Framework for near real-time forest inventory using multi source remote sensing data
Forestry inventory update is a critical component of sustainable forest management,
requiring both the spatially explicit identification of forest cover change and integration of …
requiring both the spatially explicit identification of forest cover change and integration of …
Exploring the Role of ICTs and Communication Flows in the Forest Sector
The forestry sector has used technology to improve productivity and increase service quality,
reducing labor in many processes. In this sense, Information and Communication …
reducing labor in many processes. In this sense, Information and Communication …
Harmonizing multi-temporal airborne laser scanning point clouds to derive periodic annual height increments in temperate mixedwood forests
When combining multi-temporal airborne laser scanning (ALS) data sets, forest height
growth assessments can be compromised due to variations in ALS acquisitions. Herein, we …
growth assessments can be compromised due to variations in ALS acquisitions. Herein, we …
[HTML][HTML] Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data
The northern forest-tundra ecotone is one of the fastest warming regions of the globe.
Models of vegetation change generally predict a northward advance of boreal forests and …
Models of vegetation change generally predict a northward advance of boreal forests and …
[HTML][HTML] Laserfarm–a high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds
Quantifying ecosystem structure is of key importance for ecology, conservation, restoration,
and biodiversity monitoring because the diversity, geographic distribution and abundance of …
and biodiversity monitoring because the diversity, geographic distribution and abundance of …
Estimating tree species composition from airborne laser scanning data using point-based deep learning models
Airborne laser scanning (ALS) data is increasingly being used for accurate estimations of
forest inventory attributes, such as tree height and volume. However, determining tree …
forest inventory attributes, such as tree height and volume. However, determining tree …
Towards sustainable forestry: Using a spatial Bayesian belief network to quantify trade-offs among forest-related ecosystem services
Assessing trade-offs among ecosystem services (ESs) that are provided by forests is
necessary to support decision-making and to minimize negative effects of timber harvesting …
necessary to support decision-making and to minimize negative effects of timber harvesting …
Accuracy of a lidar-based individual tree detection and attribute measurement algorithm developed to inform forest products supply chain and resource management
Individual Tree Detection (ITD) algorithms that use Airborne Laser Scanning (ALS) data can
provide accurate tree locations and measurements of tree-level attributes that are required …
provide accurate tree locations and measurements of tree-level attributes that are required …
[HTML][HTML] “Old” is not precise enough: Airborne laser scanning reveals age-related structural diversity within old-growth forests
Old-growth forests of different ages provide specific structures, habitats and ecosystem
services. Methods to distinguish this internal diversity are still rare, especially in boreal …
services. Methods to distinguish this internal diversity are still rare, especially in boreal …
Canadian HEIs' contribution to the SDGs: what do the times higher education impact rankings unveil?
E Ordonez-Ponce, A Khare, K Khare - International Journal of …, 2024 - emerald.com
Purpose This study aims to assess the performance of Canadian higher educational
institutions (HEIs) on the sustainable development goals (SDGs) from 2019 to 2023 …
institutions (HEIs) on the sustainable development goals (SDGs) from 2019 to 2023 …