UAV-based forest health monitoring: A systematic review
In recent years, technological advances have led to the increasing use of unmanned aerial
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
vehicles (UAVs) for forestry applications. One emerging field for drone application is forest …
An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Transfer learning in environmental remote sensing
Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …
[HTML][HTML] Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
Leaf area index (LAI) is a key parameter of vegetation structure in the fields of agriculture,
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …
forestry, and ecology. Optical indirect methods based on the Beer-Lambert law are widely …
Remote sensing of forest insect disturbances: Current state and future directions
Insect disturbance are important agents of change in forest ecosystems around the globe,
yet their spatial and temporal distribution and dynamics are not well understood. Remote …
yet their spatial and temporal distribution and dynamics are not well understood. Remote …
Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield,
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models …
Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data
This study proposed modifying the conceptual approach that is commonly used to model
development of stand attribute estimates using airborne LiDAR data. New models were …
development of stand attribute estimates using airborne LiDAR data. New models were …
Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors
The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable
component of process-based ecological research facilitating the understanding of gas …
component of process-based ecological research facilitating the understanding of gas …
Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index
L Korhonen, I Korpela, J Heiskanen… - Remote Sensing of …, 2011 - Elsevier
Remote sensing of forest canopy cover has been widely studied recently, but little attention
has been paid to the quality of field validation data. Ecological literature has two different …
has been paid to the quality of field validation data. Ecological literature has two different …
Mini-UAV-borne LIDAR for fine-scale mapping
Light detection and ranging (LIDAR) systems based on unmanned aerial vehicles (UAVs)
recently are in rapid advancement, while mini-UAV-borne laser scanning has few reported …
recently are in rapid advancement, while mini-UAV-borne laser scanning has few reported …