Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Identifying and characterizing vascular plants in time and space is required in various
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
disciplines, eg in forestry, conservation and agriculture. Remote sensing emerged as a key …
[HTML][HTML] Remote sensing methods for power line corridor surveys
To secure uninterrupted distribution of electricity, effective monitoring and maintenance of
power lines are needed. This literature review article aims to give a wide overview of the …
power lines are needed. This literature review article aims to give a wide overview of the …
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
The use of unmanned aerial vehicles (UAVs) in vegetation remote sensing allows a time-
flexible and cost-effective acquisition of very high-resolution imagery. Still, current methods …
flexible and cost-effective acquisition of very high-resolution imagery. Still, current methods …
Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
Recent technological advances in remote sensing sensors and platforms, such as high-
resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of …
resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of …
Comparison of backpack, handheld, under-canopy UAV, and above-canopy UAV laser scanning for field reference data collection in boreal forests
In this work, we compared six emerging mobile laser scanning (MLS) technologies for field
reference data collection at the individual tree level in boreal forest conditions. The systems …
reference data collection at the individual tree level in boreal forest conditions. The systems …
UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data
Invasive plant species can pose major threats to biodiversity, ecosystem functioning and
services. Satellite based remote sensing has evolved as an important technology to spatially …
services. Satellite based remote sensing has evolved as an important technology to spatially …
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Abstract Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high
resolution remote sensing data for assessing the spatial distribution of species composition …
resolution remote sensing data for assessing the spatial distribution of species composition …
Comparison of the selected state-of-the-art 3D indoor scanning and point cloud generation methods
Accurate three-dimensional (3D) data from indoor spaces are of high importance for various
applications in construction, indoor navigation and real estate management. Mobile …
applications in construction, indoor navigation and real estate management. Mobile …
Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions
Remote sensing-based forest investigation and monitoring have become more affordable
and applicable in the past few decades. The current bottleneck limiting practical use of the …
and applicable in the past few decades. The current bottleneck limiting practical use of the …
[HTML][HTML] Accurate derivation of stem curve and volume using backpack mobile laser scanning
Forest inventories rely on field plots, the measurement of which is costly and time consuming
by manual means. Thus, there is a need to automate plot-level field data collection. Mobile …
by manual means. Thus, there is a need to automate plot-level field data collection. Mobile …