Emerging social media data on measuring urban park use
Green urban infrastructure, which serves the interests of both human and nature, are
considered as essential assets of urban residents. However, measuring the use of green …
considered as essential assets of urban residents. However, measuring the use of green …
Estimating forest stock volume in Hunan Province, China, by integrating in situ plot data, Sentinel-2 images, and linear and machine learning regression models
The forest stock volume (FSV) is one of the key indicators in forestry resource assessments
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
on local, regional, and national scales. To date, scaling up in situ plot-scale measurements …
[HTML][HTML] Spatial neighborhood analysis linking urban morphology and green infrastructure to atmospheric conditions in Karlsruhe, Germany
Urban areas are affected by the urban heat island effect, resulting in increased heat strain
compared to rural areas. In this article, we aimed to study how urban morphology (eg …
compared to rural areas. In this article, we aimed to study how urban morphology (eg …
Effects of canopy and multi-epoch observations on single-point positioning errors of a GNSS in coniferous and broadleaved forests
Global navigation satellite systems (GNSS) can quickly, efficiently, and accurately provide
precise coordinates of points, lines, and surface elements, plus complete surveys and …
precise coordinates of points, lines, and surface elements, plus complete surveys and …
Estimation of Forest Stock Volume Using Sentinel-2 MSI, Landsat 8 OLI Imagery and Forest Inventory Data
Y Zhou, Z Feng - Forests, 2023 - mdpi.com
Forest stock volume (FSV) is a key indicator for measuring forest quality, evaluating forest
management capabilities, and the main factor for evaluating forest carbon sequestration …
management capabilities, and the main factor for evaluating forest carbon sequestration …
Integration of remote sensing and GIS to extract plantation rows from a drone-based image point cloud digital surface model
Automated feature extraction from drone-based image point clouds (DIPC) is of paramount
importance in precision agriculture (PA). PA is blessed with mechanized row seedlings to …
importance in precision agriculture (PA). PA is blessed with mechanized row seedlings to …
BiodivAR: a cartographic authoring tool for the visualization of geolocated media in augmented reality
J Mercier, N Chabloz, G Dozot, O Ertz… - … International Journal of …, 2023 - mdpi.com
Location-based augmented reality technology for real-world, outdoor experiences is rapidly
gaining in popularity in a variety of fields such as engineering, education, and gaming. By …
gaining in popularity in a variety of fields such as engineering, education, and gaming. By …
Extending data for urban health decision-making: a menu of new and potential neighborhood-level health determinants datasets in LMICs
Area-level indicators of the determinants of health are vital to plan and monitor progress
toward targets such as the Sustainable Development Goals (SDGs). Tools such as the …
toward targets such as the Sustainable Development Goals (SDGs). Tools such as the …
The laser vegetation detecting sensor: A full waveform, large-footprint, airborne laser altimeter for monitoring forest resources
Y Hu, F Wu, Z Sun, A Lister, X Gao, W Li, D Peng - Sensors, 2019 - mdpi.com
The use of satellite-borne large-footprint LiDAR (light detection and ranging) systems allows
for the acquisition of forest monitoring data. This paper mainly describes the design, use …
for the acquisition of forest monitoring data. This paper mainly describes the design, use …
Predicting Soldier Performance on Structured Military Training Marches with Wearable Accelerometer and Physiological Data
Performance metrics are extremely important for military instructors and leadership to gauge
soldier fitness and readiness and adjust training regimens accordingly. One important …
soldier fitness and readiness and adjust training regimens accordingly. One important …