An overview of using unmanned aerial system mounted sensors to measure plant above-ground biomass
Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …
Machine learning assisted remote forestry health assessment: a comprehensive state of the art review
Forests are suffering water stress due to climate change; in some parts of the globe, forests
are being exposed to the highest temperatures historically recorded. Machine learning …
are being exposed to the highest temperatures historically recorded. Machine learning …
Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer
An automated system that identifies work at height and the fastening state of safety hooks
using wearable sensors was developed to prevent falls from height (FFH). This system …
using wearable sensors was developed to prevent falls from height (FFH). This system …
Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach
The COVID-19 pandemic had brought changes to individuals, especially in consumer
behavior. As the government of different countries has been implementing safety protocols …
behavior. As the government of different countries has been implementing safety protocols …
Optimal channels and features selection based ADHD detection from EEG signal using statistical and machine learning techniques
Attention deficit hyperactivity disorder (ADHD) is one of the major psychiatric and
neurodevelopment disorders worldwide. Electroencephalography (EEG) signal-based …
neurodevelopment disorders worldwide. Electroencephalography (EEG) signal-based …
[HTML][HTML] Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI
I Indirabai, M Nilsson - Ecological Informatics, 2024 - Elsevier
Quantifying above ground biomass (AGB) and its spatial distribution can significantly
contribute to monitor carbon stocks as well as the carbon storage dynamics in forests. For …
contribute to monitor carbon stocks as well as the carbon storage dynamics in forests. For …
A novel vegetation index approach using sentinel-2 data and random forest algorithm for estimating forest stock volume in the Helan mountains, Ningxia, China
T Ma, Y Hu, J Wang, M Beckline, D Pang, L Chen, X Ni… - Remote Sensing, 2023 - mdpi.com
Forest stock volume (FSV) is a major indicator of forest ecosystem health and it also plays an
important part in understanding the worldwide carbon cycle. A precise comprehension of the …
important part in understanding the worldwide carbon cycle. A precise comprehension of the …
A comprehensive comparison of machine learning and feature selection methods for maize biomass estimation using sentinel-1 SAR, sentinel-2 vegetation indices …
C Xu, Y Ding, X Zheng, Y Wang, R Zhang, H Zhang… - Remote Sensing, 2022 - mdpi.com
Rapid and accurate estimation of maize biomass is critical for predicting crop productivity.
The launched Sentinel-1 (S-1) synthetic aperture radar (SAR) and Sentinel-2 (S-2) missions …
The launched Sentinel-1 (S-1) synthetic aperture radar (SAR) and Sentinel-2 (S-2) missions …
Above-ground biomass estimation in a Mediterranean sparse coppice oak forest using Sentinel-2 data
Implementing a scheduled and reliable estimation of forest characteristics is important for
the sustainable management of forests. This study aimed at evaluating the capability of …
the sustainable management of forests. This study aimed at evaluating the capability of …
[HTML][HTML] Assessment of Carbon Stock and Sequestration Dynamics in Response to Land Use and Land Cover Changes in a Tropical Landscape
Quantitative analysis of LULC changes and their effects on carbon stock and sequestration
is important for mitigating climate change. Therefore, this study examines carbon stock and …
is important for mitigating climate change. Therefore, this study examines carbon stock and …