Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China by Junzhi Liu, Zheng Duan, Jingchao Jiang, A-Xing Zhu

“…This study conducted a comprehensive evaluation of three satellite precipitation products (TRMM (Tropical Rainfall Measuring Mission) 3B42, CMORPH (the Climate Prediction Center (CPC) Morphing algorithm), and PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks)) using data from 52 rain gauge stations over the Meichuan watershed, which is a representative watershed of the Poyang Lake Basin in China. …”
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Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators by Jacob Beck, Lukas Malte Kemeter, Konrad Durrbeck, Mohamed Hesham Ibrahim Abdalla, Frauke Kreuter

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Impact of COVID-19 on the Air Quality over China and India Using Long-term (2009–2020) Multi-satellite Data by Manish Soni, Sunita Verma, Hiren Jethava, Swagata Payra, Lok Lamsal, Priyanshu Gupta, Janhavi Singh

“…., nitrogen dioxide (NO2), sulphur dioxide (SO2), Aerosol Index (AI) and aerosol optical depth (AOD) data are retrieved from the Ozone Monitoring Instrument (OMI), TROPOspheric Monitoring Instrument (TROPOMI), and MODerate Resolution Imaging Spectroradiometer (MODIS) sensor on the Terra and Aqua satellites, respectively. Over China, during COVID-19 lockdown a significant drop in columnar abundances of tropospheric NO2 (–37%), SO2 (–64%) and AOD (–8%) for 2020 in comparison to 11 years mean (2009–19) has been observed. …”
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Dynamic Analysis of <i>Spartina alterniflora</i> in Yellow River Delta Based on U-Net Model and Zhuhai-1 Satellite by Huiying Li, Guoli Cui, Haojie Liu, Qi Wang, Sheng Zhao, Xiao Huang, Rong Zhang, Mingming Jia, Dehua Mao, Hao Yu, Zongming Wang, Zhiyong Lv

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Design Study for a Quasisynchronous CDMA Sensor Data Collection System: An LEO Satellite Uplink Access Technique Based on GPS by Yijun Chen, Sheng Ding, Zhouchen Xie, Zhuangping Qi, Xuwen Liang

“…With the development of the LEO satellite communication technology, highly dependable wireless communication and sensor data collection using LEO satellites have been getting much attention for emergency, marine research, and forest fire disaster in the remote region. …”
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Rest-to-Rest Attitude Naneuvers and Residual Vibration Reduction of a Finite Element Model of Flexible Satellite by Using Input Shaper by Setyamartana Parman, Hideo Koguchi

“…An input shaper is then applied to reduce the residual oscillation of its motion at several natural frequencies in order to get an expected pointing precision of the satellite. Once the shaped input is given to the satellite, the performance improves significantly.…”
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Design and Implementation of Single Axis Solar Tracking System: Utilizing GPS, Astronomical Equations, and Satellite Dish Actuator for Optimal Efficiency by Rizgar Ahmed Salih, Karzan Qadir Mohammed, Peshawa Osman Hama, Rawaz Othman Hassan, Barham Kamal Noori

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SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

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Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations by F. Hellmuth, T. Carlsen, A. S. Daloz, R. O. David, H. Che, T. Storelvmo

“…Here, we compare these quantities as derived from satellite observations, reanalysis datasets, and Earth system models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) and find significant discrepancies between the datasets for mid- and high latitudes in both hemispheres. …”
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Automatic Estimation of Solar Rooftops and Power Generation From Publicly Available Satellite Imagery Through Georeferencing and Large-Scale Support by John Sullivan, Apichon Witayangkurn

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Comprehensive Evaluation and Error-Component Analysis of Four Satellite-Based Precipitation Estimates against Gauged Rainfall over Mainland China by Guanghua Wei, Haishen Lü, Wade T. Crow, Yonghua Zhu, Jianbin Su, Li Ren

“…The Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) V06 product has been widely studied, but the errors and the source of the errors within IMERG over diverse climate regions still need to be quantified. …”
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Apports de l’imagerie satellite pour le suivi de l’impact des événements cycloniques à Madagascar by Thibault Catry, Christophe Révillion, Pascal Mouquet, Gwenaëlle Pennober

“…The results showed that satellite imagery is suitable for the quantification of hurricane-related floods over Madagascar territory. …”
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Usage of Satellite Imagery to Determine Distribution of Dacrycarpus imbricatus (Blume) De Laub. on The Tapak Hill, Batukahu Natural Reserve Bali by Rajif Iryadi, Arief Priyadi, I Dewa Putu Darma

“…This study aimed to determine the location and distribution of D. imbricatus using Pleaides satellite image that had a high spatial resolution. …”
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Assessing terrain shifts and infrastructure impact: A dual approach using satellite imagery and UAV data in the Cibedug, Rongga landslide by Hilmi Zaenal Putra Moch, Tohari Adrin, Fakrus Shomim Achmad, Soebowo Eko, Sudrajat Yayat, Amar, Wahyudin, Sarah Dwi

“…The research integrates high-resolution satellite imagery and UAV data to analyse the vertical, horizontal, and rotational displacements caused by the landslide. …”
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DINÁMICA DEL PAISAJE AGRARIO DE SAN PATRICIO DEL CHAÑAR (NEUQUÉN, ARGENTINA) A TRAVÉS DE IMÁGENES SATELITALES by Florencia G. Finessi, Damián Groch

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A Comparative Analysis Between the ENVISAT and ICEYE SAR Systems for the Estimation of Sea Surface Current Velocity by Virginia Zamparelli, Pietro Mastro, Antonio Pepe, Simona Verde

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National Exposed Sediment Search and Inventory (NESSI): Utilizing Satellite Imagery and Machine Learning to Identify Dredged Sediment Placement Site Recovery by Thomas P. Huff, Emily R. Russ, Todd M. Swannack

“…The National Exposed Sediment Search and Inventory (NESSI) was built to show the capability of using machine learning techniques to identify dredged sediments. A combination of satellite imagery data obtained and processed using Google Earth Engine and machine learning algorithms were applied at known dredged material placement sites to develop a time series of dredged material placement events and subsequent site recovery. …”
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Assessment of land cover/land use changes using object-oriented processing of satellite imageries (1985-2015) in the Rozechai Watershed of Urmia by Khadijeh Haji, Abazar Esmali-Ouri, Raoof Mostafazadeh, Habib Nazarnejad

“…The purpose of the present study was to evaluate land cover/ land use changes at the Rozechai Watershed during the period of 30-years 1985-2015 using Landsat 5 and Landsat 7 satellite imageries such as TM and ETM+ sensors; plus, land use maps were prepared using TerrSet software and object-oriented classification in 1985 and 2000 years. …”
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Monitoring Soil Salinity in Arid Areas of Northern Xinjiang Using Multi-Source Satellite Data: A Trusted Deep Learning Framework by Mengli Zhang, Xianglong Fan, Pan Gao, Li Guo, Xuanrong Huang, Xiuwen Gao, Jinpeng Pang, Fei Tan

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Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

Subjects: “…global navigation satellite system…”
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