and open access to the more than 40 years of data captured in Landsat archive, combined with improvements standardized image products increasing computer processing storage capabilities, have enabled production large-area, cloud-free, surface reflectance pixel-based composites. Best-available-pixel (BAP) composites represent a new paradigm remote sensing that is no longer reliant on scene-based analysis. A time series these BAP affords novel opportunities generate information...
Abstract Characterization of ecosystem structure, diversity, and function is increasingly desired at finer spatial temporal scales than have been derived in the past. Many ecological applications require detailed data representing large extents, but these are often unavailable or impractical to gather using field-based techniques. Remote sensing offers an option for collecting that can represent broad extents with attribute characterizations. Remotely sensed also appropriate use studies...
Forest characterization with light detection and ranging (LiDAR) data has recently garnered much scientific operational attention. The number of forest inventory attributes that may be directly measured LiDAR is limited; however, when considered within the context all derived required to complete a inventory, can valuable tool in process. In this paper, we present status remote sensing forests, including issues related instrumentation, collection, processing, costs, attribute estimation....
Interest in knowing more about the Earth's land cover and how it has changed over time motivated mission sensor design of early terrestrial remote sensing systems. Rapid developments computer hardware software last four decades have greatly increased capacity for satellite data acquisition, downlink, dissemination, end user science applications. In 1992, Townshend reviewed state mapping using Earth observation at a pivotal point context years research practical experience with Landsat...
In the context of complex demands on forest resources and climate change, synoptic spatially-explicit baseline data characterizing national trends in disturbance subsequent return vegetation (and eventual to forest) are increasingly required. Time series analyses remotely sensed enable retrospective generation depicting both recovery, enabling a more holistic examination dynamics. this research, we utilize outputs Composite2Change, or C2C, algorithm that leverages extensive Landsat archive...
Ecological monitoring and management require detailed information over broad spatial scales. Historically, such was often acquired through manual interpretation of aerial photographs. As traditional methods analyzing photographs can he time-consuming, subjective, well-trained interpreters (who are currently in short supply), new approaches must be explored for collecting this ecological information. First, we discuss the benefits challenges using management. We then examine eight fundamental...
A best practices guide for the use of airborne laser scanning data (ALS; also referred to as Light Detection and Ranging or LiDAR) in forest inventory applications is now available download from Canadian Forest Service bookstore (White et al ., 2013; http://cfs.nrcan.gc.ca/publications?id= 34887 ). The guide, produced by Service, Natural Resources Canada, brings together state-of-the-art approaches, methods, enable readers interested using ALS characterize large areas a costeffective manner....
Airborne Laser Scanning (ALS), also known as Light Detection and Ranging (LiDAR) enables an accurate three-dimensional characterization of vertical forest structure. ALS has proven to be information-rich asset for managers, enabling the generation highly detailed bare earth digital elevation models (DEMs) well estimation a range inventory attributes (including height, basal area, volume). Recently, there been increasing interest in advanced processing high spatial resolution airborne imagery...
Passive optical remotely sensed images such as those from the Landsat satellites enable development of spatially comprehensive, well-calibrated reflectance measures that support large-area mapping. In recent years, an alternative to field plot data, use Light Detection and Ranging (lidar) acquisitions for calibration validation purposes in combination with satellite data model a range forest structural response variables has become well established. this research, we predictive modeling...