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Mobile computing for pest and disease management using spectral signature analysis: A review
The demand for mobile applications in agriculture is increasing as smartphones are
continuously developed and used for many purposes; one of them is managing pests and …
continuously developed and used for many purposes; one of them is managing pests and …
[HTML][HTML] Forestry big data: A review and bibliometric analysis
W Gao, Q Qiu, C Yuan, X Shen, F Cao, G Wang… - Forests, 2022 - mdpi.com
Due to improved data collection and processing techniques, forestry surveys are now more
efficient and accurate, generating large amounts of forestry data. Forestry Big Data (FBD) …
efficient and accurate, generating large amounts of forestry data. Forestry Big Data (FBD) …
[HTML][HTML] Supervised terrestrial to airborne laser scanner model calibration for 3D individual-tree attribute map** using deep neural networks
Z ** and diameter estimation with autonomous aerial robots
To properly monitor the growth of forests and administer effective methods for their
cultivation, forestry researchers require access to quantitative metrics such as diameter at …
cultivation, forestry researchers require access to quantitative metrics such as diameter at …
[HTML][HTML] Time series forest fire prediction based on improved transformer
X Miao, J Li, Y Mu, C He, Y Ma, J Chen, W Wei, D Gao - Forests, 2023 - mdpi.com
Forest fires, severe natural disasters causing substantial damage, necessitate accurate
predictive modeling to guide preventative measures effectively. This study introduces an …
predictive modeling to guide preventative measures effectively. This study introduces an …
Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Türkiye
Remote sensing technologies have been extensively used in forest management in
predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 …
predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 …
[HTML][HTML] Prediction of tree crown width in natural mixed forests using deep learning algorithm
Y Qin, B Wu, X Lei, L Feng - Forest Ecosystems, 2023 - Elsevier
Crown width (CW) is one of the most important tree metrics, but obtaining CW data is
laborious and time-consuming, particularly in natural forests. The Deep Learning (DL) …
laborious and time-consuming, particularly in natural forests. The Deep Learning (DL) …
Post-hurricane damage severity classification at the individual tree level using terrestrial laser scanning and deep learning
Natural disturbances like hurricanes can cause extensive disorder in forest structure,
composition, and succession. Consequently, ecological, social, and economic alterations …
composition, and succession. Consequently, ecological, social, and economic alterations …
Generalized models for subtropical forest inventory attribute estimations using a rule-based exhaustive combination approach with airborne LiDAR-derived metrics
C Li, Z Chen, X Zhou, M Zhou, Z Li - GIScience & Remote Sensing, 2023 - Taylor & Francis
Airborne LiDAR has been widely used to map forest inventory attributes at various scales.
However, most of the developed models on airborne LiDAR-based forest attribute …
However, most of the developed models on airborne LiDAR-based forest attribute …
Using high-resolution LiDAR-derived canopy structure and topography to characterise hibernaculum locations of the hazel dormouse
The hazel dormouse is predominantly an arboreal species that moves down to the ground to
hibernate in the autumn in temperate parts of its distributional ranges at locations not yet …
hibernate in the autumn in temperate parts of its distributional ranges at locations not yet …