Influence of environmental variables and anthropogenic activities on soda-saline lakes chemistry in northern Tanzania: A remote sensing and GIS approach by Azaria Stephano Lameck, Brian Rotich, Abdalrahman Ahmed, Harison K. Kipkulei, Peto Akos, Emil Boros

“…This study employed Remote Sensing and Geographical Information Systems to explore the influence of environmental factors and human-induced land use/land cover changes on the chemistry of soda-saline lakes in Northern Tanzania. Satellite-based rainfall data were sourced from the Climate Hazards Group Infrared Precipitation with Station (CHIRPS) datasets, and temperature data were obtained from MERRA-2. …”
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Sources of PM2.5 exposure and health benefits of clean air actions in Shanghai by Yixuan Gu, Daven K. Henze, Hong Liao

“…By incorporating high-resolution satellited-derived PM2.5 estimates into the calculation, we investigate the response of PM2.5 exposure and its related health impacts in Shanghai to changes in anthropogenic emissions from each individual region, species, sector, and month. …”
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Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin by Wen Sun, Yejin Li, Fenghong Li, Guangsen Liu, Peng Rao

“…Static cloud-sea scenes are generated using Qilu-2 and New Technology satellite images, while dynamic scenarios are simulated with our iterative fractal dimension optimization algorithm. …”
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Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques by Xiaodong Hu, Bo Xia, Yongqi Guo, Yang Yin, Huihua Chen

“…In scenario 1, disturbance boundaries were identified using Gaofen-1 satellite data through processes such as imagery fusion, unsupervised classification, and spatial analysis. …”
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Trends in vegetation cover changes in Bonny area of the Niger Delta by A Adoki

“…There is a dearth of epiphytic bryophytes and lichens on the boles and branches of the trees. From satellite imageries of the area, it is evident that the landcover classes changed across the three epochs. …”
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Wave erosion, frontal bending, and calving at Ross Ice Shelf by N. B. Sartore, T. J. W. Wagner, M. R. Siegfried, N. Pujara, L. K. Zoet

“…Indirect and anecdotal observations of such feet at the Ross Ice Shelf front suggest that the resulting bending may be widespread and can trigger calving. We consider satellite observations together with an elastic beam model and a parameterization of wave erosion to better understand the dynamics at the ice shelf front. …”
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Evaluation of Rainfall-Induced Accumulation Landslide Susceptibility Based on Remote Sensing Interpretation by Zhen Wu, Runqing Ye, Jue Huang, Xiaolin Fu, Yao Chen

“…By interpreting high-resolution satellite remote sensing images from before and after heavy rainfall on 31 August 2014, the distribution of rainfall-induced accumulation landslides was obtained. …”
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CAIL: Cross-Modal Vehicle Reidentification in Aerial Images Using the Centroid-Aligned Implicit Learning Network by Haoran Gao, Yiming Yan, Yanming He, Jianzheng Zhou, Zhengning Zhang, Yunchao Yang

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Trends in vegetation cover changes in Bonny area of the Niger Delta by A Adoki

“…There is a dearth of epiphytic bryophytes and lichens on the boles and branches of the trees. From satellite imageries of the area, it is evident that the landcover classes changed across the three epochs. …”
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Seasonal Features and a Case Study of Tropopause Folds over the Tibetan Plateau by Jiali Luo, Wenjun Liang, Pingping Xu, Haiyang Xue, Min Zhang, Lin Shang, Hongying Tian

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Use of Subsurface Geology in Assessing the Optimal Co-Location of CO2 Storage and Wind Energy Sites by I. de Jonge-Anderson, J. R. Underhill

“…If combined with nearby satellite fields, there is potential for the development of a CO2 storage cluster capable of sequestering 60 MtCO2, however, this potential is challenged by the planned development of an offshore wind farm. …”
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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Specifically, we introduced four distinct deep learning models that use site × species community data but differ in their internal structure or on the input environmental data structure: (1) a multi‐layer perceptron (MLP) model for tabular data (e.g. in‐situ/raster climate or soil data), (2) a convolutional neural network (CNN) and (3) a vision transformer (ViT) models tailored for image data (e.g. aerial ortho‐photographs, satellite imagery), and a multimodal model that integrates both tabular and image data. …”
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Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing by Yirui Zhang, Shouhang Du, Linye Zhu, Tianzhuo Guo, Xuesong Zhao, Junting Guo

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Unveiling the effects of post-monsoon agricultural biomass burning on aerosols, clouds, and radiation in Northwest India by Pradeep Khatri, Tadahiro Hayasaka, Prabir K. Patra, Husi Letu, Hiren Jethva, Sachiko Hayashida

“…In this study, we aim to address this research gap by analyzing fire, meteorological parameters, aerosol, cloud, and radiation data spanning nearly two decades (2002–2021), obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite, Modern-Era Retrospective Analysis Research and Applications, Version 2 (MERRA-2), and the Fifth Generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5). …”
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Assessment of Soil Erosion and Its Impact on Agricultural Productivity by Using the RMMF Model and Local Perception: A Case Study of Rangun Watershed of Mid-Hills, Nepal by Dinesh Bhandari, Rajeev Joshi, Raju Raj Regmi, Nripesh Awasthi

“…Soil erosion was assessed by using data on soil, digital elevation model, rainfall, land use, and land cover visually interpreted from multitemporal satellite images, and ILWIS 3.3 academic software was used to perform the model. …”
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Human and Nature Effects Detection on the Environmental Properties of Archaeological Historic Cairo City in Egypt Based on Space and Ground Remote Sensing Data by Abdelaziz Elfadaly, Osama Wafa, Ahmed Gad, Hossam Khedr, Ghada Atta

“…In this study, optical satellite images of Corona, Orbview-3, and Landsat 8, in addition to the Google Earth images, were used to detect land use change values and their reflection on the land surface temperature (LST) levels in the study area. …”
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Observation-driven model for calculating water-harvesting potential from advective fog in (semi-)arid coastal regions by F. Lobos-Roco, F. Lobos-Roco, J. Vilà-Guerau de Arellano, C. del Río, C. del Río

“…To assess spatial variability, we combine the model with satellite-retrieved data, enabling the mapping of fog-harvesting potential along the Atacama coast. …”
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Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR by Yifan Wu, Xiyu Qi, Lijia Huang, Bingchen Zhang, Wenyi Zhang, Lili Yan

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Morphogenetic peculiarities of reproductive biology in sugar beet (Beta vulgaris L.) breeding by T. P. Zhuzhzhalova, A. A. Nalbandyan, E. N. Vasilchenko, N. N. Cherkasova

“…The study of sugar beet starting materials for the presence of TRs mini-satellite loci making it possible to reveal O-type plants-pollinators (sterility fixing agent) and MS-form plants are of interest for breeding as well. …”
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