Data‐Driven Forecasting of Low‐Latitude Ionospheric Total Electron Content Using the Random Forest and LSTM Machine Learning Methods by Gebreab K. Zewdie, Cesar Valladares, Morris B. Cohen, David J. Lary, Dhanya Ramani, Gizaw M. Tsidu

“…The input data are obtained from satellite and ground based measurements characterizing the solar‐terrestrial environment. …”
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Altitude Extension of the NCAR‐TIEGCM (TIEGCM‐X) and Evaluation by Yihui Cai, Xinan Yue, Wenbin Wang, Shun‐Rong Zhang, Huixin Liu, Dong Lin, Haonan Wu, Jia Yue, Sean L. Bruinsma, Feng Ding, Zhipeng Ren, Libo Liu

“…Defense Meteorological Satellite Program observations prove that the ionospheric storm effect of TIEGCM‐X is more reasonable. …”
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Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco) by Oumou Abdellah, Essahlaoui Ali, Khrabcha Abdelali, Essahlaoui Narjisse, Alitane Abdennabi, Kassou Amina, El Hafyani Mohammed, Van Rompaey Anton, Gobin Anne

“…Two satellite images were used at a resolution of 15m: one for January as a wet season and another for July as a dry period. …”
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Cloud and Cloud Shadow Detection for Multi-Modal Imagery With Gap-Filling Applications by Keunhoo Cho, Seongwook Park, Boram Seong, Seongwhan Lee, Jae-Pil Park

“…Recent techniques for detecting CCS often employ deep learning methods, which are effective but typically require extensive training data specific to each type of satellite imagery. This study presents a new methodology that applies a model trained on the preconstructed KOMPSAT-3/3A CCS dataset to Landsat-8 and Sentinel-2 satellite imagery. …”
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Analysis of Long-Range Transport of Carbon Dioxide and Its High Concentration Events over East Asian Region Using GOSAT Data and GEOS-Chem Modeling by Seung-Yeon Kim, Sang-Deok Lee, Jae-Bum Lee, Deok-Rae Kim, Jin-Seok Han, Kwang-Ho Choi, Chang-Keun Song

“…The analysis of the long-range transport and high concentration (HC) events using surface/satellite observations and modeling results is conducted. …”
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Detection and Analysis of Burned Areas with Sentinel-2 MSI and Landsat-8 OLI: Çanakkale / Gelibolu Forest Fire by Beyza Yılmaz, Mehveş Demirel, Filiz Bektaş Balçık

“…In this study, the 6 July 2020 dated wildfire that occurred in the Gallipoli district of Çanakkale province has been analyzed by using Sentinel-2 MSI and Landsat-8 OLI satellite images. Burned Area Index (BAI), Normalized Moisture Index (NDMI), Normalized Burn Ratio (NBR), and Normalized Difference Vegetation Index (NDVI) were calculated with the pre and post-fire satellite images of the study area. …”
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An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data by Bingkun Yu, Xianghui Xue, Christopher J. Scott, Xinan Yue, Xiankang Dou

“…As a result, the modeling of the Es layer is very important for the accuracy, reliability, and further applications of modern real‐time global navigation satellite system precise point positioning. In this study, we have constructed an empirical model of the Es layer using the multivariable nonlinear least‐squares‐fitting method, based on the S4max from Constellation Observing System for Meteorology, Ionosphere, and Climate satellite radio occultation measurements in the period 2006–2014. …”
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Machine‐Learned HASDM Thermospheric Mass Density Model With Uncertainty Quantification by Richard J. Licata, Piyush M. Mehta, W. Kent Tobiska, S. Huzurbazar

“…Abstract A thermospheric neutral mass density model with robust and reliable uncertainty estimates is developed based on the Space Environment Technologies (SET) High Accuracy Satellite Drag Model (HASDM) density database. This database, created by SET, contains 20 years of outputs from the U.S. …”
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Multi-decadal evolution of Crary Ice Rise region, West Antarctica, amid modern ice-stream deceleration by Hannah Verboncoeur, Matthew Ross Siegfried, Nicholas Holschuh, Jeremy Paul Winberry, Duncan Byrne, Wilson Sauthoff, Tyler Clark Sutterley, Brooke Medley

“…Here, we construct and analyze a 20-year multi-mission satellite altimetry record of dynamic ice surface-elevation change (dh/dt) in the grounded region encompassing lower Whillans Ice Stream and Crary Ice Rise, a major pinning point of Ross Ice Shelf. …”
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Land Use Change Detection Between Tarsus - Karataş in Lower Seyhan Plain with Spectral Angle Mapper Technique by Mamadou Traore, Senem Tekin, Tolga Çan

“…Landsat-5TM 1985, Landsat-5TM 2000 and Landsat-8 OLI 2019 satellite images with a spatial resolution of 30 m were used in the analyzes. …”
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Prediction of Global Ionospheric TEC Based on Deep Learning by Zhou Chen, Wenti Liao, Haimeng Li, Jinsong Wang, Xiaohua Deng, Sheng Hong

“…Abstract The accurate prediction of ionospheric Total Electron Content (TEC) is important for global navigation satellite systems (GNSS), satellite communications and other space communications applications. …”
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Assessment of groundwater potential zones using geospatial techniques in Mangalore Taluk, Dakshina Kannada District, Karnataka, India by Eka Putri Elsa, Hamidi Masyhuri, M Shet Suraj, S A Swapna

“…Groundwater occurs in weathered or semi-weathered/fractured layers in hard-rock areas whose thickness varies, generally, from 5m to 20m. Satellite pictures are widely being used for groundwater exploration. …”
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Land use and cover change significantly enhanced evapotranspiration in the Yellow River Delta from 2000 to 2023 by Ziqi Mai, Zhongen Niu, Ying Zhao, Pan Li, Yi Wang, Yan Lv, Bin Wang, Mengyu Zhang

“…However, few studies have examined the spatiotemporal patterns and drivers of ET due to satellite-based data constraints. We used the PT-JPL model and Dalton formula based on high-resolution satellite data to simulate ET from 2000 to 2023 and quantified the relative contributions of LUCC and environmental factors. …”
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Soil-Landscape Modeling and Remote Sensing to Provide Spatial Representation of Soil Attributes for an Ethiopian Watershed by Nurhussen Mehammednur Seid, Birru Yitaferu, Kibebew Kibret, Feras Ziadat

“…This is because the model utilizes topographic and satellite data to support the statistical prediction of soil properties between two observations. …”
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Technical note: Recommendations for diagnosing cloud feedbacks and rapid cloud adjustments using cloud radiative kernels by M. D. Zelinka, L.-W. Chao, T. A. Myers, T. A. Myers, Y. Qin, S. A. Klein

“…However, because this method relies on cloud property histograms derived from passive satellite sensors or produced by passive satellite simulators in models, changes in obscuration of lower-level clouds by upper-level clouds can cause apparent low-cloud feedbacks and adjustments, even in the absence of changes in lower-level cloud properties. …”
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Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…The proposed method contributes efficiently to the United Nations’ sustainable development goal (02: Zero Hunger) using satellite, geospatial, and statistical data integration.…”
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Determination of Land Surface Temperature with Thermal Remote Sensing Images: A Case Study Kocaeli Province by Özer Akyürek

“…Finally, the Soil Adjusted Vegetation Index (SAVI) and Normalized Difference Built-up Index (NDBI) images were created from the satellite images and the statistical relationship between LST was investigated. …”
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A Simulation Study of GNSS-R Polarimetric Scattering from the Bare Soil Surface Based on the AIEM by Xuerui Wu, Shuanggen Jin

“…In the past two decades, global navigation satellite system-reflectometry (GNSS-R) has emerged as a new remote sensing technique for soil moisture monitoring. …”
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Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

“…Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder. …”
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Polarimetric image recovery method with domain-adversarial learning for underwater imaging by Fei Tian, Jiuming Xue, Zhedong Shi, Hongling Luo, Wanyuan Cai, Wei Tao

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