Best Paper Award Remote Sensing 2022
I’m proud to announce that our recent paper “Current Practices in UAS-based Environmental Monitoring” has been awarded with the Best Paper Award 2022 by Remote Sensing MDPI. This paper has…
Call for Ph.D. Candidates
We are looking for very motivated and talented candidates for a Ph.D. scholarship on “Monitoring of water quality of natural rivers exploiting image processing techniques” (CU1.14) at Università degli Studi…
Estimation of soil moisture from UAS platforms using RGB and thermal imaging sensors in arid and semi-arid regions
Soil moisture (SM) is a connective hydrological variable between the Earth’s surface and atmosphere and affects various climatological processes. Surface soil moisture (SSM) is a key component for addressing energy…
Analysis of Imagery – Image Sequences Processing
Measuring object displacement and deformation in image sequences is an important task in remote sensing, photogrammetry and computer vision and a vast number of approaches have been introduced. In the…
HARMONIOUS GENERAL ASSEMBLY
University of Debrecen, Hungary Detailed program of the Workshop 08:30 – 09:30 Registration 09:30-09:50: László Bertalan, Brigitta Tóth: Welcome from local organizers09:50-10:05: Salvatore Manfreda – The achievements HARMONIOUS COST Action10:05-10:25:…
3D Models of the Cultural Heritage
UAS-based surveys and structure from motion (SfM) can lead to extraordinary and realistic 3D models to preserve our cultural heritage. In our recent applications, our members are developing new strategies…
Planning the future of Harmonious
The Department of Topography and Cartography of the Technical University of Madrid hosted our work group meeting of COST Action – HARMONIOUS from 27 up to the 30 of October.…
A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations
While the availability and affordability of unmanned aerial systems (UASs) has led to the rapid development of remote sensing applications in hydrology and hydrometry, uncertainties related to such measurements must…
Characterizing vegetation complexity with unmanned aerial systems (UAS) – A framework and synthesis
Ecosystem complexity is among the important drivers of biodiversity and ecosystem functioning, and unmanned aerial systems (UASs) are becoming an important tool for characterizing vegetation patterns and processes. The variety…
Recent Advancements and Perspectives in UAS-Based Image Velocimetry
Videos acquired from Unmanned Aerial Systems (UAS) allow for monitoring river systems at high spatial and temporal resolutions providing unprecedented datasets for hydrological and hydraulic applications. The cost-effectiveness of these…
Mapping Water Infiltration Rate Using Ground and UAV Hyperspectral Data: A Case Study of Alento, Italy
Water infiltration rate (WIR) into the soil profile was investigated through a comprehensive study harnessing spectral information of the soil surface. As soil spectroscopy provides invaluable information on soil attributes,…
Special Issue on RS entitled Global Gridded Soil Information Based on Machine Learning
This Special Issue is dedicated to machine learning-based methods in:•proximal and digital global mapping of soil properties (e.g., basic, hydraulic, thermal, functional, ecosystem services);•computing systems/algorithms/approaches using Earth observation data to…
Interview on SpeCtrum
Can you tell us how you started working on using UASs for environmental monitoring? What was your motivation, and what did you find the most interesting in this research field?…
A comparison of tools and techniques for stabilising UAS imagery for surface flow observations
This research presents an investigation of different strategies and tools for digital image stabilisation for image velocimetry purposes. Basic aspects of image stabilisation and transformation are presented, and their applicability…
VISION: VIdeo StabilisatION
VISION is one of the stabilization algorithms tested in recent manuscript entitled “A comparison of tools and techniques for stabilizing UAS imagery for surface flow observations”. The Matlab code and…