Results 81 to 90 of about 905,566 (388)

Positional Precision Analysis of Orthomosaics Derived from Drone Captured Aerial Imagery [PDF]

open access: yes, 2019
The advancement of drones has revolutionized the production of aerial imagery. Using a drone with its associated flight control and image processing applications, a high resolution orthorectified mosaic from multiple individual aerial images can be ...
Hung, I-Kuai   +3 more
core   +2 more sources

Forestry digital twin with machine learning in Landsat 7 data [PDF]

open access: yesarXiv, 2022
Modeling forests using historical data allows for more accurately evolution analysis, thus providing an important basis for other studies. As a recognized and effective tool, remote sensing plays an important role in forestry analysis. We can use it to derive information about the forest, including tree type, coverage and canopy density. There are many
arxiv  

Using model forests as a form of balanced forestry in Ukraine

open access: yesMetsanduslikud Uurimused, 2019
The relevance of the research topic is prompted by the need to improve the practical instruments of forest management and make them in line with the principles of sustainable development.
Cherchyk Larysa   +2 more
doaj   +1 more source

Investigation of relations between forest functions and some socioeconomic variables: The case of Turkey

open access: yesİstanbul Üniversitesi Orman Fakültesi Dergisi, 2017
While human beings first utilized forests as sources of nutrition and shelter, by the industrial age, forests were seen as sources of raw materials. Through variation in forest usage, interactions between forest and society have undergone obvious changes.
Seçil Yurdakul Erol   +1 more
doaj   +1 more source

Sex‐Related Differences in Efficacy and Safety Outcomes in Axial Spondyloarthritis Randomized Clinical Trials: A Systematic Literature Review and Meta‐Analysis

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao   +5 more
wiley   +1 more source

The Potential Economic Returns of Converting Agricultural Land to Forestry: An Analysis of System and Soil Effects from 1995 to 2009 [PDF]

open access: yes, 2013
peer-reviewedPrivate land owners have been responsible for the majority of annual afforestation in Ireland since the mid1990s, but planting rates have generally been declining since 2002.
Farrelly, Niall   +3 more
core  

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans [PDF]

open access: yesarXiv, 2022
The analysis of the multi-layer structure of wild forests is an important challenge of automated large-scale forestry. While modern aerial LiDARs offer geometric information across all vegetation layers, most datasets and methods focus only on the segmentation and reconstruction of the top of canopy.
arxiv  

Evaluation of opinions about strategic action plans related forestry and their efficiency in application

open access: yesTurkish Journal of Forestry, 2017
The ownership of the vast majority of forests in Turkey belongs to the state. It is operated by General Directorate of Forestry (OGM). The OGM has passed strategic management with the strategic plan covering the first 2010-2014 years.
Ahmet TOLUNAY   +2 more
doaj   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection [PDF]

open access: yesarXiv, 2022
Vision-based segmentation in forested environments is a key functionality for autonomous forestry operations such as tree felling and forwarding. Deep learning algorithms demonstrate promising results to perform visual tasks such as object detection.
arxiv  

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