Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art

P Ghamisi, B Rasti, N Yokoya, Q Wang… - … and Remote Sensing …, 2019 - ieeexplore.ieee.org
This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …

Cross-source point cloud registration: Challenges, progress and prospects

X Huang, G Mei, J Zhang - Neurocomputing, 2023 - Elsevier
The emerging topic of cross-source point cloud (CSPC) registration has attracted increasing
attention with the fast development background of 3D sensor technologies. Different from the …

[HTML][HTML] Remote sensing for monitoring rangeland condition: current status and development of methods

A Retallack, G Finlayson, B Ostendorf, K Clarke… - Environmental and …, 2023 - Elsevier
This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …

Integrating drone imagery with existing rangeland monitoring programs

JK Gillan, JW Karl, WJD van Leeuwen - Environmental monitoring and …, 2020 - Springer
The recent availability of small and low-cost sensor carrying unmanned aerial systems
(UAS, commonly known as drones) coupled with advances in image processing software …

[HTML][HTML] Multi-sensor point cloud data fusion for precise 3D mapping

M Abdelazeem, A Elamin, A Afifi… - The Egyptian Journal of …, 2021 - Elsevier
Multi-sensor data fusion has recently gained a wide attention within the Geomatics research
community, as it helps overcome the limitations of a single sensor and enables a complete …

[HTML][HTML] Characterizing vegetation complexity with unmanned aerial systems (UAS)–a framework and synthesis

J Müllerová, X Gago, M Bučas, J Company, J Estrany… - Ecological …, 2021 - Elsevier
Ecosystem complexity is among the important drivers of biodiversity and ecosystem
functioning, and unmanned aerial systems (UASs) are becoming an important tool for …

Customizing unmanned aircraft systems to reduce forest inventory costs: can oblique images substantially improve the 3D reconstruction of the canopy?

GM Díaz, D Mohr-Bell, M Garrett, L Muñoz… - … Journal of Remote …, 2020 - Taylor & Francis
Photogrammetry makes it possible to estimate forest canopy surface at lower costs than light
detection and ranging (LiDAR), which is considered the best data source to evaluate forest …

A Mixed Methods Approach for Fuel Characterisation in Gorse (Ulex europaeus L.) Scrub from High-Density UAV Laser Scanning Point Clouds and Semantic …

RJL Hartley, SJ Davidson, MS Watt, PD Massam… - Remote Sensing, 2022 - mdpi.com
The classification and quantification of fuel is traditionally a labour-intensive, costly and often
subjective operation, especially in hazardous vegetation types, such as gorse (Ulex …

Dynamics of erosion and deposition in a partially restored valley-bottom gully

Gullies are sources and reservoirs of sediments and perform as efficient transfers of runoff
and sediments. In recent years, several techniques and technologies emerged to facilitate …

Estimating forage utilization with drone-based photogrammetric point clouds

JK Gillan, MP McClaran, TL Swetnam… - Rangeland Ecology & …, 2019 - Elsevier
Monitoring of forage utilization typically occurs at sample locations, or key areas, selected for
their presumed potential to represent utilization across pastures. However, utilization can …