Security challenges for drone communications: Possible threats, attacks and countermeasures

M Krichen, WYH Adoni, A Mihoub… - … Conference of Smart …, 2022 - ieeexplore.ieee.org
The current development of drones and the prospects in this field have positive
repercussions, in particular for employment and industrial development, with the key to …

Challenges and Limitations of Remote Sensing Applications in Northern Peatlands: Present and Future Prospects

AYA Abdelmajeed, R Juszczak - Remote Sensing, 2024 - mdpi.com
This systematic literature review (SLR) provides a comprehensive overview of remote
sensing (RS) applications in northern peatlands from 2017 to 2022, utilising various …

Vegetation map** with random forest using sentinel 2 and GLCM texture feature—A case study for Lousã region, Portugal

P Mohammadpour, DX Viegas, C Viegas - Remote Sensing, 2022 - mdpi.com
Vegetation map** requires accurate information to allow its use in applications such as
sustainable forest management against the effects of climate change and the threat of …

Enhancing peatland monitoring through multisource remote sensing: optical and radar data applications

G Ghazaryan, L Krupp, S Seyfried… - … Journal of Remote …, 2024 - Taylor & Francis
Peatlands play a pivotal role in global carbon cycling and the conservation of biodiversity
even though they cover a small fraction of the Earth's terrestrial surface. These ecosystems …

Upscaling methane fluxes from peatlands across a drainage gradient in Ireland using PlanetScope imagery and machine learning tools

R Ingle, W Habib, J Connolly, M McCorry, S Barry… - Scientific Reports, 2023 - nature.com
Wetlands are one of the major contributors of methane (CH4) emissions to the atmosphere
and the intensity of emissions is driven by local environmental variables and spatial …

Map** African wetlands for 2020 using multiple spectral, geo-ecological features and Google Earth Engine

A Li, K Song, S Chen, Y Mu, Z Xu, Q Zeng - ISPRS Journal of …, 2022 - Elsevier
Wetlands provide numerous ecosystem services essential for biodiversity conservation,
climate change mitigation, and human well-being. Nevertheless, there are still no complete …

Comparison of multi-class and fusion of multiple single-class SegNet model for map** karst wetland vegetation using UAV images

T Deng, B Fu, M Liu, H He, D Fan, L Li, L Huang… - Scientific reports, 2022 - nature.com
Wetland vegetation classification using deep learning algorithm and unmanned aerial
vehicle (UAV) images have attracted increased attentions. However, there exist several …

[HTML][HTML] Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery

X Zhang, H Shen, T Huang, Y Wu, B Guo, Z Liu… - Ecological …, 2024 - Elsevier
A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve
the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained …

[HTML][HTML] Less is more: Optimizing vegetation map** in peatlands using unmanned aerial vehicles (UAVs)

J Steenvoorden, H Bartholomeus, J Limpens - International Journal of …, 2023 - Elsevier
Northern peatlands are inaccessible wetlands that serve important ecosystem services to
humans, including climate regulation by storing and sequestering carbon. Unmanned aerial …

[HTML][HTML] Remote sensing of peatland degradation in temperate and boreal climate zones–A review of the potentials, gaps, and challenges

F de Waard, J Connolly, A Barthelmes, H Joosten… - Ecological …, 2024 - Elsevier
Peatland degradation causes a number of environmental problems ranging from
greenhouse gas (GHG) emissions to subsidence and ecosystem loss. Degraded peatlands …