[HTML][HTML] UAV-embedded sensors and deep learning for pathology identification in building façades: A review
The use of geotechnologies in the field of diagnostic engineering has become ever more
present in the identification of pathological manifestations in buildings. The implementation …
present in the identification of pathological manifestations in buildings. The implementation …
[HTML][HTML] Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns
Northern peatland vegetation exhibits fine-scale spatial and spectral heterogeneity that can
potentially be captured with uncrewed aerial vehicle (UAV) data due to their ultra-high …
potentially be captured with uncrewed aerial vehicle (UAV) data due to their ultra-high …
[HTML][HTML] Monitoring changes in boreal peatland vegetation after restoration with optical satellite imagery
Restoration can initiate a succession of plant communities towards those of pristine
peatlands. Field inventory-based vegetation monitoring is labour-intensive and not feasible …
peatlands. Field inventory-based vegetation monitoring is labour-intensive and not feasible …
[HTML][HTML] UAV and field hyperspectral imaging for Sphagnum discrimination and vegetation modelling in Finnish aapa mires
Detailed knowledge of vegetation patterns allows to evaluate mire ecosystems and their
dynamics. The use of hyperspectral information has the benefits of exploring spectral …
dynamics. The use of hyperspectral information has the benefits of exploring spectral …
End-to-End Deep Learning Models for Gap Identification in Maize Fields
R Waqar, Ž Grbović, M Khan… - Proceedings of the …, 2024 - openaccess.thecvf.com
We propose an approach to jointly count plants and detect gaps in maize fields using end-to-
end deep-learning models. Unlike previous efforts that focused solely on plant detection our …
end deep-learning models. Unlike previous efforts that focused solely on plant detection our …
Multi-resolution remote sensing for flark area detection in boreal aapa mires
Peatlands have suffered significant degradation globally due to human impacts, which has
increased the need to monitor the condition and changes in peatland ecosystems. With …
increased the need to monitor the condition and changes in peatland ecosystems. With …
Remote sensing of biogeophysical variables at the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut, Canada
The Cape Bounty Arctic Watershed Observatory (CBAWO), Melville Island, Nunavut (74°
55′ N, 109° 34′ W) was established in 2003 to examine Arctic ecosystem processes that …
55′ N, 109° 34′ W) was established in 2003 to examine Arctic ecosystem processes that …
[HTML][HTML] Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models
Crop monitoring with unmanned aerial vehicles (UAVs) has the potential to reduce field
monitoring costs while increasing monitoring frequency and improving efficiency. However …
monitoring costs while increasing monitoring frequency and improving efficiency. However …
Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings
R Hakamada, J Prados-Coronado, C Lages, A Vrechi… - Remote Sensing, 2023 - mdpi.com
At present, there is a high demand for carbon (C) sequestration alternatives; thus,
understanding tree growth and the efficacy of remote sensing techniques to capture forest …
understanding tree growth and the efficacy of remote sensing techniques to capture forest …
A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning
Rapid and accurate assessment of apple-tree leaf nitrogen content (LNC) plays an important
role in smart orchards for accurate fertilization. Hyperspectral remote sensing technology …
role in smart orchards for accurate fertilization. Hyperspectral remote sensing technology …