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In the article, for the first time, the regionalization of extremist materials and its relation to money laundering regionalization are studied on the example of 83 subjects of Russian Federation on reliable initial data. Using the standard toolkit, it has been investigated that such a connection is not essential, indicators of extremist materials are loosely associated with indicators of money laundering,...
For the multi-index decision problem with uncertain information, this paper introduces the definition of interval distance of three-parameter interval grey number, proposes the relative degree of grey incidence based on interval distance of three-parameter interval grey number, constructs the grey incidence decision-making model with three-parameter interval grey number, measures the relative degree...
This paper presents ionospheric scintillation data recorded at SANAE in Antarctica during a moderate geomagnetic storm on 20–21 January 2016 which gives evidence of the advantages of the new generation of instrumentation for monitoring ionospheric scintillation. The data was collected as part of the DemoGRAPE project aimed at the demonstration of cutting edge technology for the empirical assessment...
This paper examines the problem of monitoring long-term voltage instability from a phasor measurement units installed at any transmission bus. It is shown that the well-known impedance matching condition on a radially connected load bus, as well as the local identification of voltage emergency situations (LIVES) method based on load tap changing transformers can be generalized into a New LIVES Index...
SAR remote sensing has been expected as an efficient rice crop monitoring tool due to its flexible operability with wide swath. Though many researchers have intensively analysed the backscatter, there still exist non-negligible mysteries to extract physical parameters. To solve the problems, it is essential to conduct theoretical characterization of experimentally obtained radar backscatter from rice...
Urban change detection is an important part of monitoring operations and disaster relief efforts. However, often sufficient ground truth data is not available to use traditional supervised machine learning techniques. In this paper, a novel Deep Learning based weakly-supervised framework for urban change detection using multi-temporal polarimetric SAR data is proposed. A modified unsupervised stacked...
An application of the Soil Moisture Agricultural Drought Index (SMADI) for global agricultural drought monitoring is presented. The index integrates surface soil moisture from the Soil Moisture and Ocean Salinity (SMOS) mission with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) and allows for global drought...
An improved method for measuring and potentially monitoring surface particle size using satellite multispectral VNIR-SWIR-TIR ASTER TIR imagery was successfully tested for the Mu Us Desert to Loess Plateau region of China. The remote sensing results were validated against field sample data and published work. This work has implications for establishing a new mineral-based Earth Observation indicator...
With the acceleration of China's modernization, soil erosion caused by illegal activities in production and construction projects is becoming serious. Timely and effective monitoring and supervision is necessary. Traditional monitoring methods have many shortcomings, such as long period, limited precision, limited terrain. So it can't demonstrate the real situation of the project construction area...
An effective monitoring and analysis of ecosystems requires developing new tools and knowledge. In this paper, we propose an approach for detecting land-cover changes using satellite Image Time Series. This approach represents each image by spectral indices and then extracts local features of these representations. Next, a clustering technique (e.g., k-means) is applied to the extracted features,...
Suspended sediment (SS) process can be used to explain reason for geological changes in the coastal area. To understand these processes, we analyzed the relationship between shoreline change and suspended sediment concentration (SSC). Landsat TM/ETM+ images were used for generating the map of suspended sediments concentration and shoreline change in this study. Landsat image has high spatial resolution...
Existing monitoring approaches are not effective in deal with routine thermal discharge monitoring requirements of nuclear power plants. This paper describes a monitoring methodology using an aerial remote sensing monitoring system based on an unmanned aerial vehicle (UAV) platform by taking the monitoring of the thermal discharge of the Hongyanhe Nuclear Power Plant as an example, and conducts a...
This paper describes a CSIRO investigation into the potential use of Sentinel-1 (S1) radar data with the Australian Geosciences Data Cube (AGDC) and in particular the necessity of polarimetric analysis of S1 dual-polarization data within AGDC. As a collaboration between Geoscience Australia, CSIRO and the National Computational Infrastructure, the AGDC provides a new collaborative information technology...
In this research, we proposed the Synchro Water Index (SWI) to detect widespread inundation extent in a transboundary river basin using the time-series Moderate Resolution Imaging Spectrometer (MODIS) data, a major contributor to progress in international flood monitoring. After removing clouds using the White-object Index (WoI), the multi-temporal processing coupled with in-situ water level data...
Unmanned aerial vehicle (UAV) images have great potential for agricultural researches because of their high spatial and temporal resolutions. However, most UAV researches in the agriculture field have adopted vegetation indices without second derivative parameters related with a growth model. In addition, visible band vegetation indices in UAV researches have not been explored in detail despite of...
An automatic processing and analysis system using S-NPP, Sentinel-2 and Landsat-8 satellite data have been tested for Japan and rice paddy fields integrating with vector polygons and ground measurements of crop fields. The selected paddy fields are located in the most rice cultivation area in Japan and data were collected during growth season of 2016. The images were pre-processed and extracted paddy...
Drought occurs frequently in the world and it has great influence on the crops. Satellite remote sensing has been widely used in drought monitoring because of its wide range, fast information and short cycle. Temperature vegetation dryness index based on NDVI-Ts space is widely used to assess drought conditions. In this study, LAI-Ts space, constructed from MODIS MOD15A2 and MOD11A2 products, was...
The European Space Agency's Climate Change Initiative (CCI) soil moisture (or Essential Climate Variable soil moisture) long-term database was used to assess the agricultural drought evolution. With this aim, the Soil Water Deficit Index (SWDI) was calculated with the CCI soil moisture product over the agricultural area of the Zamora province (Spain) from 1978 to 2014. The SWDI was compared with other...
Model quality is one of the decisive factors that affect the performance of model-based controllers. However, the existing methods were devoted to the monitoring of the overall model quality, and didn't distinguish mismatch of the process model and the disturbance model. Aiming at this problem, this paper presents a new method for monitoring the quality of process model based on input and output data...
Obesity phenomenon has become a significant issue over the world. Obesity has various negative consequences that might impact not only the health but also the social and the economic issues. Current studies reveal the lack of patients' commitment to the doctors' instructions. In this paper, we propose a new cloud-based model with ultimate aim to monitor obese patients' health condition and behavior...
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