scholarly journals Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects

2020 ◽  
Vol 12 (6) ◽  
pp. 948 ◽  
Author(s):  
Clare Gaffey ◽  
Anshuman Bhardwaj
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
Unmanned Aerial Vehicles ◽  
Regional Climate ◽  
Airborne Remote Sensing ◽  
Aerial Vehicles ◽  
Holistic Review ◽  
Sensing Platform ◽  
Sensing Platforms ◽  
Data Acquisition And Processing

Owing to usual logistic hardships related to field-based cryospheric research, remote sensing has played a significant role in understanding the frozen components of the Earth system. Conventional spaceborne or airborne remote sensing platforms have their own merits and limitations. Unmanned aerial vehicles (UAVs) have emerged as a viable and inexpensive option for studying the cryospheric components at unprecedented spatiotemporal resolutions. UAVs are adaptable to various cryospheric research needs in terms of providing flexibility with data acquisition windows, revisits, data/sensor types (multispectral, hyperspectral, microwave, thermal/night imaging, Light Detection and Ranging (LiDAR), and photogrammetric stereos), viewing angles, flying altitudes, and overlap dimensions. Thus, UAVs have the potential to act as a bridging remote sensing platform between spatially discrete in situ observations and spatially continuous but coarser and costlier spaceborne or conventional airborne remote sensing. In recent years, a number of studies using UAVs for cryospheric research have been published. However, a holistic review discussing the methodological advancements, hardware and software improvements, results, and future prospects of such cryospheric studies is completely missing. In the present scenario of rapidly changing global and regional climate, studying cryospheric changes using UAVs is bound to gain further momentum and future studies will benefit from a balanced review on this topic. Our review covers the most recent applications of UAVs within glaciology, snow, permafrost, and polar research to support the continued development of high-resolution investigations of cryosphere. We also analyze the UAV and sensor hardware, and data acquisition and processing software in terms of popularity for cryospheric applications and revisit the existing UAV flying regulations in cold regions of the world. The recent usage of UAVs outlined in 103 case studies provide expertise that future investigators should base decisions on.

A Review of Unmanned Aerial Vehicles, Citizen Science, and Interferometry Remote Sensing in Landslide Hazards

2017 ◽  
pp. 469-491 ◽  
Author(s):  
Panagiotis Partsinevelos ◽  
Zacharias Agioutantis ◽  
Achilleas Tripolitsiotis ◽  
Nathaniel Schaefer
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Citizen Science ◽  
Aerial Vehicles ◽  
Landslide Hazards

scholarly journals PERSPECTIVE OF USE OF REMOTE SENSING OF THE EARTH AND UNMANNED AERIAL VEHICLES IN THE AGRICULTURE OF TATARSTAN

2018 ◽  
Vol 12 (4) ◽  
pp. 17-19 ◽  
Author(s):  
Салават Сулейманов ◽  
Salavat Suleymanov ◽  
Николай Логинов ◽  
Nikolay Loginov
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Remote Sensing Data ◽  
Soil Characteristics ◽  
Sensing Data ◽  
Natural Processes ◽  
Aerial Vehicles ◽  
The Earth ◽  
Constant Change ◽  
Vast Territory

The vast territory of Russia, occupied by agricultural lands, is difficult to control due to the lack of an undeveloped network of operational monitoring points, ground stations, including meteorological stations, lack of aviation support due to the high cost of maintaining staff, etc. In addition, due to various types of natural processes, there is a constant change in the boundaries of acreage, soil characteristics and vegetation conditions in different fields and from site to site. Abroad, the above mentioned problems are successfully solved due to the application of remote sensing data (RSD) of the Earth, obtained with the help of unmanned aerial vehicles (UAVs). The proceedings, obtained (UAV), can help both to solve complex tasks of managing agricultural territories, and in highly specialized areas.

Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing

2019 ◽  
pp. 220-241
Author(s):  
Maryna Zharikova ◽  
Vladimir Sherstjuk
Keyword(s):  
Remote Sensing ◽  
Data Integration ◽  
Unmanned Aerial Vehicles ◽  
Monitoring System ◽  
Fire Response ◽  
Ground Support ◽  
Aerial Vehicles ◽  
Remote Sensing Techniques ◽  
Fire Spreading ◽  
Multi Uav

In this chapter, the authors propose an approach to using a heterogeneous team of unmanned aerial vehicles and remote sensing techniques to perform tactical forest firefighting operations. The authors present the three-level architecture of the multi-UAV-based forest firefighting monitoring system; features of patrolling, confirming, and monitoring missions; as well as functions of UAV in such missions. The authors consider an infrastructure for the UAV ground support and equipment used for the UAVs control. The method of the data integration into a fire-spreading model in a real-time DSS for the forest fire response is proposed. The proposed approach has been tested with the multi-UAV team that included three drones for the patrol missions, one helicopter for the confirmation mission, and one octocopter for the monitoring mission. The performance of such multi-UAV team has been studied in the laboratory conditions. The result of the experiment has shown that the proposed approach provides required credibility and efficiency of fire prediction and response.

New Solutions and Methodologies for Data Acquisition and Management in Small Municipalities

2021 ◽  
pp. 103-123
Author(s):  
Rui Pedro Juliao ◽  
Amilton Amorim ◽  
João Paulo Hespanha ◽  
Guilherme Henrique Barros de Souza ◽  
Ronaldo Celso Messias Correia ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Unmanned Aerial Vehicles ◽  
Spatial Data ◽  
Domain Model ◽  
Territorial Development ◽  
Paulo State ◽  
Land Administration ◽  
Aerial Vehicles ◽  
Data Infrastructures

Promoting and managing sustainable territorial development require adequate tools that enable territorial managers to formulate appropriate choices. Technological solutions have emerged, and the paradigm has shifted from isolated GIS to a more collaborative production and dissemination of geographic data using spatial data infrastructures (SDI). A critical dataset for municipal land administration is cadastre. ISO 19152 standard of the Land Administration Domain Model (LADM) was published in 2012. Also, technology evolution, namely unmanned aerial vehicles (UAV), has changed data acquisition for cadastre. These are three pillars of modern territorial management: openness, co-production, and data sharing (SDI); models (LADM); affordable technology (UAV). This chapter presents how municipalities can develop an SDI project, incorporating LADM guidelines and UAV data acquisition. The case study is based on a group of 32 small municipalities from São Paulo state, in Brazil, known as UNIPONTAL.

scholarly journals Preface: Latest Developments, Methodologies, and Applications Based on UAV Platforms

Drones ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 26 ◽  
Author(s):  
Francesco Nex ◽  
Fabio Remondino
Keyword(s):  
Data Acquisition ◽  
Unmanned Aerial Vehicles ◽  
3D Modeling ◽  
Aerial Vehicles

The use of Unmanned Aerial Vehicles (UAV) has boomed in the last decade, making these flying platforms an instrument for everyday data acquisition in many applications such as 3D modeling [...]

scholarly journals Ionospheric Polarization Techniques for Robust NVIS Remote Sensing Platforms

2020 ◽  
Vol 10 (11) ◽  
pp. 3730 ◽  
Author(s):  
Josep M. Maso ◽  
Jordi Male ◽  
Joaquim Porte ◽  
Joan L. Pijoan ◽  
David Badia
Keyword(s):  
Remote Sensing ◽  
Power Transmission ◽  
Low Cost ◽  
Density Ratio ◽  
Satellite Communications ◽  
Selection Combining ◽  
Noise Spectral Density ◽  
Diversity Techniques ◽  
Sensing Platform ◽  
Sensing Platforms

Every year more interest is focused on high frequencies (HF) communications for remote sensing platforms due to their capacity to establish links of more than 250 km without a line of sight and due to them being a low-cost alternative to satellite communications. In this article, we study the ionospheric ordinary and extraordinary waves to improve the applications of near vertical incidence skywave (NVIS) on a single input multiple output (SIMO) configuration. To obtain the results, we established a link of 95 km to test the diversity combining of ordinary and extraordinary waves by using selection combining (SC) and equal-gain combining (EGC) on a remote sensing platform. The testbench is based on digital modulation transmissions with power transmission between 3 and 100 W. The results show us the main energy per bit to noise spectral density ratio (Eb/N0) and the bit error rate (BER) differences between ordinary and extraordinary waves, SC, and EGC. To conclude, diversity techniques show us a decrease of the power transmission need, allowing for the use of compact antennas and increasing battery autonomy. Furthermore, we present three different improvement options for NVIS SIMO remote sensing platforms depending on the requirements of bitrate, power consumption, and efficiency of communication.

Sign in / Sign up

Export Citation Format

Share Document