Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

“…In this study, we compare two satellite remote sensing data on water quality assessment, focusing on chlorophyll-a (Chl-a) due to its importance in monitoring eutrophication and algal boom potential. …”
Get full text

Evaluation of atmospheric correction algorithms for salt lake water assessment: Accuracy, band-specific effects, and sensor consistency. by Changjiang Liu, Fei Zhang, Chi-Yung Jim, Saheed Adeyinka Oke, Elhadi Adam

“…Atmospheric correction plays an important role in satellite monitoring of lake water quality. However, different atmospheric correction algorithms yield significantly different accuracy for inland lake waters beset by shallowness and turbidity. …”
Get full text

Dynamics of Electron Flux in the Slot Region and Geomagnetic Activity by L. Nikitina, L. Trichtchenko

“…Abstract The slot region between the radiation belts in the magnetosphere is statistically less populated by the energetic electrons, which makes it attractive in the design considerations of the satellite missions. As has been shown in the last decades, the dynamics of this region is complicated, with strong enhancements of electron density associated with space weather events. …”
Get full text

Visualization of Snow Cover Changes in the Greater Caucasus Mountains Using Integrated Multi-Sensor Image Fusion by Imrani Zaur, Rasouli Aliakbar

“…The main goal of the current research was to visualize recent snow cover changes in the parts of the Greater Caucasus Mountains along Shahdag, Bazarduzu, and Tufandag months, using multi-sensor and multi- spectral satellite image processing. Accordingly, accessible satellite imagery from the valid sites was obtained, and a few necessary pre-processing operations, such as atmospheric and radiometric corrections, were subjected to available Sentinel-2 and Landsat (8 and 9) images from 2017 to 2023, adjusted to annual, spring-summer months. …”
Get full text

Diurnal Variation of Seasonal Precipitation over the CONUS: A Comparison of Gauge Observations with TRMM Data by Liming Zhu, Yu Zhao, Xiaoping Rui, Qingwei Wei

“…However, the spatial patterns of the obtained maps do not match, and the TRMM satellite data perform poorly in capturing the hourly precipitation event. …”
Get full text

Study of Aerosols’ Characteristics and Dynamics over the Kingdom of Saudi Arabia Using a Multisensor Approach Combined with Ground Observations by Ashraf Farahat, Hesham El-Askary, Abdulaziz Al-Shaibani

“…This study covers various aspects of the aerosol distribution and characteristics, namely, optical depth climatology, absorption characteristics, and their microphysical properties over four regions in Saudi Arabia using satellite and ground observations including MODIS/Terra and Aqua, OMI, MISR/Terra, AERONET, and CALIPSO for the period April 2003–January 2013. …”
Get full text

The Relationship between Land Subsidence and Water Use in Yazd-Ardakan Plain Using Sentinel-1 Images by Mohammadreza Goodarzi, Maryam Sabaghzadeh, Amirreza Rajabpour niknam

“…Furthermore, to validate the satellite-derived results, they were compared with those obtained through accurate leveling methods conducted by the Iran National Cartographic Center. …”
Get full text

Changes in Air Quality during the COVID-19 Lockdown in Singapore and Associations with Human Mobility Trends by Jiayu Li, Federico Tartarini

“…We obtained air quality and weather data from April 2016 to May 2020, satellite data for 2019 and 2020 and mobility data for 2020 from Apple, Google, and the Singaporean Housing & Development Board. …”
Get full text

Forest Fire Detection Using Wireless Sensors and Networks by Mingyue Wang

“…This means there is no need to build towers or set up complicated communication links such as; microwave and satellite. It can be deployed anywhere, even in inaccessible places. …”
Get full text

EL IMPACTO AMBIENTAL DEL CRECIMIENTO ESPACIAL DE LA CIUDAD DE CORRIENTES SOBRE LAGUNAS PERIURBANAS by Felix I. contreras

“…Moreover, the analysis of the satellite images also showed that, after a long dried period, the areas previously occupied by shallow lakes were occupied by human settles. …”
Get full text

Ground GNSS Station Selection to Generate the Global Ionosphere Maps Using the Information Content by Sicheng Wang, Sixun Huang, Hanxian Fang

“…Abstract More and more satellite constellations and ground receivers are available all over the world, and they can provide rich ionospheric remote sensing data sources. …”
Get full text

Estimation of snow cover through object-oriented techniques using image sensors OLI and TIRS (Case Study: Sabalan Mountain) by Hooshang Seifi

“…The classification of satellite digital images is one of the most important methods for extracting information, which is currently done with two pixel-based and object-oriented processing methods. …”
Get full text

Resource Scheduling Method for Integration of TT＆C and Observation Based on Multi-Agent Deep Reinforcement Learning by Siyue CHENG, Haoran LI, Weigang BAI, Di ZHOU, Yan ZHU

“…With the development of satellite communication technology and the continuous expansion of the constellation scale, the integration of TT＆amp;C and observation technology has become the mainstream trend.The large constellation scale, many scheduling objects and complex operation joint control bring great challenges to the integrated resource scheduling of satellite network TT＆amp;C and observation.Subject to the low solution effi ciency and complex constraints of scheduling algorithms, the traditional TT＆amp;C resource scheduling technology adopts the advance injection TT＆amp;C instructions to perform tasks according to the fi xed deployment, which is diffi cult to meet the scheduling needs of emergencies and emergency tasks.Therefore, a kind of resource scheduling method based on multi-agent actor-Agent Actor-Critic Deterministic Policy Gradient Algorithms (MADDPG) was presented.With centralized training and distributed execution, the multi-agent model of integrated task of TT＆amp;C and observation was established.By analyzed the scheduling strategy of neighbor agent, the response speed of local information was improved.According to the model and constraints in the integrated resource scheduling problem of TT＆amp;C and observation, selected signifi cant and interpretable constraints, then established the multi-agent resource scheduling reinforcement learning model, and carried on the simulation test.The simulation results showed that the task benefi t of this method was 22% higher than the traditional method.…”
Get full text

Orbital Period Changes of Selected Two Semi-Deteached Binaries by Muhammed Faruk Yıldırım

“…Since the data obtained from satellite data are very sensitive, the minima times of the target systems have obtained from Kepler (K2) and TESS observations. …”
Get full text

Evaluating the Adequacy of MODIS in the Assessment of Drought (Case Study: Urmia Lake Basin) by Mohammadhusayn Rezaeimoghadam, Khalil Valizadeh Kamran, Hashem Rostamzadeh, Ali Rezaee

“…Data from Terra-MODIS Satellite (for May the first) and Monthly precipitation data (from February to April) were also used in this process. …”
Get full text

Climate Change Indicators and Spatiotemporal Shift in Monsoon Patterns in Pakistan by Fasiha Safdar, Muhammad Fahim Khokhar, Muhammad Arshad, Iftikhar Hussain Adil

“…This study is primarily designed to analyse the extent of rainfall and temperature variations in Pakistan over the northern monsoon belt by using satellite and ground-based observations. The satellite gridded data for rainfall are acquired from Tropical Rainfall Measuring Mission (TRMM) along with rainfall and temperature data from 15 ground stations of Pakistan Meteorological Department (PMD). …”
Get full text

GOLD Observations of Equatorial Plasma Bubbles Reaching Mid‐Latitudes During the 23 April 2023 Geomagnetic Storm by Deepak Kumar Karan, Carlos R. Martinis, Richard W. Eastes, Robert E. Daniell, William E. McClintock, Chao‐Song Huang

“…Zonal ion drifts from a defense meteorological satellite program satellite suggest that westward neutral winds and perturbed westward ion drifts over mid‐latitudes contributed to the observed latitudinal shear in zonal drifts.…”
Get full text

Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

“…., unmanned aerial vehicle (UAV)- and satellite-observed). Considering this, we extracted four maize growth process parameters using Leaf Area Index (LAI) obtained from UAV (equipped with multispectral sensor, centimeter-level) and satellite (MODIS, 1 km) observations: PP_a (representing the duration of the crop growth period), PP_b (representing the peak growth stage of the crop), PP_c (representing the initial state of the crop), and LAImax (maximum LAI). …”
Get full text

Características das ilhas de calor em cidades de porte médio: exemplos de Presidente Prudente (Brasil) e Rennes (França) by Margarete Cristiane de Costa Trindade Amorim, Vincent Dubreuil, Hervé Quenol, João Lima Sant’Ana Neto

“…This paper aims to analyze and compare thermal characteristics of urban climate of two middle size cities: Rennes (France) and Presidente Prudente (Brazil), by registering air temperature (network pointes and mobile transect) and surface data obtained by using Landsat7 satellite thermal images. Results show that temperature grows faster in Rennes than Presidente Prudente and urban heat island generation (UHI) by different cities urbanization processes.…”
Get full text

Comprehensive evaluation of seasonal forecasts from NMME and statistical models over the Blue Nile Basin and the Grand Ethiopian Renaissance Dam (GERD) watershed by Mekonnen Gebremichael, Yu-Chuan Tien, Vahid Nourani

“…Study region: The Blue Nile basin, including the Grand Ethiopian Renaissance Dam (GERD) Study focus: This study evaluates the performance of seasonal precipitation forecasts from the North American Multi-Model Ensemble (NMME) over the Blue Nile Basin and compares them to newly developed statistical forecasting models, using the satellite-based Integrated Multi-satellitE Retrievals for GPM (IMERG) as the reference product. …”
Get full text