Medical robots with potential applications in participatory and opportunistic remote sensing: A review

2017 ◽  
Vol 95 ◽  
pp. 160-180 ◽  
Author(s):  
Morteza Daneshmand ◽  
Ozan Bilici ◽  
Anastasia Bolotnikova ◽  
Gholamreza Anbarjafari
2009 ◽  
Vol 18 (4) ◽  
pp. 193-216 ◽  
Author(s):  
Matthieu Alric ◽  
Frédéric Chapelle ◽  
Jean-Jacques Lemaire ◽  
Grigore Gogu

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 140 ◽  
Author(s):  
Deepak Gautam ◽  
Vinay Pagay

With increasingly advanced remote sensing systems, more accurate retrievals of crop water status are being made at the individual crop level to aid in precision irrigation. This paper summarises the use of remote sensing for the estimation of water status in horticultural crops. The remote measurements of the water potential, soil moisture, evapotranspiration, canopy 3D structure, and vigour for water status estimation are presented in this comprehensive review. These parameters directly or indirectly provide estimates of crop water status, which is critically important for irrigation management in farms. The review is organised into four main sections: (i) remote sensing platforms; (ii) the remote sensor suite; (iii) techniques adopted for horticultural applications and indicators of water status; and, (iv) case studies of the use of remote sensing in horticultural crops. Finally, the authors’ view is presented with regard to future prospects and research gaps in the estimation of the crop water status for precision irrigation.


2012 ◽  
Vol 446-449 ◽  
pp. 3798-3802
Author(s):  
Xin Lu ◽  
Miao Le Hou ◽  
Yun Gang Hu

Hyper-spectral remote sensing as new science and technology, is gradually applied to various fields. The technology has the technical advantages which are the high spectral resolution and non-destructive detection. These provide a new perspective for the research and protection of cultural relics. This paper firstly described the basic principles of hyper-spectral technology and its advantages, then stated the main applications of the technology in the conservation work, and at last, briefly summarized its limitations and potential applications.


2015 ◽  
Vol 210 ◽  
pp. 381-388 ◽  
Author(s):  
Nabarun Polley ◽  
Soumendra Singh ◽  
Anupam Giri ◽  
Prasanna Kumar Mondal ◽  
Peter Lemmens ◽  
...  

Agronomy ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 349-379 ◽  
Author(s):  
David Deery ◽  
Jose Jimenez-Berni ◽  
Hamlyn Jones ◽  
Xavier Sirault ◽  
Robert Furbank

Author(s):  
Juho Kerminen ◽  
Jenny Wiklund ◽  
Alp Karakoç ◽  
Kalle Ruttik ◽  
Riku Jäntti ◽  
...  

In the present work, cost-effective strain gauges were fabricated by using inkjet printing and photonic curing on flexible and recyclable PET substrates. Ohmic resistance (a.k.a. DC resistance) (R0) and complex electrical impedance (Z) as a function of test frequency were characterized, respectively, with the state-of-the-art electronic testing equipments. For the fabrication process, commercially available silver nanoparticle (AgNP) inks and printing substrates were used in order to eliminate any apriori ink processing. In order to validate the in-house cantilever beam measurement setup and devices, first, commercially available metallic foil strain gauges (with the provided gauge factor GF=2 by the manufacturer) were tested at different locations. Thereafter, the printed strain gauges were investigated with several repetitions at different measurement locations. The measurement results demonstrated an affordable, rapid and tailorable design and repeatable fabrication approach for strain gauges with GFavg~6.6, which has potential applications in remote sensing and structural monitoring applications.


2021 ◽  
Author(s):  
Anna Špačková ◽  
Vojtěch Bareš ◽  
Martin Fencl ◽  
Marc Schleiss ◽  
Joël Jaffrain ◽  
...  

Abstract. Commercial microwave links (CML) in telecommunication networks can provide relevant information for remote sensing of precipitation and other environmental variables, such as path-averaged drop size distribution, evaporation or humidity. To address this issue, the CoMMon field experiment (COmmercial Microwave links for urban rainfall MONitoring) monitored a 38-GHz dual-polarized CML of 1.85 km at a high temporal resolution (4 s), as well as a collocated array of five disdrometers and three rain gauges over one year. The dataset is complemented with observations from five nearby weather stations. Raw and pre-processed data, which can be explored effortlessly with a custom static HTML viewer, are available at https://doi.org/10.5281/zenodo.4524632 (Špačková et al., 2020). The data quality is generally satisfactory and potentially problematic measurements are flagged to help the analyst identify relevant periods for specific study purposes. Finally, we encourage potential applications and discuss open issues regarding future remote sensing with CMLs.


2019 ◽  
Vol 8 (7) ◽  
pp. 296 ◽  
Author(s):  
Doug Stead ◽  
Davide Donati ◽  
Andrea Wolter ◽  
Matthieu Sturzenegger

The stability and deformation behavior of high rock slopes depends on many factors, including geological structures, lithology, geomorphic processes, stress distribution, and groundwater regime. A comprehensive mapping program is, therefore, required to investigate and assess the stability of high rock slopes. However, slope steepness, rockfalls and ongoing instability, difficult terrain, and other safety concerns may prevent the collection of data by means of traditional field techniques. Therefore, remote sensing methods are often critical to perform an effective investigation. In this paper, we describe the application of field and remote sensing approaches for the characterization of rock slopes at various scale and distances. Based on over 15 years of the experience gained by the Engineering Geology and Resource Geotechnics Research Group at Simon Fraser University (Vancouver, Canada), we provide a summary of the potential applications, advantages, and limitations of varied remote sensing techniques for comprehensive characterization of rock slopes. We illustrate how remote sensing methods have been critical in performing rock slope investigations. However, we observe that traditional field methods still remain indispensable to collect important intact rock and discontinuity condition data.


2019 ◽  
Vol 12 (1) ◽  
pp. 43 ◽  
Author(s):  
Maurício Araújo Dias ◽  
Erivaldo Antônio da Silva ◽  
Samara Calçado de Azevedo ◽  
Wallace Casaca ◽  
Thiago Statella ◽  
...  

The potential applications of computational tools, such as anomaly detection and incongruence, for analyzing data attract much attention from the scientific research community. However, there remains a need for more studies to determine how anomaly detection and incongruence applied to analyze data of static images from remote sensing will assist in detecting water pollution. In this study, an incongruence-based anomaly detection strategy for analyzing water pollution in images from remote sensing is presented. Our strategy semi-automatically detects occurrences of one type of anomaly based on the divergence between two image classifications (contextual and non-contextual). The results indicate that our strategy accurately analyzes the majority of images. Incongruence as a strategy for detecting anomalies in real-application (non-synthetic) data found in images from remote sensing is relevant for recognizing crude oil close to open water bodies or water pollution caused by the presence of brown mud in large rivers. It can also assist surveillance systems by detecting environmental disasters or performing mappings.


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