A5077764827- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Forest ecology and management
- Fire effects on ecosystems
- Forest Ecology and Biodiversity Studies
- Land Use and Ecosystem Services
- Forest Insect Ecology and Management
- Forest Management and Policy
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Ecology and Vegetation Dynamics Studies
- Soil erosion and sediment transport
- Plant Water Relations and Carbon Dynamics
- 3D Surveying and Cultural Heritage
- Atmospheric and Environmental Gas Dynamics
- Rangeland and Wildlife Management
- Geology and Paleoclimatology Research
- Satellite Image Processing and Photogrammetry
- Hydrology and Sediment Transport Processes
- Cryospheric studies and observations
- Advanced Image Fusion Techniques
- Climate change and permafrost
- Landslides and related hazards
- Remote Sensing and Land Use
Natural Resources Canada
2016-2025
Canadian Forest Service
2016-2025
Wested
2024
University of Saint Joseph
2024
Government of Canada
2023
Finnish Geospatial Research Institute
2020
University of Helsinki
2018-2020
Helsinki Art Museum
2020
University of Eastern Finland
2019
University of British Columbia
2008-2009
Formal planning and development of what became the first Landsat satellite commenced over 50 years ago in 1967. Now, having collected earth observation data for well four decades since 1972 launch Landsat-1, program is increasingly complex vibrant. Critical programmatic elements are ensuring continuity high quality measurements scientific operational investigations, including ground systems, acquisition planning, archiving management, provision analysis ready products. Free open access to...
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...
Since 1972, the Landsat program has been continually monitoring Earth, to now provide 50 years of digital, multispectral, medium spatial resolution observations. Over this time, data were crucial for many scientific and technical advances. Prior program, detailed, synoptic depictions Earth's surface rare, ability acquire work with large datasets was limited. The early delivered a series technological breakthroughs, pioneering new methods, demonstrating capacity digital satellite imagery,...
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...
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...
Free and open access to the Landsat archive has enabled implementation of national global terrestrial monitoring projects. Herein, we summarize a project characterizing change history Canada's forested ecosystems with time series data representing 1984–2012. Using Composite2Change approach, applied spectral trend analysis annual best-available-pixel (BAP) surface reflectance image composites produced from TM ETM+ imagery. A total 73,544 images were used produce 29 composites, generating ∼400...
Land cover classification of large geographic areas over multiple decades at an annual time step is now possible based upon free and open access to the Landsat data archive. Annual gap-free, best-available-pixel, surface reflectance, image composites forest change maps have been generated for Canada years 1984 2012. Using these data, we demonstrate Virtual Cover Engine (VLCE), a framework change-informed land mapping, 650 million ha forested ecosystems Canada, produce 29-year cube cover....
Free and open access to satellite imagery value-added data products have revolutionized the role of remote sensing in Earth system science. Nonetheless, rapid changes global environment pose challenges science community that are increasingly difficult address using from single sensors or platforms due underlying limitations availability tradeoffs govern design implementation currently existing sensors. Virtual constellations planned may help overcome this limitation by combining observations...
The recovery of forests following stand-replacing disturbance is widespread interest; however, there both a lack definitional clarity for the term "recovery" and dearth empirical data on rates forest associated with different types. We conducted quantitative review literature to determine times wildfire timber harvest evaluate variation in across Canada's diverse ecosystems. Recovery was assessed according rate change certain structural attributes that have traditionally been used as...