Orchard monitoring based on unmanned aerial vehicles and image processing by artificial neural networks: a systematic review
Orchard monitoring is a vital direction of scientific research and practical application for
increasing fruit production in ecological conditions. Recently, due to the development of …
increasing fruit production in ecological conditions. Recently, due to the development of …
Integration of machine learning and remote sensing for assessing the change detection of mangrove forests along the Mumbai coast
Mangrove forests, being high-yielding ecosystems, often dominate the intertidal sites along
equatorial and subtropical coasts. Despite the known significance of mangroves to the …
equatorial and subtropical coasts. Despite the known significance of mangroves to the …
[HTML][HTML] DSAIL-TreeVision: A software tool for extracting tree biophysical parameters from stereoscopic images
C Kiplimo, CE Epege, C wa Maina, B Okal - SoftwareX, 2024 - Elsevier
Reliable forest data is crucial for policy and investment decisions, hence the need to monitor
forests. Tree harvesting policies, informed by tree attribute data, can help prevent excessive …
forests. Tree harvesting policies, informed by tree attribute data, can help prevent excessive …
Extraction and analysis of snow covered area from high resolution satellite imageries using K-means clustering
BG Kodge - Earth Science Informatics, 2023 - Springer
Numerous environmental issues are being faced by the world today as a result of
unfavorable climate changes brought on by global warming and other man-made factors, as …
unfavorable climate changes brought on by global warming and other man-made factors, as …
An investigation of ancient water collection and storage systems near the Karahantepe neolithic site using UAV and GIS
N Polat - Environmental Archaeology, 2023 - Taylor & Francis
This study aimed to investigate the ancient water collection and storage systems near the
Karahantepe Neolithic Site, located 500 m to the north, utilising unmanned aerial vehicles …
Karahantepe Neolithic Site, located 500 m to the north, utilising unmanned aerial vehicles …
[HTML][HTML] Spectral–Spatial transformer-based semantic segmentation for large-scale mapping of individual date palm trees using very high-resolution satellite data
Date palm plantations in the United Arab Emirates (UAE) are under threat from soil salinity,
drought, and date palm weevils. Accordingly, monitoring and conserving date palms are …
drought, and date palm weevils. Accordingly, monitoring and conserving date palms are …
Large-scale assessment of date palm plantations based on UAV remote sensing and multiscale vision transformer
Timely and efficient mapping of date palm plantations through unmanned aerial vehicle
(UAV) remote sensing is critical for continuous observation, health and risk evaluation, pest …
(UAV) remote sensing is critical for continuous observation, health and risk evaluation, pest …
A u-net based segmentation and classification approach over orthophoto maps of archaeological sites
In recent years, remote sensing and deep learning methods have frequently been used to
segment aerial images obtained by satellite, unmanned, or manned aerial vehicles …
segment aerial images obtained by satellite, unmanned, or manned aerial vehicles …
Exploring structural deterioration at historical buildings with UAV photogrammetry
The preservation and transmission of cultural heritage to future generations are crucial in
today's rapidly advancing world. This study focuses on the application of Unmanned Aerial …
today's rapidly advancing world. This study focuses on the application of Unmanned Aerial …
Assessing road roughness using UAV-derived dense point clouds
The quality and safety of road networks are of paramount importance in modern
transportation infrastructure. Road surface conditions, particularly road roughness …
transportation infrastructure. Road surface conditions, particularly road roughness …