Influence of amplitude and phase imbalance of quadratures on the noise immunity of coherent reception of signals with quadrature amplitude modulation by G. V. Kulikov, A. A. Lelyukh

“…Quadrature amplitude modulation (QAM) is used for high-speed information transmission in many radio systems and, in particular, in DVB-S and DVB-S2/S2X digital satellite television systems. A receiver included as a part of the transmitting equipment of such systems has a block for the formation of quadrature oscillations used as a reference for signal demodulation. …”
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The effect of urban sprawl in emerging of transportation flows and urban air pollution in Tehran metropolitan region

“…For analysis of suburban spatial transportation have used Raw Data Intra-Urban and suburban Data in 1395 Year And for spatial analysis of air pollution (PM2.5 and PM10), have been used The raw data from sensing stations and Landsat satellite images (OLI) for three selected days in 1392, 1393, and 1395 as survey samples in the ArcGIS software. …”
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Aerosol Modulation of Ultraviolet Radiation Dose over Four Metro Cities in India by A. S. Panicker, G. Pandithurai, G. Beig, Dongchul Kim, Dong-In Lee

“…Tropospheric Emission Monitoring Internet Service (TEMIS), archived UV-index (UV-I), and UV daily erythemal dose obtained from SCIAMACHY satellite were used in this study during June 2004 and May 2005 periods covering four important Indian seasons. …”
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Land Use/Land Cover Change and Its Driving Forces in Shenkolla Watershed, South Central Ethiopia by Belayneh Bufebo, Eyasu Elias

“…Unsupervised and supervised classification techniques were employed to get thematic information from satellite imagery. ArcGIS 10.3 and QGIS v 3.0 softwares were used to accomplish the analysis. …”
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Modeling Impact of Land Use Dynamics on Hydrology and Sedimentation of Megech Dam Watershed, Ethiopia by Abebe Tarko Assfaw

“…The overall analysis was performed by using 1998 historical and 2016 recent land use satellite images. The analysis has shown that the cultivated land has increased from 60.69% to 67.17% and urban land from 2.3% to 3.36% between 1998 and 2016. …”
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STIDNet: Spatiotemporally Integrated Detection Network for Infrared Dim and Small Targets by Liuwei Zhang, Zhitao Zhou, Yuyang Xi, Fanjiao Tan, Qingyu Hou

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Evaluating the accuracy of hyperspectral and multispectral images in wetland cover classification using data mining models (Case study: Shadegan wetland) by Hamid Bagheri, Rahime Rostami

“…Due to the spectral similarity between different plant species of wetlands and plants along the wetlands and agricultural lands, this is faced with problems using multispectral data and hyperspectral data can be very useful in this regard. in this study power of hyperspectral and multispectral sensors in identifying the characteristics of the wetland and the ability of ETM + (2011), Hyperion (2011) and ALI (2011) sensors to study the characteristics of Shadegan wetland during 1390 and different spectral indices with a suitable combination of The satellite imagery bands of these sensors were compared as input to a variety of classification methods including maximum likelihood, minimum distance, neural network and support vector machine. …”
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Rarefied Nozzle Flow Computation Using the Viscosity-Based Direct Simulation Monte Carlo Method by Deepa Raj Mopuru, Nishanth Dongari, Srihari Payyavula

“…Micro-nozzles are essential for enabling precise satellite attitude control and orbital maneuvers. Accurate prediction of performance parameters, including thrust and specific impulse, is critical, necessitating careful design of these nozzles. …”
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Objects outline delineation by nonliniear filtration methods for boundary pixels by D. V. Zaerko, V. A. Lipnitski, N. L. Bobrova, Dm. V. Zaerko

“…Analysis, the influence of the algorithm for the outline objects segmentation on the boundary pixels from the preliminary selection of methods of redefinition is carried out by example of combining several satellite images along the outline of urban infrastructure. …”
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Wildfire Susceptibility Mapping using NBR Index and Frequency Ratio Model by Farzad Bolouk Heidari, Ramin Arfania

“…The locations of eight-year fire points from 2013 to 2020 of Nova satellite sensor VIIRS were received and the fire map of each was constructed using the NBR (Normalized Burn Ratio). …”
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Coastal Inlet Analysis by Image Color Intensity Variations: Implications for the Barrier Coast of Ukraine by Ilya V. Buynevich, Oleksiy V. Davydov, Duncan M. FitzGerald

“…Increasingly, remote sensing technologies (aerial and satellite imagery, small unmanned aerial vehicles, etc.) are employed as sources of high-definition spatial databases. …”
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Performance of Three Reanalysis Precipitation Datasets over the Qinling-Daba Mountains, Eastern Fringe of Tibetan Plateau, China by Gefei Wang, Xiaowen Zhang, Shiqiang Zhang

“…Although the evaluation of satellite precipitation data in this region has been performed, another kind of popular precipitation product-reanalysis dataset has not been assessed in depth. …”
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Atmospheric Methane Condition over the South Sumatera Peatland during the COVID-19 Pandemic by Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim

“…To evaluate the effects of anthropogenic activity on peatlands, we investigated the CH4 concentrations in the atmosphere above the tropical peatlands of the Indonesian province South Sumatra before the LSSR (March 2020), during the LSSR (May 2020), and during the corresponding months of the previous year (March and May 2019). Using satellite-retrieved data from NASA, viz., the CH4 concentration and gross primary production (GPP) measured by the Atmospheric Infrared Sounder (AIRS) on board Aqua and Moderate Resolution Imaging Spectroradiometer (MODIS) on board Terra, respectively, we discovered a decrease of approximately 5.5% in the mean CH4 concentration (which averaged 1.73 ppm across the periods prior to lockdown) as well as an increase in the GPP (which ranged from 53.3 to 63.9 g C m−2 day−1 during the lockdown, indicating high atmospheric carbon intake) during the LSSR. …”
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Vision-Based Object Recognition and Precise Localization for Space Body Control by Zeyu Shangguan, Lingyu Wang, Jianquan Zhang, Wenbo Dong

“…The space motion control is an important issue on space robot, rendezvous and docking, small satellite formation, and some on-orbit services. The motion control needs robust object detection and high-precision object localization. …”
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Association of Catharanthus yellow mosaic virus and a novel Tomato leaf curl Lucknow betasatellite with papaya leaf curl disease (PaLCD) in India by Priyanka, Yusuf Akhter, Sangeeta Saxena

“…Molecular characterization revealed the presence of a begomovirus and associated satellite molecules. Analysis of the full-length DNA-A component of one begomovirus isolate (PP998006) showed a 93 % nucleotide similarity with Catharanthus yellow mosaic virus (CaYMV). …”
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Tourism-Induced Land Use Transformations, Urbanisation, and Habitat Degradation in the Phu Quoc Special Economic Zone by Can Trong Nguyen, Nigel K. Downes, Asamaporn Sitthi, Chudech Losiri

“…Using multi-temporal Landsat satellite imagery and random forest classification, we quantify LULCCs and assess the environmental consequences of urban expansion on habitat degradation and intensification of the island’s thermal environment, focusing on land surface temperature (LST) changes. …”
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STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery by Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen

“…This study introduces the STURM-Flood dataset, a high-quality, open-access, and DL-ready resource for flood extent mapping using Sentinel-1 and Sentinel-2 satellite imagery, combined with ground-truth data from the Copernicus Emergency Management Service. …”
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Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China by Jun Wang, Qian He, Ping Zhou, Qinghua Gong

“…We then used consecutive Landsat 8 satellite images to obtain the spatial distribution of four types of soil erosion and carried out ground truth checking of the RUSLE. …”
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Investigating Mechanisms Driving Differences in the Characteristics of Precipitation in the E3SM Multiscale Modeling Framework With 2D Versus 3D Cloud Resolving Model Configuration... by Wei‐Ching Hsu, Gabriel J. Kooperman, Walter M. Hannah

“…Our results show that tropical mean precipitation patterns are better represented in 3dMMF compared to observations (Integrated Multi‐satellitE Retrivals for GPM and Global Precipitation Climatology Project One Degree Daily products), while 2dMMF better captures extreme precipitation intensity, with systematic land‐ocean differences in precipitation and cloud‐associated variables. …”
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Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning by Bu-Yo Kim, Joo Wan Cha, Yong Hee Lee

“…The estimation of PM10 and PM2.5 for the test data set was more accurate than that in previous studies that used satellite and ground-based meteorological data (bias = 0.10 µg m−3, root mean square error (RMSE) = 14.44 µg m−3, and R = 0.92 for PM10; and bias = 0.12 µg m−3, RMSE = 7.16 µg m−3, and R = 0.91 for PM2.5). …”
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