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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 …
A review of tree species classification based on airborne LiDAR data and applied classifiers
M Michałowska, J Rapiński - Remote Sensing, 2021 - mdpi.com
Remote sensing techniques, developed over the past four decades, have enabled large-
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
[HTML][HTML] Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning
Calibration and validation of aboveground biomass (AGB)(AGB) products retrieved from
satellite-borne sensors require accurate AGB estimates across hectare scales (1 to 100 ha) …
satellite-borne sensors require accurate AGB estimates across hectare scales (1 to 100 ha) …
[HTML][HTML] A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level
R Yu, Y Luo, Q Zhou, X Zhang, D Wu, L Ren - International Journal of …, 2021 - Elsevier
Pine wilt disease (PWD) is a global destructive threat to forests, having caused extreme
damage in China. Therefore, the establishment of an effective method to accurately monitor …
damage in China. Therefore, the establishment of an effective method to accurately monitor …
Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis
Tropical forest conservation and management can significantly benefit from information
about the spatial distribution of tree species. Very-high resolution (VHR) spaceborne …
about the spatial distribution of tree species. Very-high resolution (VHR) spaceborne …
Recognition of diseased Pinus trees in UAV images using deep learning and AdaBoost classifier
G Hu, C Yin, M Wan, Y Zhang, Y Fang - Biosystems Engineering, 2020 - Elsevier
Highlights•A method for recognizing diseased Pinus trees is presented by using UAV
images.•A DCGAN model is used to expand the training samples for solving overfitting.•A …
images.•A DCGAN model is used to expand the training samples for solving overfitting.•A …
Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data
Y Quan, M Li, Y Hao, J Liu, B Wang - GIScience & Remote Sensing, 2023 - Taylor & Francis
Recent growth in unmanned aerial vehicle (UAV) technology have promoted the detailed
map** of individual tree species. However, the in-depth mining and comprehending of the …
map** of individual tree species. However, the in-depth mining and comprehending of the …
Identifying pine wood nematode disease using UAV images and deep learning algorithms
J Qin, B Wang, Y Wu, Q Lu, H Zhu - Remote Sensing, 2021 - mdpi.com
Pine nematode is a highly contagious disease that causes great damage to the world's pine
forest resources. Timely and accurate identification of pine nematode disease can help to …
forest resources. Timely and accurate identification of pine nematode disease can help to …
Mountain tree species map** using sentinel-2, PlanetScope, and airborne HySpex hyperspectral imagery
Europe's mountain forests, which are naturally valuable areas due to their high biodiversity
and well-preserved natural characteristics, are experiencing major alterations, so an …
and well-preserved natural characteristics, are experiencing major alterations, so an …