Remote Sensing: Fundamentals, Types and Monitoring Applications of Environmental Consequences of War

2009 ◽  
pp. 41-124 ◽  
Author(s):  
Dhari Al Ajmi ◽  
Saif ud din
Keyword(s):  
Remote Sensing ◽  
Environmental Consequences ◽  
Monitoring Applications

scholarly journals Characterization of Low-Cost Inkjet Printed-Photonic Cured Strain Gauges for Remote Sensing and Structural Monitoring Applications

2021 ◽  
Author(s):  
Juho Kerminen ◽  
Jenny Wiklund ◽  
Alp Karakoç ◽  
Kalle Ruttik ◽  
Riku Jäntti ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Low Cost ◽  
Effective Strain ◽  
Cost Effective ◽  
Structural Monitoring ◽  
Strain Gauges ◽  
Gauge Factor ◽  
Ohmic Resistance ◽  
Monitoring Applications ◽  
Potential Applications

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.

scholarly journals INFORMATION TECHNOLOGIES FOR MONITORING THE ENVIRONMENTAL CONSEQUENCES OF AMBER PRODUCTION IN UKRAINE

2018 ◽  
pp. 107-117
Author(s):  
H. Ya. Krasovskyi ◽  
V. O. Shumeiko ◽  
T. O. Klochko ◽  
N. I. Sementsova
Keyword(s):  
Remote Sensing ◽  
Information Technologies ◽  
Production Management ◽  
Ecological Impacts ◽  
Open Pit ◽  
Environmental Damage ◽  
Earth Remote Sensing ◽  
Geoinformation Systems ◽  
Groundwater Levels ◽  
Environmental Consequences

Among the environmental consequences of the illegal production of amber, the experts single out the degradation of zonal soils and underlying bed rocks, destruction of fertile humus and eluvial horizons of podzolic soils, root systems of trees, swamp formation, change in groundwater levels, destruction of forest resources, and change in the migration processes of the region’s fauna. The most serious ecological and economic problems are caused by the unauthorized production of amber in Rivne, Volyn and Zhytomyr oblasts, where the illegal production of amber is carried out by open-pit and hydromechanical methods. The main tasks set forth in the article are: to analyze the places and conditions of amber production, to define its influence on the environment components, to identify the objects of natural resources use by means of Earth remote sensing methods. The article deals with the development of modern information technology for identifying the places and consequences of amber production in the western regions of Polissia based on the methods of satellite environmental monitoring and tools of geoinformation systems. The production technologies and the manifestation of their ecological impacts are described. The environmental impact assessment of amber production is not possible without defining the potential operational risks, identifying the locations and extent of environmental damage. Due to local peculiarities of amber production management, it is rather difficult to fix the topographic and geodetic parameters of the manifestations of these effects, which complicates the planning of prevention and elimination measures. The methods of Earth remote sensing (ERS) from space and geoinformation systems (GIS) can define these parameters with high accuracy, reliability and efficiency, which will enable the efficient monitoring of the environmental components degradation.

scholarly journals Crop Monitoring using Unmanned Aerial Vehicles: A Review

2021 ◽  
Author(s):  
Jose Cuaran ◽  
Jose Leon
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Precision Agriculture ◽  
Environmental Changes ◽  
Great Opportunity ◽  
Crop Monitoring ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
Monitoring Applications ◽  
Common Application

Unmanned aerial vehicles (UAVs) or drones have been developed significantly over the past two decades, for a wide variety of applications such as surveillance, geographic studies, fire monitoring, security, military applications, search and rescue, agriculture, etc. In agriculture, for example, remote sensing by means of unmanned aerial vehicles has proven to be the most efficient way to monitor crops from images. Unlike remote sensing from satellite images or taken from manned aircraft, UAVs allow capturing images of high spatial and temporal resolution, thanks to their maneuverability and capability of flying at low altitude. This article presents an extensive review of the literature on crop monitoring by UAV, identifying specific applications, types of vehicles, sensors, image processing techniques, among others. A total of 50 articles related to crop monitoring applications of UAV in agriculture were reviewed. Only journal articles indexed in the Scopus database with more than 50 citations were considered. It was found that cereals are the most common crops where remote sensing has been applied so far. In addition, the most common crop remote sensing applications are related to precision agriculture, which includes the management of weeds, pests, diseases, nutrients and others. Crop phenotyping is also a common application of remote sensing, which consists of the evaluation of a crop’s physical characteristics under environmental changes, to select the plants or seeds with favorable genotype and phenotype. Besides, multirotor is the most common type of UAV used for remote sensing and RGB and multispectral cameras are mostly used as sensors for this application. Finally, there is a great opportunity for research in remote sensing related to a wide variety of crops, crop monitoring applications, vegetation indexes and photogrammetry.

35MM Photography, Viewing and Cataloguing System for Remote Sensing Data

1975 ◽  
Vol 29 (2) ◽  
pp. 201-208
Author(s):  
James P. Scherz ◽  
Ramchandra Singh ◽  
Gregory Rinehardt
Keyword(s):  
Remote Sensing ◽  
Environmental Monitoring ◽  
Remote Sensing Data ◽  
Practical Method ◽  
Motor Drive ◽  
Film System ◽  
Infrared Images ◽  
Bulk Film ◽  
Monitoring Applications ◽  
Density Analysis

For many environmental monitoring applications, 35mm color and color infrared images are just as adequate as larger sized photography taken by cameras designed for high metric accuracy. Also a 35mm system is many times more economical and versatile. This paper describes a 35mm system utilizing two bulk-film, motor-drive cameras that produce in effect 35mm color and color infrared microfilm that can be viewed, catalogued, retrieved, and, in all other ways, handled as conventional microfilm. Minor modifications to standard microfilm viewers allow projection of selected frames to a base map; step wedges can be easily photographed and density analysis made with a microdensitometer, and slide copy equipment can copy selected frames for illustration work. This 35mm bulk-film system has proven a most versatile, economical and practical method for operational remote sensing environmental monitoring.

scholarly journals Cloud Computing Based on Computational Characteristics for Disaster Monitoring

2020 ◽  
Vol 10 (19) ◽  
pp. 6676
Author(s):  
Quan Zou ◽  
Guoqing Li ◽  
Wenyang Yu
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Cloud Computing ◽  
Programming Model ◽  
Rapid Development ◽  
Remote Sensing Image ◽  
Data Intensive ◽  
Computational Performance ◽  
Monitoring Applications ◽  
Disaster Monitoring

Resources related to remote-sensing data, computing, and models are scattered globally. The use of remote-sensing images for disaster-monitoring applications is data-intensive and involves complex algorithms. These characteristics make the timely and rapid processing of disaster-monitoring applications challenging and inefficient. Cloud computing provides a dynamically scalable resource over the Internet. The rapid development of cloud computing has led to an increase in the computational performance of data-intensive computing, providing powerful throughput by distributing computation across many distributed computers. However, the use of current cloud computing models in scientific applications using remote-sensing image data has been limited to a single image-processing algorithm rather than a well-established model and method. This poses problems for the development of complex disaster-monitoring applications on cloud platform architectures. For example, distributed computing strategies and remote-sensing image-processing algorithms are highly coupled and not reusable. The aims of this paper are to identify computational characteristics of various disaster-monitoring algorithms and classify them according to different computational characteristics; explore a reusable processing model based on the MapReduce programming model for disaster-monitoring applications; and then establish a programming model for each type of algorithm. This approach provides a simpler programming method for programmers to implement disaster-monitoring applications. Finally, some examples are given to explain the proposed method and test its performance.

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